aiaimodel.cards
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CVE-Bench

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

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1GPT-5.5 · OpenAIbest value
    93.1%
  2. 2GPT-5.4 · OpenAIbest value
    86.3%
  3. 3GPT-5.4 Mini · OpenAIbest value
    83.3%

“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.

How each maker reported it

  • GPT-5.5 §5, §9.1, p.12, p.24–39

    The card reports safety and Preparedness evaluations, not general capability benchmarks. Several values are read from the card's labelled charts. HealthBench scores are length-adjusted; the card's health comparison column is labelled "GPT-5.4". Biochemistry is reward@4, protein binding pass@4, DNA design pass@1, CTF pass@12, Tacit Knowledge cons@32; Internal Research Debugging is a median score.

  • GPT-5.4 §3.6, §5.1, §6.3, p.10, p.18–28, p.36

    The card reports safety and Preparedness evaluations, not general capability benchmarks. Most values are read from the card's labelled charts; GPT-5.4 mini values come from the card's appendix tables. GPT-5.2 Thinking's Cyber Range rate is a lower bound. The health comparison columns are labelled "GPT-5.4" and "GPT-5.2". CTF is pass@12, Tacit Knowledge cons@32.

  • GPT-5.4 Mini §6.3, Tables 18–20, p.36

    The appendix reports only Preparedness evaluations. Bio values are without counting refusals; counting refusals and safe completions as successes, GPT-5.4 mini scores 47.0%, 34.24%, 77.77% and 33.11%. Tacit Knowledge is cons@32, CTF pass@12, others pass@1.

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