ProgramBench task detail

zk-org__zk.10d93d5

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.

1108generated behavioral tests
43.1%official best score
34.0%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 34.0% ok 377/1108 n/a 56 0.21h not exported
2 GPT 5.5 (xhigh) 20260518T232006Z Codex /goal Paper prompt + /goal no internet 26.8% ok 297/1108 n/a 44 0.14h not exported
3 GPT 5.5 (xhigh) 20260517T094700Z Codex /goal Mini-SWE-compatible no internet 10.6% ok 117/1108 $5.66 99 0.26h manifest · eval json · eval summary · usage audit

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) · 20260518T232006Z

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

GPT 5.5 (xhigh) · 20260517T094700Z

10.6% from 117/1108 ProgramBench-scored tests. Raw public eval statuses: error: 74, failure: 78, not_run: 1185, passed: 134.

Agent trace summary unavailable.

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

  • a94a7d27d002 eval.tests.test_advanced_features.test_list_format_full (error)
  • a94a7d27d002 eval.tests.test_advanced_features.test_new_with_group (error)
  • a94a7d27d002 eval.tests.test_configuration.test_list_multiple_match_terms (error)
  • a94a7d27d002 eval.tests.test_advanced_features.test_tag_list_format_full (error)
  • a94a7d27d002 eval.tests.test_advanced_features.test_list_recursive_links (error)
  • a94a7d27d002 eval.tests.test_advanced_features.test_list_mentioned_by_filter (error)

manifest · eval json · eval summary · usage audit

Official ProgramBench Results by Model

#ModelProviderScoreCostCalls
1 Claude Sonnet 4.6 Anthropic 43.1% $24.25 494
2 GPT 5.4 OpenAI 17.0% $0.30 8
3 GPT 5.5 (high) OpenAI 16.5% $4.05 51
4 GPT 5.5 (xhigh) OpenAI 16.2% $7.05 80
5 Claude Opus 4.7 (xhigh) Anthropic 16.1% $9.09 113
6 GPT 5.5 OpenAI 15.3% $1.30 22
7 Claude Opus 4.7 Anthropic 14.0% $1.52 59
8 Gemini 3 Flash Google 13.9% $0.21 62
9 Gemini 3.1 Pro Google 12.1% $1.75 139
10 GPT 5 mini OpenAI 7.5% $0.02 12
11 GPT 5.4 mini OpenAI 5.1% $0.03 9
12 Claude Opus 4.6 Anthropic 1.2% $14.07 286
13 Claude Haiku 4.5 Anthropic 1.2% $0.59 91