aiaimodel.cards
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MLE-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. 1Gemini 3.6 Flash · Googlebest value
    63.9%
  2. 2Gemini 3.5 Flash-Lite · Googlebest value
    39.2%
  3. 3GPT-5.4 · OpenAI
    23.3%

“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

  • Gemini 3.6 Flash p.4 (table also on the model card web page)

    Results as of July 2026, as published in Google's model card. Competitor figures are as listed by Google.

  • Gemini 3.5 Flash-Lite p.4

    Results as of July 2026, as published in Google's model card. Competitor figures are as listed by Google.

  • 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.

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