ProgramBench task detail

git-bahn__git-graph.87b4473

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.

568generated behavioral tests
93.7%official best score
75.0%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 75.0% ok 426/568 n/a 64 0.24h not exported
2 GPT 5.5 (xhigh) 20260519T215046Z Codex /goal Paper prompt + Goal contract no internet 60.9% ok 346/568 n/a 93 0.30h not exported
3 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 0.0% error 0/568 $6.07 96 0.31h 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

0.0% from 0/568 ProgramBench-scored tests. Raw public eval statuses: not_run: 733.

Agent trace summary unavailable.

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

  • 800f83026235 eval.tests.test_additional_coverage.test_all_styles_with_ascii (not_run)
  • 800f83026235 eval.tests.test_additional_coverage.test_color_always_with_different_styles (not_run)
  • 800f83026235 eval.tests.test_additional_coverage.test_debug_with_svg (not_run)
  • 800f83026235 eval.tests.test_additional_coverage.test_format_combinations (not_run)
  • 800f83026235 eval.tests.test_additional_coverage.test_format_conditional_minus (not_run)
  • 800f83026235 eval.tests.test_additional_coverage.test_format_conditional_plus (not_run)

manifest · eval json · eval summary · usage audit

Official ProgramBench Results by Model

#ModelProviderScoreCostCalls
1 GPT 5.5 (xhigh) OpenAI 93.7% $12.72 109
2 GPT 5.5 (high) OpenAI 88.0% $3.35 42
3 Claude Sonnet 4.6 Anthropic 79.6% $49.86 658
4 Claude Opus 4.7 (xhigh) Anthropic 78.9% $4.01 117
5 GPT 5.5 OpenAI 74.8% $1.29 21
6 Claude Haiku 4.5 Anthropic 58.8% $1.17 166
7 GPT 5.4 OpenAI 56.2% $0.20 10
8 Gemini 3.1 Pro Google 35.6% $0.94 49
9 GPT 5.4 mini OpenAI 27.6% $0.07 20
10 Claude Opus 4.7 Anthropic 3.3% $7.75 160
11 GPT 5 mini OpenAI 3.3% $0.02 14
12 Gemini 3 Flash Google 1.2% $0.24 49
13 Claude Opus 4.6 Anthropic 0.0% $1.52 216