ProgramBench task detail

cslarsen__jp2a.61d205f

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.

631generated behavioral tests
61.3%official best score
55.2%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 55.2% ok 348/631 n/a 89 0.29h not exported
2 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 47.1% ok 297/631 $5.17 82 0.28h manifest · eval json · eval summary · usage audit
3 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 43.3% ok 273/631 n/a 83 0.29h 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

47.1% from 297/631 ProgramBench-scored tests. Raw public eval statuses: failure: 336, passed: 375, skipped: 3.

Agent trace summary unavailable.

Likely miss class: behavioral mismatch, exact version/output mismatch.

  • a06931aa0fba eval.tests.test_jp2a.test_version_output (failure)
  • a06931aa0fba eval.tests.test_jp2a.test_help_output (failure)
  • a06931aa0fba eval.tests.test_jp2a.test_debug_mode (failure)
  • a06931aa0fba eval.tests.test_jp2a.test_custom_weights_sum_validation (failure)
  • a06931aa0fba eval.tests.test_jp2a_coverage.test_invalid_width_zero (failure)
  • a06931aa0fba eval.tests.test_jp2a_coverage.test_invalid_height_zero (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 GPT 5.5 (xhigh) OpenAI 61.3% $8.75 97
2 Claude Opus 4.7 Anthropic 56.1% $16.11 239
3 GPT 5.5 OpenAI 45.0% $1.50 28
4 GPT 5.5 (high) OpenAI 44.4% $5.11 46
5 Claude Sonnet 4.6 Anthropic 42.2% $45.93 495
6 Claude Opus 4.6 Anthropic 42.0% $13.07 192
7 Gemini 3 Flash Google 33.3% $0.31 68
8 Claude Haiku 4.5 Anthropic 30.0% $1.24 162
9 Gemini 3.1 Pro Google 26.0% $2.21 100
10 GPT 5.4 OpenAI 25.2% $0.43 15
11 Claude Opus 4.7 (xhigh) Anthropic 19.2% $15.72 169
12 GPT 5.4 mini OpenAI 14.1% $0.05 37
13 GPT 5 mini OpenAI 4.6% $0.01 12