ProgramBench task detail

oppiliappan__eva.41ae245

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.

913generated behavioral tests
98.4%official best score
88.9%Codex best score
3Codex result rows

Codex Results by Model

#ModelRunAgentModeScoreEvalTestsEst. costCallsWallEvidence
1 GPT 5.5 (xhigh) 20260519T215046Z Codex /goal Paper prompt + Goal contract no internet 88.9% ok 812/913 n/a 72 0.23h not exported
2 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 86.3% ok 788/913 $5.51 112 0.28h manifest · eval json · eval summary · usage audit
3 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 83.7% ok 764/913 n/a 80 0.21h 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) · 20260519T215046Z

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

GPT 5.5 (xhigh) · 20260517T094700Z

86.3% from 788/913 ProgramBench-scored tests. Raw public eval statuses: failure: 127, passed: 836.

Agent trace summary unavailable.

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

  • fce1b7cdd1db tests.test_angle_units.test_angle_conversion_deg (failure)
  • fce1b7cdd1db tests.test_arithmetic_operations.test_factorial (failure)
  • fce1b7cdd1db tests.test_arithmetic_operations.test_factorial_large (failure)
  • fce1b7cdd1db tests.test_arithmetic_operations.test_modulo (failure)
  • fce1b7cdd1db tests.test_edge_cases.test_modulo_with_decimals (failure)
  • fce1b7cdd1db tests.test_edge_cases.test_factorial_of_one (failure)

manifest · eval json · eval summary · usage audit

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 98.4% $7.02 69
2 GPT 5.5 (high) OpenAI 94.1% $3.40 40
3 Claude Opus 4.7 Anthropic 88.7% $3.68 122
4 Claude Opus 4.6 Anthropic 88.6% $15.05 400
5 Claude Sonnet 4.6 Anthropic 83.9% $12.84 393
6 GPT 5.4 OpenAI 75.8% $0.33 13
7 GPT 5.5 OpenAI 74.9% $1.18 22
8 Gemini 3 Flash Google 66.9% $0.26 116
9 GPT 5 mini OpenAI 60.5% $0.04 23
10 Claude Haiku 4.5 Anthropic 51.5% $0.85 144
11 GPT 5.4 mini OpenAI 44.9% $0.06 8
12 Claude Opus 4.7 (xhigh) Anthropic 0.5% $22.33 294
13 Gemini 3.1 Pro Google 0.0% $1.40 113