ProgramBench task detail

canop__rhit.ae90bcb

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.

817generated behavioral tests
73.2%official best score
74.7%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 74.7% ok 610/817 $5.40 81 0.22h manifest · eval json · eval summary · usage audit
2 GPT 5.5 (xhigh) 20260519T215046Z Codex /goal Paper prompt + Goal contract no internet 67.6% ok 552/817 n/a 83 0.26h not exported
3 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 55.0% ok 449/817 n/a 43 0.15h 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

74.7% from 610/817 ProgramBench-scored tests. Raw public eval statuses: failure: 209, passed: 879.

Agent trace summary unavailable.

Likely miss class: behavioral mismatch, interactive terminal behavior mismatch.

  • 6393fbdb1dff eval.tests.test_date_time_filters.test_date_iso_format (failure)
  • 6393fbdb1dff eval.tests.test_display_options.test_color_yes (failure)
  • c0926ca6510e eval.tests.test_rhit.test_color_yes (failure)
  • c0926ca6510e eval.tests.test_rhit_coverage_boost.test_date_parsing_various_formats (failure)
  • c0926ca6510e eval.tests.test_rhit_coverage_boost.test_printer_color_variations (failure)
  • 5acb4aa8bf92 tests.test_basic.test_help_message (failure)

manifest · eval json · eval summary · usage audit

GPT 5.5 (xhigh) · 20260519T215046Z

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

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 73.2% $12.36 78
2 GPT 5.5 (high) OpenAI 70.1% $4.62 43
3 Claude Opus 4.7 (xhigh) Anthropic 57.5% $1.65 34
4 Claude Opus 4.7 Anthropic 53.2% $1.18 34
5 Claude Sonnet 4.6 Anthropic 52.5% $40.64 458
6 Claude Opus 4.6 Anthropic 52.4% $15.70 230
7 GPT 5.5 OpenAI 44.8% $1.74 17
8 GPT 5.4 OpenAI 43.2% $0.23 7
9 Gemini 3 Flash Google 38.4% $0.40 68
10 Gemini 3.1 Pro Google 31.1% $3.17 135
11 Claude Haiku 4.5 Anthropic 28.5% $1.08 134
12 GPT 5 mini OpenAI 7.8% $0.02 15
13 GPT 5.4 mini OpenAI 1.3% $0.07 17