aiaimodel.cards
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MLE-Bench-30

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
    36.7%

“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.

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