ProgramBench task detail

boyter__scc.515f91c

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.

464generated behavioral tests
47.8%official best score
43.3%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 43.3% ok 201/464 n/a 65 0.22h not exported
2 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 37.9% ok 176/464 $5.82 87 0.22h manifest · eval json · eval summary · usage audit
3 GPT 5.5 (xhigh) 20260519T215046Z Codex /goal Paper prompt + Goal contract no internet 35.3% ok 164/464 n/a 96 0.32h 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) · 20260518T232006Z

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

GPT 5.5 (xhigh) · 20260517T094700Z

37.9% from 176/464 ProgramBench-scored tests. Raw public eval statuses: failure: 297, passed: 178, skipped: 1.

Agent trace summary unavailable.

Likely miss class: behavioral mismatch.

  • 06dabfabaea7 tests.test_analysis.test_percent_with_character_count_combined (failure)
  • 06dabfabaea7 tests.test_classification.test_default_xml_marker_detection (failure)
  • 06dabfabaea7 tests.test_core_counting.test_multilanguage_aggregation_accuracy (failure)
  • 06dabfabaea7 tests.test_core_counting.test_deeply_nested_directory_5_levels (failure)
  • 06dabfabaea7 tests.test_classification.test_custom_marker_not_found (failure)
  • 06dabfabaea7 tests.test_classification.test_no_gen_excludes_only_generated (failure)

manifest · eval json · eval summary · usage audit

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 (high) OpenAI 47.8% $5.71 67
2 Claude Sonnet 4.6 Anthropic 37.7% $46.35 593
3 Claude Opus 4.6 Anthropic 37.3% $15.01 315
4 Claude Opus 4.7 (xhigh) Anthropic 36.4% $20.65 267
5 GPT 5.5 (xhigh) OpenAI 28.2% $17.09 107
6 GPT 5.5 OpenAI 20.7% $0.83 11
7 Claude Opus 4.7 Anthropic 19.6% $1.69 54
8 Gemini 3.1 Pro Google 11.4% $1.22 98
9 Claude Haiku 4.5 Anthropic 8.2% $0.60 86
10 Gemini 3 Flash Google 5.8% $0.23 76
11 GPT 5.4 OpenAI 4.5% $0.26 9
12 GPT 5 mini OpenAI 1.9% $0.03 13
13 GPT 5.4 mini OpenAI 1.7% $0.03 9