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ExploitGym

We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.

  1. 1GPT-6 Astra · OpenAI
    42.4%
  2. 2GPT-6.1 Sol · OpenAI
    35.1%
  3. 3DeepSeek-V4.1-Flash · DeepSeek
    15.3%
  4. 4GPT-6 Luna · OpenAI
    11.6%

How each maker reported it

  • GPT-6 Astra Launch post (openai.com/index/gpt-6-astra); system card §6, §10.1; GPT-6.1 Sol addendum §5, §9

    Coding and reasoning rows come from the GPT-6 Astra launch post (3 Sep 2026); OpenAI's own comparison table, settings as published there. The system card reports safety and Preparedness evaluations, not general capability benchmarks. Cyber and bio scores are at maximum reasoning effort; bio scores are refusal-adjusted. HealthBench scores are length-adjusted. GPT-6.1 Sol and some GPT-5.6 Sol values come from the GPT-6.1 Sol addendum (29 Sep 2026).

  • GPT-6.1 Sol §5, §9

    The addendum reports safety and Preparedness evaluations, not general capability benchmarks. Cyber and bio scores are at maximum reasoning effort; bio scores are refusal-adjusted. HealthBench scores are length-adjusted.

  • DeepSeek-V4.1-Flash Table 3, p.33

    All models at max reasoning effort. Code-agent benchmarks use DeepSeek Harness Minimal mode with 1M context; DeepSWE uses mini-SWE; visual agent tasks use the Claude Code harness with 512K context. HLE for some models is the text-only subset. The Hugging Face card lists NL2Repo-Bench as 64.0; the report and change log say 65.4.

  • GPT-6 Luna Appendix A, p.120–154; GPT-6.1 Sol addendum Table 9

    The card reports safety and Preparedness evaluations, not general capability benchmarks. Cyber and bio scores are at maximum reasoning effort; HealthBench scores are length-adjusted. MentalHealthBench comes from the GPT-6.1 Sol addendum.

Only each model's own maker's number is shown; scores a maker reports for rival models are left out.