ProgramBench task detail

osgeo__gdal.0847f12

Task-level results for this Codex /goal scaffold. ProgramBench baseline context is cached from the official task page; Codex scored tests are after active-branch and ignored-test filtering.

657generated behavioral tests
25.4%official best score
26.5%Codex best score
3Codex result rows

Codex Results by Model

#ModelRunAgentModeScoreEvalTestsEst. costCallsWallEvidence
1 GPT 5.5 (xhigh) 20260519T215046Z Codex /goal Paper prompt + Goal contract no internet 26.5% ok 174/657 n/a 51 0.22h not exported
2 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 21.2% ok 139/657 $5.66 67 0.27h manifest · eval json · eval summary · usage audit
3 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 14.0% ok 92/657 n/a 56 0.16h not exported

Why Scores Differ

Official ProgramBench rows are the public mini-SWE-agent submissions. GoalBench rows are separate Codex /goal submissions. Same model label does not mean the same agent, prompt, tool loop, or generated implementation. A GoalBench row is resolved only when the ProgramBench-scored pass rate is exactly 100%.

GPT 5.5 (xhigh) · 20260519T215046Z

Public eval evidence has not been exported for this row yet.

GPT 5.5 (xhigh) · 20260517T094700Z

21.2% from 139/657 ProgramBench-scored tests. Raw public eval statuses: failure: 888, passed: 429, skipped: 2.

Agent trace summary unavailable.

Likely miss class: behavioral mismatch.

  • 14d8b1f8ec41 eval.tests.test_dataset_advanced.test_dataset_check_vector (failure)
  • 14d8b1f8ec41 eval.tests.test_pipeline_advanced.test_vector_pipeline_segmentize (failure)
  • 14d8b1f8ec41 eval.tests.test_mdim.test_vector_sql_multiple (failure)
  • 14d8b1f8ec41 eval.tests.test_basic.test_filename_shortcut_vector (failure)
  • 14d8b1f8ec41 eval.tests.test_info_shortcut.test_convert_shortcut_vector (failure)
  • 14d8b1f8ec41 eval.tests.test_more_coverage.test_raster_tile_with_title (failure)

manifest · eval json · eval summary · usage audit

GPT 5.5 (xhigh) · 20260518T232006Z

Public eval evidence has not been exported for this row yet.

Official ProgramBench Results by Model

#ModelProviderScoreCostCalls
1 Claude Sonnet 4.6 Anthropic 25.4% $48.10 684
2 GPT 5.5 (high) OpenAI 17.2% $3.46 36
3 GPT 5.5 OpenAI 11.9% $0.94 14
4 Claude Opus 4.7 (xhigh) Anthropic 10.0% $8.27 154
5 Gemini 3 Flash Google 6.7% $0.24 70
6 Claude Haiku 4.5 Anthropic 6.1% $0.64 142
7 GPT 5.4 OpenAI 5.3% $0.36 9
8 Gemini 3.1 Pro Google 5.0% $0.74 39
9 GPT 5.4 mini OpenAI 5.0% $0.03 7
10 Claude Opus 4.7 Anthropic 3.7% $0.47 22
11 GPT 5 mini OpenAI 1.7% $0.09 35
12 GPT 5.5 (xhigh) OpenAI 0.0% $4.39 41
13 Claude Opus 4.6 Anthropic 0.0% $2.60 218