aiaimodel.cards
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MMMU-Pro (no tools)

College-level questions that require reading images, charts and diagrams.

Your workloadRAG over docs · 12K in · 600 out · 50K requests/mo · 30% cached
  1. 1Gemini 3.1 Flash-Lite · Googlebest value
    76.8%
  2. 2Claude Sonnet 4.6 · Anthropic
    74.5%
  3. 3Claude Opus 4.6 · Anthropic
    73.9%

“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 3.1 Flash-Lite p.4 (table also on the model card web page)

    Results as of March 2026, as published in Google's model card. Settings as labelled by Google: 3.1 Flash-Lite High, 2.5 Flash and 2.5 Flash-Lite Dynamic, GPT-5 mini High, Claude 4.5 Haiku Extended Thinking, Grok 4.1 Fast Reasoning. GPT-5 mini CharXiv value is with python.

  • Claude Sonnet 4.6 Table 2.1.A, p.15

    Claude Sonnet 4.6 results are averaged over 10 trials (SWE-bench over 25) with adaptive thinking at max effort and default sampling; Terminal-Bench 2.0 at default thinking. ARC-AGI-2 is 60.4% at high effort. Competitor columns as reported in the card.

  • Claude Opus 4.6 Table 2.3.A, p.18

    Opus 4.6 results average 5 trials (SWE-bench: 25) with adaptive thinking at max effort and default sampling. MCP-Atlas is the max-effort score (62.7% at high). Gemini 3 Pro ARC-AGI-2 is Deep Thinking.

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