MQ
MODELQUEST
choose the right AI for the quest
Gemini 3.1 Pro · API · High thinking
Evidenceacceptedindependent_lab

MMMU-Pro

Artificial Analysis — MMMU-Pro (Gemini 3.1 Pro Preview)

ev_2026_07_gem31pro_aa_mmmu

Result
Configuration

How it was measured

Exact model
gemini-3.1-pro-preview
Reasoning
high
Agent harness
none
Tool access
none (no-tools academic multimodal)
Prompting
Artificial Analysis MMMU-Pro protocol

PRIMARY UI / multimodal — independent Artificial Analysis MMMU-Pro. AA and secondary press report Gemini 3.1 Pro Preview at ~82% (second to Gemini 3.5 Flash high ~84% on later boards). Unlocks Gemini slot_ui_visual.

Caveats

Known limitations

  • Academic multimodal score — not a pure Figma/UI craft preference test.
  • Float transcribed from AA leaderboard coverage (chart + secondary AA-sourced reports).
  • High/thinking config — not Flash.
Weighting

Evidence weight factors

The engine weights each evidence row by these factors (0–1) when fusing scores — higher is more trusted.

relevance0.95
quality1.00
recency1.00
health0.85
comparability0.90
reliability0.85
Benchmark

MMMU-Pro

Multimodal understanding and reasoning: college-level questions that require interpreting images (diagrams, charts, photos, figures) alongside text. MMMU-Pro is a harder, cleaner follow-on to MMMU that reduces shortcut strategies. Primary ModelQuest signal for visual / UI-relevant understanding when formal design rubrics are unavailable.

Benchmark source →