Project AURIONAI Use-Cases Research & Innovation

MMMU

College-level multi-discipline questions over images

multimodalactive
6scores
6models
1independent
0maintainer-run
5vendor-reported

Definition

Version
not in the notes
Category
multimodal
Maintainer
MMMU team (OSU/Waterloo et al.), USA/Canada
Status
active
Home page
https://arxiv.org/abs/2311.16502

Sources

  1. huggingface.co/microsoft/Phi-4-reasoning-vision-15B https://huggingface.co/microsoft/Phi-4-reasoning-vision-15B
  2. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI arxiv.org https://arxiv.org/abs/2311.16502
  3. MMMU Leaderboard & Scores , October 2026 benchlm.ai https://www.benchlm.ai/benchmarks/mmmu

Scores

6 of 6 scores shown mmmu-scores.csv
ModelScoreWho ran itSettingView or populationDateSource
AnthropicClaude Fable 5.190.64 %independentVals mirrorVals.ai mirror shown on BenchLM10 Oct 2026benchlm.ai
Google DeepMindGemini 3 Pro87.2 %vendor-reported–rank 1, BenchLM aggregator, top score10 Oct 2026benchlm.ai
AnthropicClaude Opus 473.7 %vendor-reportedWithout extended thinkingAnthropic announcement22 May 2025anthropic.com
Mistral AIPixtral Large64 %vendor-reportedCoTPixtral Large model card18 Nov 2024huggingface.co
ByteDanceBAGEL (BAGEL-7B-MoT)55.3 %vendor-reported–BAGEL model cardMay 2025huggingface.co
Microsoft AIPhi-4-reasoning-vision-15B54.3 %vendor-reported–––huggingface.co
Where this comes from
Scores from different settings, harnesses or dates are not directly comparable; the row says which. Sorted by score, highest first, as a reading aid, not a ranking.

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "MMMU", https://aurion.semai.id/benchmarks/mmmu/, records of October 2026.