ProgramBench task detail

hpjansson__chafa.dd4d4c1

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.

1931generated behavioral tests
58.4%official best score
42.0%Codex best score
3Codex result rows

Codex Results by Model

#ModelRunAgentModeScoreEvalTestsEst. costCallsWallEvidence
1 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 42.0% ok 811/1931 n/a 49 0.17h not exported
2 GPT 5.5 (xhigh) 20260519T215046Z Codex /goal Paper prompt + Goal contract no internet 23.5% ok 454/1931 n/a 118 0.37h not exported
3 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 16.4% ok 317/1931 $5.85 94 0.29h manifest · eval json · eval summary · usage audit

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) · 20260518T232006Z

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

GPT 5.5 (xhigh) · 20260519T215046Z

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

GPT 5.5 (xhigh) · 20260517T094700Z

16.4% from 317/1931 ProgramBench-scored tests. Raw public eval statuses: failure: 2343, passed: 425.

Agent trace summary unavailable.

Likely miss class: behavioral mismatch, terminal rendering mismatch.

  • 20ebc3204b43 eval.tests.test_additional_features.test_combined_options (failure)
  • 20ebc3204b43 eval.tests.test_animation.test_duration_numeric (failure)
  • 20ebc3204b43 eval.tests.test_additional_features.test_format_and_color_combination (failure)
  • 20ebc3204b43 eval.tests.test_additional_features.test_no_preprocess_with_high_colors (failure)
  • 20ebc3204b43 eval.tests.test_additional_features.test_relative_positioning (failure)
  • 20ebc3204b43 eval.tests.test_additional_features.test_polite_mode_combinations (failure)

manifest · eval json · eval summary · usage audit

Official ProgramBench Results by Model

#ModelProviderScoreCostCalls
1 Claude Sonnet 4.6 Anthropic 58.4% $50.80 532
2 Claude Haiku 4.5 Anthropic 50.2% $0.82 136
3 Gemini 3 Flash Google 47.1% $0.17 65
4 Claude Opus 4.6 Anthropic 33.5% $14.64 252
5 GPT 5.5 (xhigh) OpenAI 28.0% $8.49 77
6 GPT 5.5 (high) OpenAI 21.4% $3.78 44
7 Claude Opus 4.7 (xhigh) Anthropic 18.7% $7.73 146
8 GPT 5.5 OpenAI 16.6% $1.74 22
9 Claude Opus 4.7 Anthropic 16.1% $1.45 42
10 GPT 5.4 OpenAI 8.7% $0.16 7
11 GPT 5 mini OpenAI 4.6% $0.01 6
12 GPT 5.4 mini OpenAI 3.5% $0.04 9
13 Gemini 3.1 Pro Google 0.0% $1.65 92