AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

FrontierChallenge

Pass-rate results are model-scaffold measurements over the 97 released tasks with one trajectory per system-task pair, so a reported percentage is not a model-only number and does not estimate reliability beyond this release or under a different scaffold.

Evidence available for this benchmark

This source record contains 13 numeric observations. The source distinguishes 12 model identities or configurations. A model may appear more than once; check the version, tools and run budget before comparing. Read results and row-level evidence →

Reported metric
pass_rate
Recorded unit
percent
Metric direction
higher is better

Start with these resources

Cited documents and dates (1)

Evaluation context and evidence

Source
Model reports
Publisher
Not recorded
Benchmark release
2026-08-25
Collected
Not recorded
Modality
Not recorded

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Reported results 13

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Apodex 1.110.3percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
Claude Opus 517.5percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
DeepSeek V4 Flash-073112.4percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
DeepSeek V4 Pro-081313.4percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
GLM-5.23.1percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
Gemini 3.7 Flash10.3percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
Grok 4.620.6percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
Kimi K317.5percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
Qwen 3.8 Max15.5percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
Qwen3.5-397B-A17B4.1percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Claude Code2026-08-25 · document_publicationFrontierChallenge leaderboard
GPT-5.6 Sol20.6percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Codex2026-08-25 · document_publicationFrontierChallenge leaderboard
GPT-5.6 Terra (max)15.5percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Codex2026-08-25 · document_publicationFrontierChallenge leaderboard
Apodex 1.112.4percent97 released tasks; one trajectory per system-task pair; pass = native Score >= 99.9; agent scaffold: Frontier Agent (Agent Team)2026-08-25 · document_publicationFrontierChallenge leaderboard