ProgramBench task detail

lh3__seqtk.94e7070

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.

429generated behavioral tests
74.6%official best score
71.6%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 71.6% ok 307/429 n/a 82 0.25h not exported
2 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 69.9% ok 300/429 $3.88 71 0.22h manifest · eval json · eval summary · usage audit
3 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 62.2% ok 267/429 n/a 44 0.16h 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

69.9% from 300/429 ProgramBench-scored tests. Raw public eval statuses: failure: 131, passed: 309.

Agent trace summary unavailable.

Likely miss class: behavioral mismatch.

  • e592c32aec70 eval.tests.test_basic.TestSeqCommand.test_seq_nonexistent_file (failure)
  • e592c32aec70 eval.tests.test_basic.TestSeqCommand.test_seq_strip_whitespace (failure)
  • e592c32aec70 eval.tests.test_basic.TestSeqCommand.test_seq_fake_quality (failure)
  • e592c32aec70 eval.tests.test_basic.TestSeqCommand.test_seq_x_lowercase_to_n (failure)
  • e592c32aec70 eval.tests.test_basic.TestSeqCommand.test_seq_reverse_both_strands (failure)
  • e592c32aec70 eval.tests.test_comp.TestCompCommand.test_comp_with_region_bed (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 74.6% $8.12 77
2 Claude Opus 4.7 (xhigh) Anthropic 73.4% $9.95 147
3 GPT 5.5 (high) OpenAI 68.5% $3.38 46
4 Claude Opus 4.6 Anthropic 67.4% $14.11 306
5 Claude Sonnet 4.6 Anthropic 64.8% $19.13 482
6 Claude Opus 4.7 Anthropic 63.9% $2.48 68
7 GPT 5.5 OpenAI 51.3% $0.94 18
8 GPT 5.4 OpenAI 40.3% $0.26 12
9 Gemini 3 Flash Google 21.4% $0.24 92
10 Gemini 3.1 Pro Google 20.0% $1.26 125
11 Claude Haiku 4.5 Anthropic 17.0% $0.57 84
12 GPT 5 mini OpenAI 8.9% $0.01 16
13 GPT 5.4 mini OpenAI 6.8% $0.02 9