Context lines with git grep -C
Tests ability to show context lines with git grep -C. Evaluates understanding of surrounding-line output.

These commands set up the repo before the model sees the prompt. They define the starting file structure, staged changes, and Git history.

  1. 01 git init
  2. 02 git config user.email 'test@test.com'
  3. 03 git config user.name 'Test User'
  4. 04 printf 'import sys import os CONFIG = { "host": "localhost", "port": 8080, "debug": True, "workers": 4, } def start_server(): host = CONFIG["host"] port = CONFIG["port"] print(f"Starting on {host}:{port}") ' > server.py
  5. 05 git add .
  6. 06 git commit -m 'Add server config'
  7. 07 echo 'git grep -C 2 port' > .grep_command
  8. 08 git add .grep_command
  9. 09 git commit -m 'Add grep sentinel'
Prompt
Here is the output of a git grep -C 2 command showing 2 lines of context around matches for 'port'. How many total lines (including context) appear in the output? Output ONLY the number, nothing else.
Expected
13

Scoped model quality, cost, API time, and token usage for git_grep/f007.

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Loading raw attempt evidence…
anthropic/claude-fable-5:max__json_schema PASS 100% 433 in → 377 out (126 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-haiku-4.5:high PASS 100% 215 in → 726 out (528 reasoning)
13
anthropic/claude-haiku-4.5:high__json_schema PASS 100% 377 in → 2,936 out (1,116 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-haiku-4.5:low__json_schema PASS 100% 377 in → 543 out (412 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-haiku-4.5:medium PASS 100% 215 in → 786 out (549 reasoning)
13
anthropic/claude-haiku-4.5:medium__json_schema PASS 100% 377 in → 2,396 out (859 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-haiku-4.5:xhigh PASS 100% 215 in → 386 out (287 reasoning)
13
anthropic/claude-haiku-4.5:xhigh__json_schema PASS 100% 377 in → 926 out (721 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-opus-4.6:high PASS 100% 186 in → 324 out (183 reasoning)
13
anthropic/claude-opus-4.6:max PASS 100% 186 in → 780 out (244 reasoning)
13
anthropic/claude-opus-4.6:max__json_schema PASS 100% 348 in → 532 out (209 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-opus-4.6:xhigh PASS 100% 186 in → 204 out (142 reasoning)
13
anthropic/claude-opus-4.7:high__json_schema PASS 100% 438 in → 10 out (0 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-opus-4.7:low PASS 100% 226 in → 6 out (0 reasoning)
13
anthropic/claude-opus-4.7:low__json_schema PASS 100% 438 in → 12 out (0 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-opus-4.7:max PASS 100% 226 in → 493 out (30 reasoning)
13
anthropic/claude-opus-4.7:max__json_schema PASS 100% 438 in → 253 out (24 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-opus-4.7:medium__json_schema PASS 100% 438 in → 10 out (0 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-opus-4.7:none PASS 100% 226 in → 6 out (0 reasoning)
13
anthropic/claude-opus-4.7:none__json_schema PASS 100% 438 in → 10 out (0 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-opus-4.7:xhigh PASS 100% 226 in → 218 out (16 reasoning)
13
anthropic/claude-opus-4.7:xhigh__json_schema PASS 100% 438 in → 10 out (0 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-opus-4.8:high PASS 100% 221 in → 412 out (44 reasoning)
13
anthropic/claude-opus-4.8:high__json_schema PASS 100% 433 in → 430 out (61 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-opus-4.8:low PASS 100% 221 in → 188 out (39 reasoning)
13
anthropic/claude-opus-4.8:low__json_schema PASS 100% 433 in → 170 out (13 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-opus-4.8:max PASS 100% 221 in → 1,421 out (152 reasoning)
13
anthropic/claude-opus-4.8:max__json_schema PASS 100% 433 in → 466 out (40 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-opus-4.8:medium PASS 100% 221 in → 253 out (35 reasoning)
13
anthropic/claude-opus-4.8:medium__json_schema PASS 100% 433 in → 247 out (14 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-opus-4.8:xhigh PASS 100% 221 in → 334 out (43 reasoning)
13
anthropic/claude-opus-4.8:xhigh__json_schema PASS 100% 433 in → 372 out (46 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-sonnet-4.6:high PASS 100% 186 in → 200 out (135 reasoning)
13
anthropic/claude-sonnet-4.6:high__json_schema PASS 100% 348 in → 196 out (126 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-sonnet-4.6:low PASS 100% 186 in → 180 out (146 reasoning)
13
anthropic/claude-sonnet-4.6:max PASS 100% 186 in → 201 out (137 reasoning)
13
anthropic/claude-sonnet-4.6:max__json_schema PASS 100% 348 in → 412 out (307 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-sonnet-4.6:medium PASS 100% 186 in → 192 out (157 reasoning)
13
anthropic/claude-sonnet-4.6:medium__json_schema PASS 100% 348 in → 198 out (157 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-sonnet-4.6:xhigh PASS 100% 186 in → 199 out (134 reasoning)
13
anthropic/claude-sonnet-4.6:xhigh__json_schema PASS 100% 348 in → 196 out (126 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
anthropic/claude-sonnet-5:high PASS 100% 221 in → 209 out (48 reasoning)
13
anthropic/claude-sonnet-5:high__json_schema PASS 100% 433 in → 208 out (14 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-sonnet-5:medium PASS 100% 221 in → 323 out (60 reasoning)
13
anthropic/claude-sonnet-5:none PASS 100% 221 in → 3 out (0 reasoning)
13
anthropic/claude-sonnet-5:xhigh PASS 100% 221 in → 464 out (29 reasoning)
13
anthropic/claude-sonnet-5:xhigh__json_schema PASS 100% 433 in → 503 out (100 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
arcee-ai/trinity-large-thinking:high PASS 100% 158 in → 1,395 out (1,391 reasoning)
13
arcee-ai/trinity-large-thinking:low PASS 100% 158 in → 1,174 out (1,172 reasoning)
13
arcee-ai/trinity-large-thinking:medium PASS 100% 158 in → 2,602 out (2,604 reasoning)
13
arcee-ai/trinity-large-thinking:xhigh PASS 100% 158 in → 3,388 out (3,395 reasoning)
13
arcee-ai/trinity-mini:high PASS 100% 158 in → 1,026 out (999 reasoning)
13
arcee-ai/trinity-mini:high__json_schema PASS 100% 158 in → 578 out (532 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
arcee-ai/trinity-mini:low PASS 100% 158 in → 832 out (781 reasoning)
13
arcee-ai/trinity-mini:low__json_schema PASS 100% 158 in → 939 out (864 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
arcee-ai/trinity-mini:medium__json_schema PASS 100% 158 in → 463 out (436 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
arcee-ai/trinity-mini:xhigh PASS 100% 158 in → 420 out (412 reasoning)
13
arcee-ai/trinity-mini:xhigh__json_schema PASS 100% 158 in → 798 out (722 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
deepseek/deepseek-v4-flash-0731:high PASS 100% 241 in → 2,488 out (2,451 reasoning)
13
deepseek/deepseek-v4-flash-0731:high__json_schema PASS 100% 156 in → 1,520 out (1,358 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
deepseek/deepseek-v4-flash-0731:low PASS 100% 156 in → 1,648 out (1,645 reasoning)
13
deepseek/deepseek-v4-flash-0731:low__json_schema PASS 100% 156 in → 2,859 out (2,655 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
deepseek/deepseek-v4-flash-0731:max PASS 100% 235 in → 4,376 out (4,052 reasoning)
13
deepseek/deepseek-v4-flash-0731:max__json_schema PASS 100% 235 in → 4,077 out (3,811 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
deepseek/deepseek-v4-flash-0731:medium PASS 100% 156 in → 1,193 out (1,165 reasoning)
13
deepseek/deepseek-v4-flash-0731:medium__json_schema PASS 100% 156 in → 1,433 out (1,312 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
deepseek/deepseek-v4-flash-0731:xhigh PASS 100% 235 in → 4,145 out (3,903 reasoning)
13
deepseek/deepseek-v4-flash-0731:xhigh__json_schema PASS 100% 156 in → 461 out (428 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
deepseek/deepseek-v4-flash:high PASS 100% 156 in → 1,760 out (1,757 reasoning)
13
deepseek/deepseek-v4-flash:low PASS 100% 156 in → 1,902 out (1,856 reasoning)
13
deepseek/deepseek-v4-flash:low__json_schema PASS 100% 156 in → 584 out (555 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
deepseek/deepseek-v4-flash:medium__json_schema PASS 100% 219 in → 2,117 out (2,130 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
deepseek/deepseek-v4-flash:xhigh PASS 100% 156 in → 4,386 out (4,385 reasoning)
13
deepseek/deepseek-v4-flash:xhigh__json_schema PASS 100% 235 in → 3,224 out (3,135 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
deepseek/deepseek-v4-pro:low PASS 100% 156 in → 547 out (544 reasoning)
13
deepseek/deepseek-v4-pro:medium PASS 100% 156 in → 413 out (410 reasoning)
13
google/gemini-3-flash-preview:high PASS 100% 176 in → 1,826 out (1,824 reasoning)
13
google/gemini-3-flash-preview:high__json_schema PASS 100% 231 in → 825 out (819 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3-flash-preview:low PASS 100% 176 in → 411 out (409 reasoning)
13
google/gemini-3-flash-preview:low__json_schema PASS 100% 177 in → 429 out (423 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3-flash-preview:medium PASS 100% 176 in → 497 out (495 reasoning)
13
google/gemini-3-flash-preview:medium__json_schema PASS 100% 177 in → 421 out (415 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3-flash-preview:xhigh PASS 100% 176 in → 917 out (915 reasoning)
13
google/gemini-3-flash-preview:xhigh__json_schema PASS 100% 231 in → 747 out (741 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.1-flash-lite-preview:high PASS 100% 177 in → 2,006 out (2,004 reasoning)
13
google/gemini-3.1-flash-lite-preview:high__json_schema PASS 100% 231 in → 2,145 out (2,138 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.1-flash-lite-preview:low PASS 100% 176 in → 713 out (711 reasoning)
13
google/gemini-3.1-flash-lite-preview:low__json_schema PASS 100% 177 in → 855 out (848 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.1-flash-lite-preview:medium PASS 100% 176 in → 356 out (354 reasoning)
13
google/gemini-3.1-flash-lite-preview:medium__json_schema PASS 100% 177 in → 696 out (685 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemini-3.1-flash-lite-preview:xhigh PASS 100% 176 in → 781 out (779 reasoning)
13
google/gemini-3.1-flash-lite-preview:xhigh__json_schema PASS 100% 177 in → 3,853 out (3,846 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.1-pro-preview:high PASS 100% 176 in → 1,078 out (1,076 reasoning)
13
google/gemini-3.1-pro-preview:high__json_schema PASS 100% 231 in → 504 out (498 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.1-pro-preview:low PASS 100% 176 in → 531 out (529 reasoning)
13
google/gemini-3.1-pro-preview:low__json_schema PASS 100% 231 in → 593 out (586 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.1-pro-preview:medium PASS 100% 176 in → 504 out (502 reasoning)
13
google/gemini-3.1-pro-preview:medium__json_schema PASS 100% 231 in → 621 out (614 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.1-pro-preview:xhigh PASS 100% 176 in → 698 out (696 reasoning)
13
google/gemini-3.1-pro-preview:xhigh__json_schema PASS 100% 177 in → 562 out (555 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.5-flash-lite:high PASS 100% 177 in → 1,853 out (1,851 reasoning)
13
google/gemini-3.5-flash-lite:high__json_schema PASS 100% 231 in → 1,113 out (1,107 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.5-flash-lite:low__json_schema PASS 100% 231 in → 11 out (0 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemini-3.5-flash-lite:max PASS 100% 177 in → 1,465 out (1,463 reasoning)
13
google/gemini-3.5-flash-lite:max__json_schema PASS 100% 177 in → 755 out (749 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.5-flash-lite:medium PASS 100% 176 in → 736 out (734 reasoning)
13
google/gemini-3.5-flash-lite:medium__json_schema PASS 100% 177 in → 580 out (573 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.5-flash-lite:xhigh PASS 100% 177 in → 852 out (850 reasoning)
13
google/gemini-3.5-flash-lite:xhigh__json_schema PASS 100% 177 in → 1,029 out (1,022 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.5-flash:high PASS 100% 176 in → 542 out (540 reasoning)
13
google/gemini-3.5-flash:high__json_schema PASS 100% 231 in → 679 out (673 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.5-flash:low PASS 100% 176 in → 423 out (421 reasoning)
13
google/gemini-3.5-flash:low__json_schema PASS 100% 231 in → 237 out (231 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.5-flash:medium PASS 100% 176 in → 612 out (610 reasoning)
13
google/gemini-3.5-flash:medium__json_schema PASS 100% 231 in → 413 out (407 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.5-flash:xhigh PASS 100% 176 in → 858 out (856 reasoning)
13
google/gemini-3.5-flash:xhigh__json_schema PASS 100% 231 in → 607 out (601 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.6-flash:high PASS 100% 177 in → 526 out (524 reasoning)
13
google/gemini-3.6-flash:high__json_schema PASS 100% 231 in → 982 out (975 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemini-3.6-flash:low PASS 100% 177 in → 204 out (202 reasoning)
13
google/gemini-3.6-flash:low__json_schema PASS 100% 231 in → 213 out (207 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.6-flash:max PASS 100% 176 in → 550 out (548 reasoning)
13
google/gemini-3.6-flash:max__json_schema PASS 100% 177 in → 1,233 out (1,227 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.6-flash:medium PASS 100% 177 in → 538 out (536 reasoning)
13
google/gemini-3.6-flash:medium__json_schema PASS 100% 177 in → 504 out (498 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
google/gemini-3.6-flash:xhigh PASS 100% 176 in → 895 out (893 reasoning)
13
google/gemini-3.6-flash:xhigh__json_schema PASS 100% 231 in → 706 out (699 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
google/gemma-4-26b-a4b-it:high PASS 100% 191 in → 1,947 out (1,365 reasoning)
13
google/gemma-4-26b-a4b-it:high__json_schema PASS 100% 191 in → 3,107 out (2,341 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-26b-a4b-it:low PASS 100% 192 in → 845 out (842 reasoning)
13
google/gemma-4-26b-a4b-it:low__json_schema PASS 100% 192 in → 9,215 out (6,750 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-26b-a4b-it:medium PASS 100% 192 in → 1,698 out (1,189 reasoning)
13
google/gemma-4-26b-a4b-it:medium__json_schema PASS 100% 191 in → 2,283 out (1,576 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-26b-a4b-it:none PASS 100% 189 in → 3 out (0 reasoning)
13
google/gemma-4-26b-a4b-it:none__json_schema PASS 100% 189 in → 12 out (0 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-26b-a4b-it:xhigh__json_schema PASS 100% 192 in → 3,215 out (2,269 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-31b-it:high PASS 100% 192 in → 497 out (1 reasoning)
13
google/gemma-4-31b-it:high__json_schema PASS 100% 192 in → 510 out (339 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-31b-it:low PASS 100% 192 in → 926 out (671 reasoning)
13
google/gemma-4-31b-it:low__json_schema PASS 100% 191 in → 790 out (529 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-31b-it:medium PASS 100% 195 in → 518 out (515 reasoning)
13
google/gemma-4-31b-it:medium__json_schema PASS 100% 191 in → 500 out (327 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
google/gemma-4-31b-it:none PASS 100% 189 in → 3 out (0 reasoning)
13
google/gemma-4-31b-it:xhigh PASS 100% 191 in → 487 out (329 reasoning)
13
google/gemma-4-31b-it:xhigh__json_schema PASS 100% 192 in → 467 out (320 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
minimax/minimax-m2.5:high__json_schema PASS 100% 187 in → 1,872 out (1,889 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
minimax/minimax-m2.5:low PASS 100% 187 in → 3,080 out (3,274 reasoning)
13
minimax/minimax-m2.5:low__json_schema PASS 100% 187 in → 1,662 out (1,755 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
minimax/minimax-m2.5:medium PASS 100% 187 in → 1,249 out (1,247 reasoning)
13
minimax/minimax-m2.5:medium__json_schema PASS 100% 187 in → 1,408 out (1,424 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
minimax/minimax-m2.5:xhigh__json_schema PASS 100% 187 in → 2,261 out (2,353 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
minimax/minimax-m2.7:high PASS 100% 171 in → 474 out (465 reasoning)
13
minimax/minimax-m2.7:high__json_schema PASS 100% 317 in → 2,921 out (2,914 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
minimax/minimax-m2.7:low PASS 100% 192 in → 1,964 out (2,057 reasoning)
13
minimax/minimax-m2.7:medium PASS 100% 187 in → 2,325 out (2,321 reasoning)
13
minimax/minimax-m2.7:medium__json_schema PASS 100% 317 in → 717 out (709 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
minimax/minimax-m2.7:xhigh PASS 100% 187 in → 6,390 out (6,386 reasoning)
13
minimax/minimax-m2.7:xhigh__json_schema PASS 100% 317 in → 7,265 out (7,258 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
minimax/minimax-m3:high PASS 100% 325 in → 146 out (124 reasoning)
13
minimax/minimax-m3:low PASS 100% 273 in → 147 out (143 reasoning)
13
minimax/minimax-m3:medium PASS 100% 325 in → 167 out (149 reasoning)
13
minimax/minimax-m3:medium__json_schema PASS 100% 312 in → 8 out (0 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
minimax/minimax-m3:xhigh PASS 100% 322 in → 170 out (132 reasoning)
13
mistralai/mistral-medium-3-5:high PASS 100% 168 in → 4,709 out (4,409 reasoning)
13
mistralai/mistral-medium-3-5:high__json_schema PASS 100% 156 in → 3,141 out (2,777 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
mistralai/mistral-medium-3-5:low PASS 100% 168 in → 4,907 out (4,500 reasoning)
13
mistralai/mistral-medium-3-5:low__json_schema PASS 100% 156 in → 1,074 out (950 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
mistralai/mistral-medium-3-5:medium PASS 100% 168 in → 1,443 out (1,303 reasoning)
13
mistralai/mistral-medium-3-5:medium__json_schema PASS 100% 156 in → 2,072 out (1,825 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
mistralai/mistral-medium-3-5:xhigh PASS 100% 168 in → 3,911 out (3,610 reasoning)
13
mistralai/mistral-medium-3-5:xhigh__json_schema PASS 100% 156 in → 2,114 out (1,886 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
moonshotai/kimi-k2.6:high PASS 100% 156 in → 1,464 out (1,461 reasoning)
13
moonshotai/kimi-k2.6:high__json_schema PASS 100% 156 in → 2,220 out (2,211 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
moonshotai/kimi-k2.6:low__json_schema PASS 100% 155 in → 3,462 out (3,141 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
moonshotai/kimi-k2.6:medium PASS 100% 156 in → 12,407 out (12,404 reasoning)
13
moonshotai/kimi-k2.6:medium__json_schema PASS 100% 156 in → 8,319 out (8,304 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
moonshotai/kimi-k2.6:xhigh PASS 100% 155 in → 1,541 out (1,538 reasoning)
13
moonshotai/kimi-k2.6:xhigh__json_schema PASS 100% 336 in → 2,835 out (2,828 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
moonshotai/kimi-k2.7-code:high PASS 100% 155 in → 173 out (170 reasoning)
13
moonshotai/kimi-k2.7-code:high__json_schema PASS 100% 156 in → 314 out (306 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
moonshotai/kimi-k2.7-code:low PASS 100% 156 in → 931 out (1,012 reasoning)
13
moonshotai/kimi-k2.7-code:low__json_schema PASS 100% 156 in → 348 out (339 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
moonshotai/kimi-k2.7-code:medium PASS 100% 155 in → 425 out (422 reasoning)
13
moonshotai/kimi-k2.7-code:xhigh PASS 100% 156 in → 1,232 out (1,229 reasoning)
13
moonshotai/kimi-k3:high PASS 100% 233 in → 1,210 out (1,194 reasoning)
13
moonshotai/kimi-k3:high__json_schema PASS 100% 233 in → 183 out (167 reasoning)
13
moonshotai/kimi-k3:low PASS 100% 233 in → 978 out (962 reasoning)
13
moonshotai/kimi-k3:low__json_schema PASS 100% 233 in → 485 out (469 reasoning)
13
moonshotai/kimi-k3:max PASS 100% 233 in → 3,070 out (3,054 reasoning)
13
moonshotai/kimi-k3:max__json_schema PASS 100% 233 in → 2,055 out (2,039 reasoning)
13
moonshotai/kimi-k3:medium PASS 100% 233 in → 1,098 out (1,082 reasoning)
13
moonshotai/kimi-k3:medium__json_schema PASS 100% 233 in → 241 out (225 reasoning)
13
moonshotai/kimi-k3:xhigh PASS 100% 233 in → 1,557 out (1,541 reasoning)
13
moonshotai/kimi-k3:xhigh__json_schema PASS 100% 233 in → 1,358 out (1,342 reasoning)
13
nvidia/nemotron-3-nano-30b-a3b:high PASS 100% 169 in → 899 out (857 reasoning)
13
nvidia/nemotron-3-nano-30b-a3b:high__json_schema PASS 100% 169 in → 1,115 out (1,137 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
nvidia/nemotron-3-nano-30b-a3b:low PASS 100% 169 in → 744 out (700 reasoning)
13
nvidia/nemotron-3-nano-30b-a3b:low__json_schema PASS 100% 169 in → 881 out (904 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
nvidia/nemotron-3-nano-30b-a3b:medium PASS 100% 169 in → 423 out (410 reasoning)
13
nvidia/nemotron-3-nano-30b-a3b:medium__json_schema PASS 100% 169 in → 1,062 out (1,006 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13 }
nvidia/nemotron-3-nano-30b-a3b:xhigh__json_schema PASS 100% 169 in → 4,441 out (4,391 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
nvidia/nemotron-3-super-120b-a12b:high PASS 100% 169 in → 292 out (272 reasoning)
13
nvidia/nemotron-3-super-120b-a12b:high__json_schema PASS 100% 169 in → 498 out (468 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
nvidia/nemotron-3-super-120b-a12b:low PASS 100% 169 in → 326 out (305 reasoning)
13
nvidia/nemotron-3-super-120b-a12b:low__json_schema PASS 100% 169 in → 313 out (284 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
nvidia/nemotron-3-super-120b-a12b:medium PASS 100% 169 in → 343 out (320 reasoning)
13
nvidia/nemotron-3-super-120b-a12b:medium__json_schema PASS 100% 169 in → 305 out (276 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
nvidia/nemotron-3-super-120b-a12b:xhigh PASS 100% 169 in → 328 out (308 reasoning)
13
nvidia/nemotron-3-super-120b-a12b:xhigh__json_schema PASS 100% 169 in → 294 out (268 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
openai/gpt-5.4-mini:high PASS 100% 154 in → 275 out (268 reasoning)
13
openai/gpt-5.4-mini:high__json_schema PASS 100% 187 in → 504 out (489 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4-mini:low PASS 100% 154 in → 160 out (153 reasoning)
13
openai/gpt-5.4-mini:low__json_schema PASS 100% 187 in → 163 out (148 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4-mini:medium PASS 100% 154 in → 163 out (156 reasoning)
13
openai/gpt-5.4-mini:medium__json_schema PASS 100% 187 in → 176 out (161 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4-mini:xhigh PASS 100% 154 in → 336 out (329 reasoning)
13
openai/gpt-5.4-mini:xhigh__json_schema PASS 100% 187 in → 531 out (516 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4-nano:high PASS 100% 154 in → 161 out (154 reasoning)
13
openai/gpt-5.4-nano:high__json_schema PASS 100% 187 in → 765 out (750 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4-nano:low PASS 100% 154 in → 167 out (160 reasoning)
13
openai/gpt-5.4-nano:low__json_schema PASS 100% 187 in → 154 out (139 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4-nano:medium PASS 100% 154 in → 208 out (201 reasoning)
13
openai/gpt-5.4-nano:medium__json_schema PASS 100% 187 in → 186 out (171 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4-nano:xhigh PASS 100% 154 in → 739 out (732 reasoning)
13
openai/gpt-5.4-nano:xhigh__json_schema PASS 100% 187 in → 4,008 out (3,993 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4:high PASS 100% 154 in → 451 out (444 reasoning)
13
openai/gpt-5.4:high__json_schema PASS 100% 187 in → 531 out (516 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4:low PASS 100% 154 in → 174 out (167 reasoning)
13
openai/gpt-5.4:low__json_schema PASS 100% 187 in → 147 out (132 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4:medium PASS 100% 154 in → 147 out (140 reasoning)
13
openai/gpt-5.4:medium__json_schema PASS 100% 187 in → 252 out (237 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.4:xhigh PASS 100% 154 in → 952 out (945 reasoning)
13
openai/gpt-5.4:xhigh__json_schema PASS 100% 187 in → 862 out (847 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.5:high PASS 100% 154 in → 414 out (407 reasoning)
13
openai/gpt-5.5:high__json_schema PASS 100% 187 in → 531 out (516 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.5:low PASS 100% 154 in → 153 out (146 reasoning)
13
openai/gpt-5.5:low__json_schema PASS 100% 187 in → 202 out (187 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.5:medium PASS 100% 154 in → 152 out (145 reasoning)
13
openai/gpt-5.5:medium__json_schema PASS 100% 187 in → 242 out (227 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.5:none PASS 100% 154 in → 5 out (0 reasoning)
13
openai/gpt-5.5:none__json_schema PASS 100% 187 in → 13 out (0 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.5:xhigh PASS 100% 154 in → 523 out (516 reasoning)
13
openai/gpt-5.5:xhigh__json_schema PASS 100% 187 in → 531 out (516 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-luna:high PASS 100% 154 in → 405 out (398 reasoning)
13
openai/gpt-5.6-luna:high__json_schema PASS 100% 187 in → 146 out (131 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-luna:low PASS 100% 154 in → 255 out (248 reasoning)
13
openai/gpt-5.6-luna:low__json_schema PASS 100% 187 in → 121 out (106 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-luna:max PASS 100% 154 in → 205 out (198 reasoning)
13
openai/gpt-5.6-luna:max__json_schema PASS 100% 187 in → 792 out (777 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-luna:medium__json_schema PASS 100% 187 in → 686 out (671 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-luna:none__json_schema PASS 100% 187 in → 13 out (0 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-luna:xhigh PASS 100% 154 in → 149 out (142 reasoning)
13
openai/gpt-5.6-luna:xhigh__json_schema PASS 100% 187 in → 1,049 out (1,034 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-sol:high PASS 100% 154 in → 523 out (516 reasoning)
13
openai/gpt-5.6-sol:low PASS 100% 154 in → 200 out (193 reasoning)
13
openai/gpt-5.6-sol:low__json_schema PASS 100% 187 in → 180 out (165 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-sol:max PASS 100% 154 in → 1,291 out (1,284 reasoning)
13
openai/gpt-5.6-sol:medium PASS 100% 154 in → 140 out (133 reasoning)
13
openai/gpt-5.6-sol:medium__json_schema PASS 100% 187 in → 250 out (235 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-sol:xhigh PASS 100% 154 in → 383 out (376 reasoning)
13
openai/gpt-5.6-sol:xhigh__json_schema PASS 100% 187 in → 818 out (803 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-terra:high PASS 100% 154 in → 319 out (312 reasoning)
13
openai/gpt-5.6-terra:high__json_schema PASS 100% 187 in → 86 out (71 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-terra:low PASS 100% 154 in → 80 out (73 reasoning)
13
openai/gpt-5.6-terra:max PASS 100% 154 in → 614 out (607 reasoning)
13
openai/gpt-5.6-terra:max__json_schema PASS 100% 187 in → 236 out (221 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-terra:medium PASS 100% 154 in → 117 out (110 reasoning)
13
openai/gpt-5.6-terra:medium__json_schema PASS 100% 187 in → 75 out (60 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-5.6-terra:xhigh PASS 100% 154 in → 82 out (75 reasoning)
13
openai/gpt-5.6-terra:xhigh__json_schema PASS 100% 187 in → 96 out (81 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-oss-120b:high PASS 100% 217 in → 537 out (545 reasoning)
13
openai/gpt-oss-120b:high__json_schema PASS 100% 213 in → 481 out (473 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
openai/gpt-oss-120b:low PASS 100% 213 in → 140 out (121 reasoning)
13
openai/gpt-oss-120b:low__json_schema PASS 100% 202 in → 145 out (122 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-oss-120b:medium PASS 100% 213 in → 209 out (193 reasoning)
13
openai/gpt-oss-120b:xhigh PASS 100% 215 in → 760 out (775 reasoning)
13
openai/gpt-oss-120b:xhigh__json_schema PASS 100% 213 in → 423 out (411 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
openai/gpt-oss-20b:high PASS 100% 215 in → 9,472 out (9,732 reasoning)
13
openai/gpt-oss-20b:high__json_schema PASS 100% 217 in → 741 out (717 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
openai/gpt-oss-20b:low PASS 100% 213 in → 147 out (129 reasoning)
13
openai/gpt-oss-20b:low__json_schema PASS 100% 215 in → 159 out (131 reasoning)
13
JSON Schema Structured Output
(raw) { "count" : 13 }
openai/gpt-oss-20b:medium PASS 100% 215 in → 243 out (234 reasoning)
13
openai/gpt-oss-20b:medium__json_schema PASS 100% 313 in → 395 out (378 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
openai/gpt-oss-20b:xhigh PASS 100% 202 in → 1,177 out (1,247 reasoning)
13
openai/gpt-oss-20b:xhigh__json_schema PASS 100% 217 in → 16,772 out (17,210 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
poolside/laguna-m.1:high PASS 100% 173 in → 2,146 out (2,141 reasoning)
13
poolside/laguna-m.1:high__json_schema PASS 100% 173 in → 3,949 out (3,936 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
poolside/laguna-m.1:low PASS 100% 173 in → 1,432 out (1,427 reasoning)
13
poolside/laguna-m.1:low__json_schema PASS 100% 173 in → 4,860 out (4,847 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
poolside/laguna-m.1:medium PASS 100% 173 in → 4,788 out (4,783 reasoning)
13
poolside/laguna-m.1:medium__json_schema PASS 100% 173 in → 3,265 out (3,253 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
poolside/laguna-m.1:xhigh PASS 100% 173 in → 3,855 out (3,850 reasoning)
13
poolside/laguna-m.1:xhigh__json_schema PASS 100% 173 in → 4,914 out (4,900 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
poolside/laguna-xs-2.1:high PASS 100% 173 in → 2,756 out (2,753 reasoning)
13
poolside/laguna-xs-2.1:low PASS 100% 173 in → 4,495 out (4,492 reasoning)
13
poolside/laguna-xs-2.1:low__json_schema PASS 100% 173 in → 779 out (766 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
poolside/laguna-xs.2:high PASS 100% 210 in → 727 out (722 reasoning)
13
poolside/laguna-xs.2:low PASS 100% 210 in → 1,032 out (1,027 reasoning)
13
poolside/laguna-xs.2:low__json_schema PASS 100% 210 in → 522 out (511 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
poolside/laguna-xs.2:xhigh PASS 100% 210 in → 575 out (570 reasoning)
13
poolside/laguna-xs.2:xhigh__json_schema PASS 100% 210 in → 364 out (351 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-27b:high PASS 100% 171 in → 2,039 out (1 reasoning)
13
qwen/qwen3.6-27b:high__json_schema PASS 100% 171 in → 1,617 out (1,304 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-27b:low PASS 100% 171 in → 2,035 out (1,692 reasoning)
13
qwen/qwen3.6-27b:low__json_schema PASS 100% 171 in → 1,755 out (1,385 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-27b:medium PASS 100% 171 in → 2,742 out (2,299 reasoning)
13
qwen/qwen3.6-27b:medium__json_schema PASS 100% 171 in → 734 out (1 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-27b:xhigh PASS 100% 171 in → 1,390 out (1,125 reasoning)
13
qwen/qwen3.6-27b:xhigh__json_schema PASS 100% 171 in → 1,620 out (1,312 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-35b-a3b:high PASS 100% 171 in → 2,320 out (1,928 reasoning)
13
qwen/qwen3.6-35b-a3b:high__json_schema PASS 100% 171 in → 1,640 out (1,360 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-35b-a3b:low PASS 100% 171 in → 1,832 out (1,498 reasoning)
13
qwen/qwen3.6-35b-a3b:low__json_schema PASS 100% 171 in → 1,099 out (850 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-35b-a3b:medium PASS 100% 171 in → 1,728 out (1,722 reasoning)
13
qwen/qwen3.6-35b-a3b:medium__json_schema PASS 100% 171 in → 929 out (735 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-35b-a3b:xhigh PASS 100% 171 in → 2,245 out (2,238 reasoning)
13
qwen/qwen3.6-35b-a3b:xhigh__json_schema PASS 100% 171 in → 2,850 out (2,259 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
qwen/qwen3.6-flash:high PASS 100% 171 in → 2,097 out (2,090 reasoning)
13
qwen/qwen3.6-flash:low PASS 100% 171 in → 2,087 out (2,080 reasoning)
13
qwen/qwen3.6-flash:medium PASS 100% 171 in → 1,799 out (1,793 reasoning)
13
qwen/qwen3.6-flash:xhigh PASS 100% 171 in → 1,398 out (1,392 reasoning)
13
qwen/qwen3.7-flash:high PASS 100% 171 in → 1,838 out (1,831 reasoning)
13
qwen/qwen3.7-flash:low PASS 100% 171 in → 1,523 out (1,516 reasoning)
13
qwen/qwen3.7-flash:max PASS 100% 171 in → 1,581 out (1,574 reasoning)
13
qwen/qwen3.7-flash:medium PASS 100% 171 in → 1,885 out (1,878 reasoning)
13
qwen/qwen3.7-flash:xhigh PASS 100% 171 in → 1,687 out (1,681 reasoning)
13
qwen/qwen3.7-max:high PASS 100% 171 in → 557 out (550 reasoning)
13
qwen/qwen3.7-max:low PASS 100% 171 in → 851 out (844 reasoning)
13
qwen/qwen3.7-max:medium PASS 100% 171 in → 703 out (696 reasoning)
13
qwen/qwen3.7-max:xhigh PASS 100% 171 in → 902 out (896 reasoning)
13
qwen/qwen3.7-plus:high PASS 100% 171 in → 415 out (408 reasoning)
13
qwen/qwen3.7-plus:low PASS 100% 171 in → 382 out (375 reasoning)
13
qwen/qwen3.7-plus:medium PASS 100% 171 in → 806 out (799 reasoning)
13
qwen/qwen3.7-plus:xhigh PASS 100% 171 in → 360 out (353 reasoning)
13
tencent/hy3:high PASS 100% 162 in → 4,114 out (4,111 reasoning)
13
tencent/hy3:high__json_schema PASS 100% 162 in → 2,782 out (2,517 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
tencent/hy3:low PASS 100% 162 in → 957 out (954 reasoning)
13
tencent/hy3:low__json_schema PASS 100% 162 in → 1,414 out (1,217 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
tencent/hy3:medium PASS 100% 162 in → 843 out (840 reasoning)
13
tencent/hy3:medium__json_schema PASS 100% 162 in → 1,846 out (1,641 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
tencent/hy3:xhigh PASS 100% 162 in → 1,500 out (1,497 reasoning)
13
tencent/hy3:xhigh__json_schema PASS 100% 162 in → 8,597 out (7,941 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
thinkingmachines/inkling-small:high PASS 100% 163 in → 1,552 out (1,458 reasoning)
13
thinkingmachines/inkling-small:high__json_schema PASS 100% 163 in → 1,437 out (1,424 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
thinkingmachines/inkling-small:low PASS 100% 163 in → 136 out (129 reasoning)
13
thinkingmachines/inkling-small:low__json_schema PASS 100% 163 in → 141 out (128 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
thinkingmachines/inkling-small:max PASS 100% 163 in → 526 out (474 reasoning)
13
thinkingmachines/inkling-small:max__json_schema PASS 100% 163 in → 6,425 out (6,412 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
thinkingmachines/inkling-small:medium PASS 100% 163 in → 1,747 out (1,696 reasoning)
13
thinkingmachines/inkling-small:medium__json_schema PASS 100% 163 in → 150 out (136 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
thinkingmachines/inkling-small:xhigh PASS 100% 163 in → 2,157 out (2,071 reasoning)
13
thinkingmachines/inkling-small:xhigh__json_schema PASS 100% 163 in → 490 out (478 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
thinkingmachines/inkling:high PASS 100% 163 in → 284 out (258 reasoning)
13
thinkingmachines/inkling:low PASS 100% 163 in → 251 out (244 reasoning)
13
thinkingmachines/inkling:max PASS 100% 163 in → 1,944 out (1,937 reasoning)
13
thinkingmachines/inkling:max__json_schema PASS 100% 163 in → 294 out (280 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
thinkingmachines/inkling:medium PASS 100% 163 in → 329 out (314 reasoning)
13
thinkingmachines/inkling:xhigh PASS 100% 163 in → 796 out (747 reasoning)
13
thinkingmachines/inkling:xhigh__json_schema PASS 100% 163 in → 405 out (395 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
x-ai/grok-4.3:high PASS 100% 333 in → 1,544 out (1,543 reasoning)
13
x-ai/grok-4.3:high__json_schema PASS 100% 387 in → 1,079 out (1,074 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
x-ai/grok-4.3:low PASS 100% 339 in → 558 out (557 reasoning)
13
x-ai/grok-4.3:low__json_schema PASS 100% 393 in → 635 out (630 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
x-ai/grok-4.3:max PASS 100% 333 in → 1,858 out (1,857 reasoning)
13
x-ai/grok-4.3:max__json_schema PASS 100% 387 in → 670 out (665 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
x-ai/grok-4.3:medium__json_schema PASS 100% 393 in → 1,377 out (1,372 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
x-ai/grok-4.3:xhigh PASS 100% 333 in → 2,502 out (2,501 reasoning)
13
x-ai/grok-4.3:xhigh__json_schema PASS 100% 387 in → 1,204 out (1,199 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
x-ai/grok-4.5:high PASS 100% 363 in → 1,416 out (1,415 reasoning)
13
x-ai/grok-4.5:high__json_schema PASS 100% 427 in → 2,411 out (2,405 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
x-ai/grok-4.5:low PASS 100% 363 in → 1,025 out (1,024 reasoning)
13
x-ai/grok-4.5:low__json_schema PASS 100% 427 in → 659 out (653 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
x-ai/grok-4.5:max PASS 100% 363 in → 1,780 out (1,779 reasoning)
13
x-ai/grok-4.5:max__json_schema PASS 100% 427 in → 1,472 out (1,466 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
x-ai/grok-4.5:medium PASS 100% 363 in → 1,909 out (1,908 reasoning)
13
x-ai/grok-4.5:medium__json_schema PASS 100% 427 in → 1,479 out (1,473 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
x-ai/grok-4.5:xhigh PASS 100% 363 in → 1,887 out (1,886 reasoning)
13
x-ai/grok-4.5:xhigh__json_schema PASS 100% 427 in → 2,724 out (2,718 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
z-ai/glm-4.7-flash:high PASS 100% 154 in → 1,106 out (923 reasoning)
13
z-ai/glm-4.7-flash:low PASS 100% 154 in → 3,896 out (3,381 reasoning)
13
z-ai/glm-4.7-flash:medium PASS 100% 154 in → 864 out (707 reasoning)
13
z-ai/glm-4.7-flash:xhigh PASS 100% 154 in → 1,176 out (951 reasoning)
13
z-ai/glm-5.2:high PASS 100% 161 in → 498 out (419 reasoning)
13
z-ai/glm-5.2:low PASS 100% 161 in → 1,391 out (1,161 reasoning)
13
z-ai/glm-5.2:low__json_schema PASS 100% 161 in → 875 out (765 reasoning)
13
JSON Schema Structured Output
(raw) { "count": 13 }
z-ai/glm-5.2:medium PASS 100% 161 in → 331 out (0 reasoning)
13
z-ai/glm-5.2:medium__json_schema PASS 100% 334 in → 151 out (144 reasoning)
13
JSON Schema Structured Output
(raw) {"count":13}
z-ai/glm-5.2:xhigh PASS 100% 161 in → 1,661 out (1,658 reasoning)
13
z-ai/glm-5.2:xhigh__json_schema PASS 100% 161 in → 154 out (146 reasoning)
13
JSON Schema Structured Output
(raw) {"count": 13}
anthropic/claude-fable-5:high FAIL 0% 221 in → 3 out (0 reasoning)
(empty output)
Failure: Expected numeric answer '13', got ''
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
anthropic/claude-fable-5:low FAIL 0% 221 in → 10 out (0 reasoning)
(empty output)
Failure: Expected numeric answer '13', got ''
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
anthropic/claude-fable-5:max FAIL 0% 221 in → 10 out (0 reasoning)
(empty output)
Failure: Expected numeric answer '13', got ''
anthropic/claude-fable-5:medium FAIL 0% 221 in → 3 out (0 reasoning)
(empty output)
Failure: Expected numeric answer '13', got ''
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
anthropic/claude-fable-5:xhigh FAIL 0% 221 in → 4 out (0 reasoning)
(empty output)
Failure: Expected numeric answer '13', got ''
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
anthropic/claude-haiku-4.5:low FAIL 0% 215 in → 415 out (324 reasoning)
12
Failure: Expected numeric answer '13', got '12'
anthropic/claude-haiku-4.5:none FAIL 0% 186 in → 5 out (0 reasoning)
14
Failure: Expected numeric answer '13', got '14'
anthropic/claude-haiku-4.5:none__json_schema FAIL 0% 347 in → 9 out (0 reasoning)
16
JSON Schema Structured Output
(raw) {"count": 16}
Failure: Expected numeric answer '13', got '16'
anthropic/claude-opus-4.6:high__json_schema FAIL 0% 348 in → 215 out (153 reasoning)
12
JSON Schema Structured Output
(raw) {"count": 12}
Failure: Expected numeric answer '13', got '12'
anthropic/claude-opus-4.6:low FAIL 0% 186 in → 25 out (0 reasoning)
longest section 1: 7 lines, section 2: 4 lines → **11**
Failure: Expected numeric answer '13', got 'longest section 1: 7 lines, section 2: 4 lines → **11**'
anthropic/claude-opus-4.6:low__json_schema FAIL 0% 348 in → 8 out (0 reasoning)
12
JSON Schema Structured Output
(raw) {"count":12}
Failure: Expected numeric answer '13', got '12'
anthropic/claude-opus-4.6:medium FAIL 0% 186 in → 64 out (0 reasoning)
longest continuous block 1: lines from "import sys" to "workers": 4" = 7 lines block 2: lines from "def start_server():" to the print line = 4 lines Total = 7 + 4 = **11**
Failure: Expected numeric answer '13', got 'longest continuous block 1: lines from "import sys" to "workers": 4" = 7 lines\nblock 2: lines from "def start_server():" to the print line = 4 lines\n\nTotal = 7 + 4 = **11**'
anthropic/claude-opus-4.6:medium__json_schema FAIL 0% 348 in → 9 out (0 reasoning)
12
JSON Schema Structured Output
(raw) {"count":12}
Failure: Expected numeric answer '13', got '12'
anthropic/claude-opus-4.6:none FAIL 0% 186 in → 5 out (0 reasoning)
12
Failure: Expected numeric answer '13', got '12'
anthropic/claude-opus-4.6:none__json_schema FAIL 0% 348 in → 16 out (0 reasoning)
12
JSON Schema Structured Output
(raw) {"count": 12}
Failure: Expected numeric answer '13', got '12'
anthropic/claude-opus-4.6:xhigh__json_schema FAIL 0% 348 in → 559 out (314 reasoning)
12
JSON Schema Structured Output
(raw) {"count": 12}
Failure: Expected numeric answer '13', got '12'
anthropic/claude-opus-4.7:high FAIL 0% 226 in → 6 out (0 reasoning)
14
Failure: Expected numeric answer '13', got '14'
anthropic/claude-opus-4.7:medium FAIL 0% 226 in → 6 out (0 reasoning)
12
Failure: Expected numeric answer '13', got '12'
anthropic/claude-opus-4.8:none FAIL 0% 221 in → 390 out (0 reasoning)
Let me count the lines in the output. ``` server.py:import sys (match line 1) server.py:import os (match line 2) server.py- (context) server.py- CONFIG = { (context) server.py- "host":... (context) server.py: "port": 8080, (match) server.py- "debug"... (context) server.py- "workers"... (context) -- (separator) server.py-def start_server(): (context) server.py- host =... (context) server.py: port =... (match) server.py: print(f"... (match) ``` Counting all lines including the separator: 1. server.py:import sys 2. server.py:import os 3. server.py- 4. server.py- CONFIG = { 5. server.py- "host": "localhost", 6. server.py: "port": 8080, 7. server.py- "debug": True, 8. server.py- "workers": 4, 9. -- 10. server.py-def start_server(): 11. server.py- host = CONFIG["host"] 12. server.py: port = CONFIG["port"] 13. server.py: print(f"Starting on {host}:{port}") 13
Failure: Expected numeric answer '13', got 'Let me count the lines in the output.\n\n```\nserver.py:import sys (match line 1)\nserver.py:import os (match line 2)\nserver.py- (context)\nserver.py- CONFIG = { (context)\nserver.py- "host":... (context)\nserver.py: "port": 8080, (match)\nserver.py- "debug"... (context)\nserver.py- "workers"... (context)\n-- (separator)\nserver.py-def start_server(): (context)\nserver.py- host =... (context)\nserver.py: port =... (match)\nserver.py: print(f"... (match)\n```\n\nCounting all lines including the separator:\n\n1. server.py:import sys\n2. server.py:import os\n3. server.py-\n4. server.py- CONFIG = {\n5. server.py- "host": "localhost",\n6. server.py: "port": 8080,\n7. server.py- "debug": True,\n8. server.py- "workers": 4,\n9. --\n10. server.py-def start_server():\n11. server.py- host = CONFIG["host"]\n12. server.py: port = CONFIG["port"]\n13. server.py: print(f"Starting on {host}:{port}")\n\n13'
anthropic/claude-opus-4.8:none__json_schema FAIL 0% 433 in → 8 out (0 reasoning)
14
JSON Schema Structured Output
(raw) {"count": 14}
Failure: Expected numeric answer '13', got '14'
anthropic/claude-sonnet-4.6:low__json_schema FAIL 0% 348 in → 8 out (0 reasoning)
14
JSON Schema Structured Output
(raw) {"count":14}
Failure: Expected numeric answer '13', got '14'
anthropic/claude-sonnet-4.6:none FAIL 0% 186 in → 214 out (0 reasoning)
I need to count all lines in the output, including context lines, match lines, and separators. Let me count each line: 1. `server.py:import sys` 2. `server.py:import os` 3. `server.py-` 4. `server.py-CONFIG = {` 5. `server.py- "host": "localhost",` 6. `server.py: "port": 8080,` 7. `server.py- "debug": True,` 8. `server.py- "workers": 4,` 9. `--` 10. `server.py-def start_server():` 11. `server.py- host = CONFIG["host"]` 12. `server.py: port = CONFIG["port"]` 13. `server.py: print(f"Starting on {host}:{port}")` 13
Failure: Expected numeric answer '13', got 'I need to count all lines in the output, including context lines, match lines, and separators.\n\nLet me count each line:\n\n1. `server.py:import sys`\n2. `server.py:import os`\n3. `server.py-`\n4. `server.py-CONFIG = {`\n5. `server.py- "host": "localhost",`\n6. `server.py: "port": 8080,`\n7. `server.py- "debug": True,`\n8. `server.py- "workers": 4,`\n9. `--`\n10. `server.py-def start_server():`\n11. `server.py- host = CONFIG["host"]`\n12. `server.py: port = CONFIG["port"]`\n13. `server.py: print(f"Starting on {host}:{port}")`\n\n13'
anthropic/claude-sonnet-4.6:none__json_schema FAIL 0% 348 in → 8 out (0 reasoning)
14
JSON Schema Structured Output
(raw) {"count":14}
Failure: Expected numeric answer '13', got '14'
anthropic/claude-sonnet-5:low FAIL 0% 221 in → 29 out (33 reasoning)
10
Failure: Expected numeric answer '13', got '10'
anthropic/claude-sonnet-5:low__json_schema FAIL 0% 433 in → 8 out (0 reasoning)
10
JSON Schema Structured Output
(raw) {"count":10}
Failure: Expected numeric answer '13', got '10'
anthropic/claude-sonnet-5:medium__json_schema FAIL 0% 433 in → 9 out (0 reasoning)
11
JSON Schema Structured Output
(raw) {"count": 11}
Failure: Expected numeric answer '13', got '11'
anthropic/claude-sonnet-5:none__json_schema FAIL 0% 433 in → 8 out (0 reasoning)
10
JSON Schema Structured Output
(raw) {"count": 10}
Failure: Expected numeric answer '13', got '10'
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
arcee-ai/trinity-mini:medium FAIL 0% 158 in → 990 out (984 reasoning)
11
Failure: Expected numeric answer '13', got '11'
deepseek/deepseek-v4-flash-0731:none FAIL 0% 156 in → 1 out (0 reasoning)
24
Failure: Expected numeric answer '13', got '24'
deepseek/deepseek-v4-flash-0731:none__json_schema FAIL 0% 156 in → 9 out (0 reasoning)
11
JSON Schema Structured Output
(raw) { "count": 11 }
Failure: Expected numeric answer '13', got '11'
Invalid structured output. Output: 13
JSON Schema Structured Output
Structured Output Error
Structured output schema validation failed: $ must be of type object
Failure: Structured output schema validation failed: $ must be of type object
deepseek/deepseek-v4-flash:medium FAIL 0% 156 in → 4,043 out (4,040 reasoning)
12
Failure: Expected numeric answer '13', got '12'
deepseek/deepseek-v4-flash:none FAIL 0% 156 in → 2 out (0 reasoning)
8
Failure: Expected numeric answer '13', got '8'
deepseek/deepseek-v4-flash:none__json_schema FAIL 0% 156 in → 9 out (0 reasoning)
14
JSON Schema Structured Output
(raw) { "count": 14 }
Failure: Expected numeric answer '13', got '14'
deepseek/deepseek-v4-pro:high FAIL 0% 156 in → 2 out (0 reasoning)
15
Failure: Expected numeric answer '13', got '15'
Invalid structured output. Output: 13
JSON Schema Structured Output
Structured Output Error
Structured output schema validation failed: $ must be of type object
Failure: Structured output schema validation failed: $ must be of type object
deepseek/deepseek-v4-pro:low__json_schema FAIL 0% 158 in → 2,922 out (2,911 reasoning)
12
JSON Schema Structured Output
(raw) { "count": 12 }
Failure: Expected numeric answer '13', got '12'
deepseek/deepseek-v4-pro:medium__json_schema FAIL 0% 158 in → 446 out (438 reasoning)
14
JSON Schema Structured Output
(raw) {"count": 14}
Failure: Expected numeric answer '13', got '14'
deepseek/deepseek-v4-pro:none FAIL 0% 156 in → 2 out (0 reasoning)
24
Failure: Expected numeric answer '13', got '24'
deepseek/deepseek-v4-pro:none__json_schema FAIL 0% 343 in → 7 out (0 reasoning)
11
JSON Schema Structured Output
(raw) {"count": 11}
Failure: Expected numeric answer '13', got '11'
deepseek/deepseek-v4-pro:xhigh FAIL 0% 156 in → 2 out (0 reasoning)
14
Failure: Expected numeric answer '13', got '14'
deepseek/deepseek-v4-pro:xhigh__json_schema FAIL 0% 156 in → 11 out (0 reasoning)
12
JSON Schema Structured Output
(raw) { "count": 12 }
Failure: Expected numeric answer '13', got '12'
google/gemini-3.5-flash-lite:low FAIL 0% 177 in → 2 out (0 reasoning)
16
Failure: Expected numeric answer '13', got '16'
google/gemma-4-26b-a4b-it:xhigh FAIL 0% 192 in → 3,354 out (2,350 reasoning)
(empty output)
Failure: Expected numeric answer '13', got ''
google/gemma-4-31b-it:none__json_schema FAIL 0% 189 in → 12 out (0 reasoning)
12
JSON Schema Structured Output
(raw) { "count": 12 }
Failure: Expected numeric answer '13', got '12'
ibm-granite/granite-4.1-8b FAIL 0% 184 in → 2 out
18
Failure: Expected numeric answer '13', got '18'
14
JSON Schema Structured Output
(raw) { "count": 14 }
Failure: Expected numeric answer '13', got '14'
inclusionai/ling-2.6-flash FAIL 0% 182 in → 3 out
11
Failure: Expected numeric answer '13', got '11'
6
JSON Schema Structured Output
(raw) {"count":6}
Failure: Expected numeric answer '13', got '6'
liquid/lfm-2-24b-a2b FAIL 0% 165 in → 2 out
7
Failure: Expected numeric answer '13', got '7'
Invalid structured output. Output: 7
JSON Schema Structured Output
Structured Output Error
Structured output schema validation failed: $ must be of type object
Failure: Structured output schema validation failed: $ must be of type object
minimax/minimax-m2.5:high FAIL 0% 216 in → 5,627 out (5,624 reasoning)
14
Failure: Expected numeric answer '13', got '14'
(empty output)
Failure: Expecting value: line 749 column 1 (char 4114)
minimax/minimax-m2.7:low__json_schema FAIL 0% 187 in → 8 out (7 reasoning)
14
JSON Schema Structured Output
(raw) {"count": 14}
Failure: Expected numeric answer '13', got '14'
minimax/minimax-m3:high__json_schema FAIL 0% 273 in → 9 out (8 reasoning)
11
JSON Schema Structured Output
(raw) { "count": 11}
Failure: Expected numeric answer '13', got '11'
minimax/minimax-m3:low__json_schema FAIL 0% 312 in → 7 out (0 reasoning)
17
JSON Schema Structured Output
(raw) {"count": 17}
Failure: Expected numeric answer '13', got '17'
minimax/minimax-m3:xhigh__json_schema FAIL 0% 273 in → 8 out (7 reasoning)
14
JSON Schema Structured Output
(raw) { "count": 14 }
Failure: Expected numeric answer '13', got '14'
mistralai/devstral-2512 FAIL 0% 156 in → 2 out
6
Failure: Expected numeric answer '13', got '6'
12
JSON Schema Structured Output
(raw) {"count": 12}
Failure: Expected numeric answer '13', got '12'
mistralai/mistral-medium-3-5:none FAIL 0% 168 in → 2 out (0 reasoning)
6
Failure: Expected numeric answer '13', got '6'
mistralai/mistral-medium-3-5:none__json_schema FAIL 0% 156 in → 8 out (0 reasoning)
11
JSON Schema Structured Output
(raw) {"count": 11}
Failure: Expected numeric answer '13', got '11'
moonshotai/kimi-k2.6:low FAIL 0% 156 in → 10,207 out (10,204 reasoning)
12
Failure: Expected numeric answer '13', got '12'
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
nvidia/nemotron-3-nano-30b-a3b:none FAIL 0% 169 in → 2 out (0 reasoning)
8
Failure: Expected numeric answer '13', got '8'
nvidia/nemotron-3-nano-30b-a3b:none__json_schema FAIL 0% 169 in → 8 out (0 reasoning)
9
JSON Schema Structured Output
(raw) { "count": 9 }
Failure: Expected numeric answer '13', got '9'
nvidia/nemotron-3-nano-30b-a3b:xhigh FAIL 0% 169 in → 13,013 out (12,509 reasoning)
8
Failure: Expected numeric answer '13', got '8'
nvidia/nemotron-3-super-120b-a12b:none FAIL 0% 169 in → 3 out (0 reasoning)
19
Failure: Expected numeric answer '13', got '19'
nvidia/nemotron-3-super-120b-a12b:none__json_schema FAIL 0% 169 in → 11 out (0 reasoning)
11
JSON Schema Structured Output
(raw) { "count": 11 }
Failure: Expected numeric answer '13', got '11'
openai/gpt-5.4-mini:none FAIL 0% 154 in → 11 out (0 reasoning)
12
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.4-mini:none__json_schema FAIL 0% 187 in → 19 out (0 reasoning)
10
JSON Schema Structured Output
(raw) {"count":10}
Failure: Expected numeric answer '13', got '10'
openai/gpt-5.4-nano:none FAIL 0% 154 in → 5 out (0 reasoning)
9
Failure: Expected numeric answer '13', got '9'
openai/gpt-5.4-nano:none__json_schema FAIL 0% 187 in → 13 out (0 reasoning)
16
JSON Schema Structured Output
(raw) {"count":16}
Failure: Expected numeric answer '13', got '16'
openai/gpt-5.4:none FAIL 0% 154 in → 5 out (0 reasoning)
12
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.4:none__json_schema FAIL 0% 187 in → 13 out (0 reasoning)
12
JSON Schema Structured Output
(raw) {"count":12}
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.6-luna:medium FAIL 0% 154 in → 93 out (86 reasoning)
12
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.6-luna:none FAIL 0% 154 in → 5 out (0 reasoning)
12
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.6-sol:high__json_schema FAIL 0% 187 in → 531 out (516 reasoning)
12
JSON Schema Structured Output
(raw) {"count":12}
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.6-sol:max__json_schema FAIL 0% 187 in → 1,421 out (1,406 reasoning)
12
JSON Schema Structured Output
(raw) {"count":12}
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.6-sol:none FAIL 0% 154 in → 5 out (0 reasoning)
10
Failure: Expected numeric answer '13', got '10'
openai/gpt-5.6-sol:none__json_schema FAIL 0% 187 in → 13 out (0 reasoning)
11
JSON Schema Structured Output
(raw) {"count":11}
Failure: Expected numeric answer '13', got '11'
openai/gpt-5.6-terra:low__json_schema FAIL 0% 187 in → 68 out (53 reasoning)
11
JSON Schema Structured Output
(raw) {"count":11}
Failure: Expected numeric answer '13', got '11'
openai/gpt-5.6-terra:none FAIL 0% 154 in → 5 out (0 reasoning)
12
Failure: Expected numeric answer '13', got '12'
openai/gpt-5.6-terra:none__json_schema FAIL 0% 187 in → 13 out (0 reasoning)
12
JSON Schema Structured Output
(raw) {"count":12}
Failure: Expected numeric answer '13', got '12'
openai/gpt-oss-120b:medium__json_schema FAIL 0% 215 in → 9 out (0 reasoning)
0
JSON Schema Structured Output
(raw) {"count": 0}
Failure: Expected numeric answer '13', got '0'
poolside/laguna-m.1:none FAIL 0% 173 in → 4 out (0 reasoning)
10
Failure: Expected numeric answer '13', got '10'
poolside/laguna-m.1:none__json_schema FAIL 0% 173 in → 8 out (0 reasoning)
10
JSON Schema Structured Output
(raw) {"count": 10}
Failure: Expected numeric answer '13', got '10'
poolside/laguna-xs-2.1:high__json_schema FAIL 0% 173 in → 13 out (0 reasoning)
18
JSON Schema Structured Output
(raw) { "count": 18 }
Failure: Expected numeric answer '13', got '18'
poolside/laguna-xs-2.1:medium FAIL 0% 173 in → 4 out (0 reasoning)
14
Failure: Expected numeric answer '13', got '14'
poolside/laguna-xs-2.1:medium__json_schema FAIL 0% 173 in → 13 out (0 reasoning)
14
JSON Schema Structured Output
(raw) { "count": 14 }
Failure: Expected numeric answer '13', got '14'
poolside/laguna-xs-2.1:none FAIL 0% 173 in → 2,398 out (0 reasoning)
18 --- I need to count all the lines in the git grep output, including the context lines and the matching lines. Let me break down what I see: First match block: 1. server.py:import sys 2. server.py:import os 3. server.py- 4. server.py-CONFIG = { 5. server.py- "host": "localhost", 6. server.py: "port": 8080, (this is the matching line) 7. server.py- "debug": True, 8. server.py- "workers": 4, Second match block: 9. server.py-def start_server(): 10. server.py- host = CONFIG["host"] 11. server.py: port = CONFIG["port"] (this is the matching line) 12. server.py- print(f"Starting on {host}:{port}") I count 12 lines total. The output shows 2 lines of context before and after each match, but I need to count all lines that appear in the output, not just the context. Actually, let me recount more carefully by looking at each line in the output: Line 1: server.py:import sys Line 2: server.py:import os Line 3: server.py- Line 4: server.py-CONFIG = { Line 5: server.py- "host": "localhost", Line 6: server.py: "port": 8080, Line 7: server.py- "debug": True, Line 8: server.py- "workers": 4, Line 9: -- Line 10: server.py-def start_server(): Line 11: server.py- host = CONFIG["host"] Line 12: server.py: port = CONFIG["port"] Line 13: server.py- print(f"Starting on {host}:{port}") That's 13 lines. But wait, the separator line "--" is not actually part of the output content, it's just a visual separator in the problem description. So I should count 12 lines. Hmm, let me look at this differently. The grep -C 2 flag shows 2 lines of context before and after each match. For the first match at line 6 ("port": 8080,): - 2 lines before: lines 4-5 (CONFIG = { and "host": "localhost",) - 1 line after: line 7 ("debug": True,) Wait, that's only 1 line after if we're at line 6. Let me reconsider. Actually, I think I'm overcomplicating this. I should just count all the lines that appear in the output. Looking at the output again: ``` server.py:import sys server.py:import os server.py- server.py-CONFIG = { server.py- "host": "localhost", server.py: "port": 8080, server.py- "debug": True, server.py- "workers": 4, -- server.py-def start_server(): server.py- host = CONFIG["host"] server.py: port = CONFIG["port"] server.py- print(f"Starting on {host}:{port}") ``` Lines 1-8: First match block (8 lines) Line 9: Separator "--" (1 line) Lines 10-13: Second match block (4 lines) Total: 13 lines But the separator might not count as part of the actual output. Let me check what git grep -C 2 actually outputs. The "--" is typically shown to separate different match blocks, but it's not part of the actual file content being searched. So the actual lines would be: - 8 lines from first match block - 4 lines from second match block Total: 12 lines I'll go with 12. Wait, I need to be more careful. The separator "--" is not part of the git grep output itself - it's added by the tool to separate match blocks, but in terms of counting lines in the output, I should include it if it's visually part of what's shown. Actually, looking at real git grep output, the "--" separator is indeed part of the output when there are multiple match blocks, but it's a separator, not a line of content. However, since the question asks for "total lines (including context) appear in the output," I should count all visible lines. Let me count again: 1. server.py:import sys 2. server.py:import os 3. server.py- 4. server.py-CONFIG = { 5. server.py- "host": "localhost", 6. server.py: "port": 8080, 7. server.py- "debug": True, 8. server.py- "workers": 4, 9. -- 10. server.py-def start_server(): 11. server.py- host = CONFIG["host"] 12. server.py: port = CONFIG["port"] 13. server.py- print(f"Starting on {host}:{port}") 13 lines total. Hmm, but I'm second-guessing myself. Let me think about what git grep -C 2 actually produces. The -C 2 flag shows 2 lines of context before and after each match. So for each matching line, there should be 5 lines total (2 before + 1 match + 2 after). First match: "port": 8080, With 2 lines of context before and 2 lines after, that would be 5 lines. But I see 8 lines in the first block (lines 3-10 in my count above, but that includes the separator). Wait, I'm confusing myself. Let me start over and count the lines in the first block only: server.py:import sys server.py:import os server.py- server.py-CONFIG = { server.py- "host": "localhost", server.py: "port": 8080, server.py- "debug": True, server.py- "workers": 4, That's 8 lines in the first block. For the second block: server.py-def start_server(): server.py- host = CONFIG["host"] server.py: port = CONFIG["port"] server.py- print(f"Starting on {host}:{port}") That's 4 lines in the second block. Plus the separator "--" = 1 line. Total: 8 + 1 + 4 = 13 lines. But I'm not sure if the separator should be counted. Let me think about this from the perspective of what git grep actually outputs. In git grep, when you use -C (or --context), it shows context lines around each match. The "--" separator is used to separate different match blocks, making it clear where one match ends and another begins. It's part of the output formatting. So I'll count it: 13 lines. Actually, I realize I need to be more precise. Let me look at the exact output format again: ``` server.py:import sys server.py:import os server.py- server.py-CONFIG = { server.py- "host": "localhost", server.py: "port": 8080, server.py- "debug": True, server.py- "workers": 4, -- server.py-def start_server(): server.py- host = CONFIG["host"] server.py: port = CONFIG["port"] server.py- print(f"Starting on {host}:{port}") ``` Counting all lines including the separator: 1. server.py:import sys 2. server.py:import os 3. server.py- 4. server.py-CONFIG = { 5. server.py- "host": "localhost", 6. server.py: "port": 8080, 7. server.py- "debug": True, 8. server.py- "workers": 4, 9. -- 10. server.py-def start_server(): 11. server.py- host = CONFIG["host"] 12. server.py: port = CONFIG["port"] 13. server.py- print(f"Starting on {host}:{port}") 13 lines total. I'm confident the answer is 13. Wait, I should double-check the context. The -C 2 flag should show 2 lines of context before and after each match. For the first match at line 6 ("port": 8080,): - 2 lines before: lines 4-5 (CONFIG = { and "host": "localhost",) - Match: line 6 - 2 lines after: lines 7-8 ("debug": True, and "workers": 4,) That's 5 lines total for the first match, but I see 8 lines in the first block. Let me recount: server.py:import sys (line 1) server.py:import os (line 2) server.py- (line 3) server.py-CONFIG = { (line 4) server.py- "host": "localhost", (line 5) server.py: "port": 8080, (line 6 - match) server.py- "debug": True, (line 7) server.py- "workers": 4, (line 8) So there are 8 lines in the first block, which means 3 lines of context before the match and 2 lines after. That's more than -C 2 would typically show. Hmm, maybe the first block is showing context from a different match? Or maybe the output is showing all lines around all matches, not just the specific ones? Actually, I think I'm overcomplicating this. The question is simply asking how many total lines appear in the output, not analyzing the context. So I should just count all visible lines. Let me count once more: 1. server.py:import sys 2. server.py:import os 3. server.py- 4. server.py-CONFIG = { 5. server.py- "host": "localhost", 6. server.py: "port": 8080, 7. server.py- "debug": True, 8. server.py- "workers": 4, 9. -- 10. server.py-def start_server(): 11. server.py- host = CONFIG["host"] 12. server.py: port = CONFIG["port"] 13. server.py- print(f"Starting on {host}:{port}") 13 lines total. I'm confident the answer is 13.</think>13
Failure: Expected numeric answer '13', got '18\n---\n\nI need to count all the lines in the git grep output, including the context lines and the matching lines. Let me break down what I see:\n\nFirst match block:\n1. server.py:import sys\n2. server.py:import os\n3. server.py-\n4. server.py-CONFIG = {\n5. server.py- "host": "localhost",\n6. server.py: "port": 8080, (this is the matching line)\n7. server.py- "debug": True,\n8. server.py- "workers": 4,\n\nSecond match block:\n9. server.py-def start_server():\n10. server.py- host = CONFIG["host"]\n11. server.py: port = CONFIG["port"] (this is the matching line)\n12. server.py- print(f"Starting on {host}:{port}")\n\nI count 12 lines total. The output shows 2 lines of context before and after each match, but I need to count all lines that appear in the output, not just the context.\n\nActually, let me recount more carefully by looking at each line in the output:\n\nLine 1: server.py:import sys\nLine 2: server.py:import os\nLine 3: server.py-\nLine 4: server.py-CONFIG = {\nLine 5: server.py- "host": "localhost",\nLine 6: server.py: "port": 8080,\nLine 7: server.py- "debug": True,\nLine 8: server.py- "workers": 4,\nLine 9: --\nLine 10: server.py-def start_server():\nLine 11: server.py- host = CONFIG["host"]\nLine 12: server.py: port = CONFIG["port"]\nLine 13: server.py- print(f"Starting on {host}:{port}")\n\nThat\'s 13 lines. But wait, the separator line "--" is not actually part of the output content, it\'s just a visual separator in the problem description. So I should count 12 lines.\n\nHmm, let me look at this differently. The grep -C 2 flag shows 2 lines of context before and after each match. \n\nFor the first match at line 6 ("port": 8080,):\n- 2 lines before: lines 4-5 (CONFIG = { and "host": "localhost",)\n- 1 line after: line 7 ("debug": True,)\nWait, that\'s only 1 line after if we\'re at line 6. Let me reconsider.\n\nActually, I think I\'m overcomplicating this. I should just count all the lines that appear in the output. Looking at the output again:\n\n```\nserver.py:import sys\nserver.py:import os\nserver.py-\nserver.py-CONFIG = {\nserver.py- "host": "localhost",\nserver.py: "port": 8080,\nserver.py- "debug": True,\nserver.py- "workers": 4,\n--\nserver.py-def start_server():\nserver.py- host = CONFIG["host"]\nserver.py: port = CONFIG["port"]\nserver.py- print(f"Starting on {host}:{port}")\n```\n\nLines 1-8: First match block (8 lines)\nLine 9: Separator "--" (1 line)\nLines 10-13: Second match block (4 lines)\n\nTotal: 13 lines\n\nBut the separator might not count as part of the actual output. Let me check what git grep -C 2 actually outputs. The "--" is typically shown to separate different match blocks, but it\'s not part of the actual file content being searched.\n\nSo the actual lines would be:\n- 8 lines from first match block\n- 4 lines from second match block\nTotal: 12 lines\n\nI\'ll go with 12.\n\nWait, I need to be more careful. The separator "--" is not part of the git grep output itself - it\'s added by the tool to separate match blocks, but in terms of counting lines in the output, I should include it if it\'s visually part of what\'s shown.\n\nActually, looking at real git grep output, the "--" separator is indeed part of the output when there are multiple match blocks, but it\'s a separator, not a line of content. However, since the question asks for "total lines (including context) appear in the output," I should count all visible lines.\n\nLet me count again:\n1. server.py:import sys\n2. server.py:import os\n3. server.py-\n4. server.py-CONFIG = {\n5. server.py- "host": "localhost",\n6. server.py: "port": 8080,\n7. server.py- "debug": True,\n8. server.py- "workers": 4,\n9. --\n10. server.py-def start_server():\n11. server.py- host = CONFIG["host"]\n12. server.py: port = CONFIG["port"]\n13. server.py- print(f"Starting on {host}:{port}")\n\n13 lines total.\n\nHmm, but I\'m second-guessing myself. Let me think about what git grep -C 2 actually produces.\n\nThe -C 2 flag shows 2 lines of context before and after each match. So for each matching line, there should be 5 lines total (2 before + 1 match + 2 after).\n\nFirst match: "port": 8080,\nWith 2 lines of context before and 2 lines after, that would be 5 lines. But I see 8 lines in the first block (lines 3-10 in my count above, but that includes the separator).\n\nWait, I\'m confusing myself. Let me start over and count the lines in the first block only:\n\nserver.py:import sys\nserver.py:import os\nserver.py-\nserver.py-CONFIG = {\nserver.py- "host": "localhost",\nserver.py: "port": 8080,\nserver.py- "debug": True,\nserver.py- "workers": 4,\n\nThat\'s 8 lines in the first block.\n\nFor the second block:\nserver.py-def start_server():\nserver.py- host = CONFIG["host"]\nserver.py: port = CONFIG["port"]\nserver.py- print(f"Starting on {host}:{port}")\n\nThat\'s 4 lines in the second block.\n\nPlus the separator "--" = 1 line.\n\nTotal: 8 + 1 + 4 = 13 lines.\n\nBut I\'m not sure if the separator should be counted. Let me think about this from the perspective of what git grep actually outputs.\n\nIn git grep, when you use -C (or --context), it shows context lines around each match. The "--" separator is used to separate different match blocks, making it clear where one match ends and another begins. It\'s part of the output formatting.\n\nSo I\'ll count it: 13 lines.\n\nActually, I realize I need to be more precise. Let me look at the exact output format again:\n\n```\nserver.py:import sys\nserver.py:import os\nserver.py-\nserver.py-CONFIG = {\nserver.py- "host": "localhost",\nserver.py: "port": 8080,\nserver.py- "debug": True,\nserver.py- "workers": 4,\n--\nserver.py-def start_server():\nserver.py- host = CONFIG["host"]\nserver.py: port = CONFIG["port"]\nserver.py- print(f"Starting on {host}:{port}")\n```\n\nCounting all lines including the separator:\n1. server.py:import sys\n2. server.py:import os\n3. server.py-\n4. server.py-CONFIG = {\n5. server.py- "host": "localhost",\n6. server.py: "port": 8080,\n7. server.py- "debug": True,\n8. server.py- "workers": 4,\n9. --\n10. server.py-def start_server():\n11. server.py- host = CONFIG["host"]\n12. server.py: port = CONFIG["port"]\n13. server.py- print(f"Starting on {host}:{port}")\n\n13 lines total.\n\nI\'m confident the answer is 13.\n\nWait, I should double-check the context. The -C 2 flag should show 2 lines of context before and after each match.\n\nFor the first match at line 6 ("port": 8080,):\n- 2 lines before: lines 4-5 (CONFIG = { and "host": "localhost",)\n- Match: line 6\n- 2 lines after: lines 7-8 ("debug": True, and "workers": 4,)\n\nThat\'s 5 lines total for the first match, but I see 8 lines in the first block. Let me recount:\n\nserver.py:import sys (line 1)\nserver.py:import os (line 2)\nserver.py- (line 3)\nserver.py-CONFIG = { (line 4)\nserver.py- "host": "localhost", (line 5)\nserver.py: "port": 8080, (line 6 - match)\nserver.py- "debug": True, (line 7)\nserver.py- "workers": 4, (line 8)\n\nSo there are 8 lines in the first block, which means 3 lines of context before the match and 2 lines after. That\'s more than -C 2 would typically show.\n\nHmm, maybe the first block is showing context from a different match? Or maybe the output is showing all lines around all matches, not just the specific ones?\n\nActually, I think I\'m overcomplicating this. The question is simply asking how many total lines appear in the output, not analyzing the context. So I should just count all visible lines.\n\nLet me count once more:\n1. server.py:import sys\n2. server.py:import os\n3. server.py-\n4. server.py-CONFIG = {\n5. server.py- "host": "localhost",\n6. server.py: "port": 8080,\n7. server.py- "debug": True,\n8. server.py- "workers": 4,\n9. --\n10. server.py-def start_server():\n11. server.py- host = CONFIG["host"]\n12. server.py: port = CONFIG["port"]\n13. server.py- print(f"Starting on {host}:{port}")\n\n13 lines total.\n\nI\'m confident the answer is 13.</think>13'
poolside/laguna-xs-2.1:none__json_schema FAIL 0% 173 in → 12 out (0 reasoning)
22
JSON Schema Structured Output
(raw) { "count": 22 }
Failure: Expected numeric answer '13', got '22'
poolside/laguna-xs-2.1:xhigh FAIL 0% 173 in → 7 out (0 reasoning)
16 </think>16
Failure: Expected numeric answer '13', got '16\n</think>16'
poolside/laguna-xs-2.1:xhigh__json_schema FAIL 0% 173 in → 13 out (0 reasoning)
14
JSON Schema Structured Output
(raw) { "count": 14 }
Failure: Expected numeric answer '13', got '14'
poolside/laguna-xs.2:high__json_schema FAIL 0% 210 in → 335 out (325 reasoning)
11
JSON Schema Structured Output
(raw) {"count": 11}
Failure: Expected numeric answer '13', got '11'
poolside/laguna-xs.2:medium FAIL 0% 210 in → 372 out (367 reasoning)
11
Failure: Expected numeric answer '13', got '11'
poolside/laguna-xs.2:medium__json_schema FAIL 0% 210 in → 278 out (270 reasoning)
12
JSON Schema Structured Output
(raw) {"count":12}
Failure: Expected numeric answer '13', got '12'
poolside/laguna-xs.2:none FAIL 0% 210 in → 4 out (0 reasoning)
20
Failure: Expected numeric answer '13', got '20'
poolside/laguna-xs.2:none__json_schema FAIL 0% 210 in → 8 out (0 reasoning)
16
JSON Schema Structured Output
(raw) {"count": 16}
Failure: Expected numeric answer '13', got '16'
qwen/qwen3.6-27b:none FAIL 0% 173 in → 3 out (0 reasoning)
12
Failure: Expected numeric answer '13', got '12'
qwen/qwen3.6-27b:none__json_schema FAIL 0% 173 in → 12 out (0 reasoning)
12
JSON Schema Structured Output
(raw) { "count": 12 }
Failure: Expected numeric answer '13', got '12'
qwen/qwen3.6-35b-a3b:none FAIL 0% 173 in → 3 out (0 reasoning)
15
Failure: Expected numeric answer '13', got '15'
qwen/qwen3.6-35b-a3b:none__json_schema FAIL 0% 173 in → 11 out (0 reasoning)
0
JSON Schema Structured Output
(raw) { "count": 0 }
Failure: Expected numeric answer '13', got '0'
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-abade970-3920-975f-866a-d1224ec00bc5","request_id":"abade970-3920-975f-866a-d1224ec00bc5"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-cc47239b-dc92-939a-a391-9be8c228edb4","request_id":"cc47239b-dc92-939a-a391-9be8c228edb4"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-376c80c0-f647-9df3-aeab-a1e6aa99a919","request_id":"376c80c0-f647-9df3-aeab-a1e6aa99a919"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
qwen/qwen3.6-flash:none FAIL 0% 173 in → 2 out (0 reasoning)
20
Failure: Expected numeric answer '13', got '20'
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-47973cab-e34b-9e56-987b-11d63d026170","request_id":"47973cab-e34b-9e56-987b-11d63d026170"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-49adc192-86b6-96e7-bcc3-7bb74f792e72","request_id":"49adc192-86b6-96e7-bcc3-7bb74f792e72"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': 'data: {"error":{"code":"invalid_parameter_error","param":null,"message":"\'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error"},"id":"chatcmpl-822c0f55-1325-9ace-8c1b-d7f780412c53"}\n\n', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': 'data: {"error":{"code":"invalid_parameter_error","param":null,"message":"\'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error"},"id":"chatcmpl-b6268df5-0b6b-9c9b-b95a-46841aa2925e"}\n\n', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': 'data: {"error":{"code":"invalid_parameter_error","param":null,"message":"\'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error"},"id":"chatcmpl-0f3ddd77-733c-998f-8c79-54a91efd3633"}\n\n', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': 'data: {"error":{"code":"invalid_parameter_error","param":null,"message":"\'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error"},"id":"chatcmpl-f59b3ccd-d9c9-9c8a-a112-fab7bfd09723"}\n\n', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
qwen/qwen3.7-flash:none FAIL 0% 173 in → 2 out (0 reasoning)
15
Failure: Expected numeric answer '13', got '15'
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': 'data: {"error":{"code":"invalid_parameter_error","param":null,"message":"\'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error"},"id":"chatcmpl-8a64be27-b933-92e0-bdbd-1e6ed83750a2"}\n\n', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': 'data: {"error":{"code":"invalid_parameter_error","param":null,"message":"\'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error"},"id":"chatcmpl-93665480-9a24-991a-8a34-be034f7e8b4b"}\n\n', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-9a961459-f702-9781-9703-56e7829327d3","request_id":"9a961459-f702-9781-9703-56e7829327d3"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-16154ff8-a374-9632-b5ab-da2e9fe0eadf","request_id":"16154ff8-a374-9632-b5ab-da2e9fe0eadf"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-769b075a-2b9a-9f7f-88ca-54c46afa64f2","request_id":"769b075a-2b9a-9f7f-88ca-54c46afa64f2"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
qwen/qwen3.7-max:none FAIL 0% 173 in → 1 out (0 reasoning)
9
Failure: Expected numeric answer '13', got '9'
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-9031b6a9-5d59-995f-81f0-3479261d73ba","request_id":"9031b6a9-5d59-995f-81f0-3479261d73ba"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-05401aa3-f6c0-9284-84c5-4af1c862928c","request_id":"05401aa3-f6c0-9284-84c5-4af1c862928c"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-692cb3ff-6021-905e-b3d7-705aae53f6fe","request_id":"692cb3ff-6021-905e-b3d7-705aae53f6fe"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-0990131c-edbf-9a28-bcd8-ace38d609ed4","request_id":"0990131c-edbf-9a28-bcd8-ace38d609ed4"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-1592eca3-c316-9053-a2d1-2f0bf332b264","request_id":"1592eca3-c316-9053-a2d1-2f0bf332b264"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
qwen/qwen3.7-plus:none FAIL 0% 173 in → 2 out (0 reasoning)
10
Failure: Expected numeric answer '13', got '10'
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-a2c92f0a-1244-9ae5-a2f7-17a74bc66938","request_id":"a2c92f0a-1244-9ae5-a2f7-17a74bc66938"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
(empty output)
JSON Schema Structured Output
Failure: Error code: 400 - {'error': {'message': 'Provider returned error', 'code': 400, 'metadata': {'raw': '{"error":{"message":"<400> InternalError.Algo.InvalidParameter: \'messages\' must contain the word \'json\' in some form, to use \'response_format\' of type \'json_object\'.","type":"invalid_request_error","param":null,"code":"invalid_parameter_error"},"id":"chatcmpl-f05bc80b-a012-9f40-915c-04e29569f757","request_id":"f05bc80b-a012-9f40-915c-04e29569f757"}', 'provider_name': 'Alibaba', 'is_byok': False}}, 'user_id': 'user_3FrVBkmFqVIuZ58dEh7AU8vhXUV'}
tencent/hy3:none FAIL 0% 165 in → 2 out (0 reasoning)
20
Failure: Expected numeric answer '13', got '20'
tencent/hy3:none__json_schema FAIL 0% 165 in → 8 out (0 reasoning)
21
JSON Schema Structured Output
(raw) { "count": 21 }
Failure: Expected numeric answer '13', got '21'
thinkingmachines/inkling-small:none FAIL 0% 161 in → 4 out (0 reasoning)
16
Failure: Expected numeric answer '13', got '16'
Invalid JSON. Output: 15{"count": 15}
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Extra data: line 1 column 3 (char 2)
Failure: Failed to parse structured JSON response: Extra data: line 1 column 3 (char 2)
Invalid structured output. Output: 13
JSON Schema Structured Output
Structured Output Error
Structured output schema validation failed: $ must be of type object
Failure: Structured output schema validation failed: $ must be of type object
thinkingmachines/inkling:low__json_schema FAIL 0% 163 in → 294 out (280 reasoning)
14
JSON Schema Structured Output
(raw) { "count": 14 }
Failure: Expected numeric answer '13', got '14'
Invalid structured output. Output: 13
JSON Schema Structured Output
Structured Output Error
Structured output schema validation failed: $ must be of type object
Failure: Structured output schema validation failed: $ must be of type object
thinkingmachines/inkling:none FAIL 0% 161 in → 5 out (0 reasoning)
17
Failure: Expected numeric answer '13', got '17'
Invalid JSON. Output: 13{ "count": 13 }
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Extra data: line 1 column 3 (char 2)
Failure: Failed to parse structured JSON response: Extra data: line 1 column 3 (char 2)
x-ai/grok-4.3:medium FAIL 0% 339 in → 1,311 out (1,110 reasoning)
13 The provided `git grep -C 2` output block consists of exactly the following lines, counted verbatim: 1. `server.py:import sys` 2. `server.py:import os` 3. `server.py-` 4. `server.py-CONFIG = {` 5. `server.py- "host": "localhost",` 6. `server.py: "port": 8080,` 7. `server.py- "debug": True,` 8. `server.py- "workers": 4,` 9. `--` 10. `server.py-def start_server():` 11. `server.py- host = CONFIG["host"]` 12. `server.py: port = CONFIG["port"]` 13. `server.py: print(f"Starting on {host}:{port}")` No additional blank lines, trailing newlines, or hidden separators exist inside the block; therefore the total line count is 13.
Failure: Expected numeric answer '13', got '13\n\n\nThe provided `git grep -C 2` output block consists of exactly the following lines, counted verbatim:\n\n1. `server.py:import sys`\n2. `server.py:import os`\n3. `server.py-`\n4. `server.py-CONFIG = {`\n5. `server.py- "host": "localhost",`\n6. `server.py: "port": 8080,`\n7. `server.py- "debug": True,`\n8. `server.py- "workers": 4,`\n9. `--`\n10. `server.py-def start_server():`\n11. `server.py- host = CONFIG["host"]`\n12. `server.py: port = CONFIG["port"]`\n13. `server.py: print(f"Starting on {host}:{port}")`\n\nNo additional blank lines, trailing newlines, or hidden separators exist inside the block; therefore the total line count is 13.'
x-ai/grok-4.3:none FAIL 0% 331 in → 1 out (0 reasoning)
10
Failure: Expected numeric answer '13', got '10'
x-ai/grok-4.3:none__json_schema FAIL 0% 385 in → 5 out (0 reasoning)
15
JSON Schema Structured Output
(raw) {"count":15}
Failure: Expected numeric answer '13', got '15'
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
z-ai/glm-4.7-flash:none FAIL 0% 154 in → 2 out (0 reasoning)
7
Failure: Expected numeric answer '13', got '7'
z-ai/glm-4.7-flash:none__json_schema FAIL 0% 154 in → 8 out (0 reasoning)
9
JSON Schema Structured Output
(raw) { "count": 9 }
Failure: Expected numeric answer '13', got '9'
z-ai/glm-4.7-flash:xhigh__json_schema FAIL 0% 154 in → 676 out (509 reasoning)
9
JSON Schema Structured Output
(raw) { "count": 9 }
Failure: Expected numeric answer '13', got '9'
Invalid JSON. Output:
JSON Schema Structured Output
Structured Output Error
Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
Failure: Failed to parse structured JSON response: Expecting value: line 1 column 1 (char 0)
z-ai/glm-5.2:none FAIL 0% 155 in → 2 out (0 reasoning)
14
Failure: Expected numeric answer '13', got '14'
z-ai/glm-5.2:none__json_schema FAIL 0% 155 in → 7 out (0 reasoning)
15
JSON Schema Structured Output
(raw) {"count": 15}
Failure: Expected numeric answer '13', got '15'