Artificial Analysis MMMU-Pro (AA-MMMU-Pro)
An Artificial Analysis MMMU-Pro score.
Top models on AA-MMMU-Pro — September 27, 2026
As of September 27, 2026, Claude Opus 5.5 leads the AA-MMMU-Pro leaderboard with 87.7% , followed by GPT-6 Astra (86.9%) and Gemini 3.8 Flash (85.6%).
Claude Opus 5.5
Anthropic
GPT-6 Astra
OpenAI
Gemini 3.8 Flash
110 modelsMultimodal & Grounded15% of category scoreCurrentUpdated September 27, 2026
Leaderboard (110 models)
ScoreAccording to BenchLM.ai, Claude Opus 5.5 leads the AA-MMMU-Pro benchmark with a score of 87.7%, followed by GPT-6 Astra (86.9%) and Gemini 3.8 Flash (85.6%). The top models are clustered within 2.1 points, suggesting this benchmark is nearing saturation for frontier models.
110 models have been evaluated on AA-MMMU-Pro. The benchmark falls in the Multimodal & Grounded category. The Multimodal & Grounded leaderboard ranks models by a weighted category score, and AA-MMMU-Pro contributes 15% of it. It does not enter the overall BenchAlign v5.7 ranking.
About AA-MMMU-Pro
Year
2026
Tasks
Multimodal academic reasoning
Format
Image + text question answering
Difficulty
Frontier multimodal
BenchLM stores the Artificial Analysis MMMU-Pro result separately from the core MMMU-Pro lane because Artificial Analysis controls the evaluation configuration.
Freshness and provenance
Version
AA-MMMU-Pro 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does AA-MMMU-Pro measure?
An Artificial Analysis MMMU-Pro score.
Which model scores highest on AA-MMMU-Pro?
Claude Opus 5.5 by Anthropic currently leads with a score of 87.7% on AA-MMMU-Pro.
How many models are evaluated on AA-MMMU-Pro?
110 AI models have been evaluated on AA-MMMU-Pro on BenchLM.
Compare top models on AA-MMMU-Pro
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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