ProgramBench task detail

miserlou__loop.209927c

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.

710generated behavioral tests
97.3%official best score
95.1%Codex best score
3Codex result rows

Codex Results by Model

#ModelRunAgentModeScoreEvalTestsEst. costCallsWallEvidence
1 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 95.1% ok 675/710 $5.20 90 0.28h manifest · eval json · eval summary · usage audit
2 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 89.9% ok 638/710 n/a 51 0.14h not exported
3 GPT 5.5 (xhigh) 20260519T215046Z Codex /goal Paper prompt + Goal contract no internet 76.1% ok 540/710 n/a 61 0.19h 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) · 20260517T094700Z

95.1% from 675/710 ProgramBench-scored tests. Raw public eval statuses: failure: 36, passed: 742.

Agent trace summary unavailable.

Likely miss class: behavioral mismatch.

  • 2cb9872af9d3 eval.tests.test_edge_cases.test_for_newline_separated (failure)
  • 2cb9872af9d3 eval.tests.test_error_handling.test_for_with_newlines (failure)
  • 2cb9872af9d3 eval.tests.test_iteration.test_for_with_spaces (failure)
  • 2cb9872af9d3 eval.tests.test_iteration.test_stdin_piped (failure)
  • a11a11798c65 eval.tests.test_for_items.test_for_with_spaces (failure)
  • a11a11798c65 eval.tests.test_regex_intensive.test_regex_with_whitespace_class (failure)

manifest · eval json · eval summary · usage audit

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.

Official ProgramBench Results by Model

#ModelProviderScoreCostCalls
1 GPT 5.5 (xhigh) OpenAI 97.3% $4.91 66
2 Claude Opus 4.6 Anthropic 94.6% $8.74 301
3 Claude Opus 4.7 (xhigh) Anthropic 94.4% $10.93 196
4 GPT 5.5 (high) OpenAI 83.0% $4.57 50
5 Gemini 3.1 Pro Google 81.7% $1.66 176
6 Claude Opus 4.7 Anthropic 79.3% $5.22 143
7 GPT 5.5 OpenAI 55.4% $1.07 18
8 Claude Haiku 4.5 Anthropic 54.9% $0.94 145
9 GPT 5.4 OpenAI 52.0% $0.24 12
10 Gemini 3 Flash Google 52.0% $0.51 142
11 Claude Sonnet 4.6 Anthropic 45.8% $7.56 370
12 GPT 5 mini OpenAI 24.2% $0.02 15
13 GPT 5.4 mini OpenAI 11.0% $0.04 8