llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

multimodal benchmark

MMMUval Leaderboard

MMMUval is the validation set for the MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning) benchmark.

Updated Sep 5, 2026

Models4
Model coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

MMMUval Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore80.60%Percentile100.00%Participants4EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore78.70%Percentile66.67%Participants4EvidenceCEvaluatedSep 8, 2026
Rank03ModelANClaude Sonnet 4.5AnthropicScore77.80%Percentile33.33%Participants4EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen2-VL-72B-InstructAlibaba Cloud / Qwen TeamScore64.50%Percentile0.00%Participants4EvidenceCEvaluatedSep 8, 2026

MMMUval Highlights

The leading models and scores on this benchmark.

MMMUval Score Distribution

A closer view of the leading scores on this benchmark.

MMMUval

The Top AI Models for MMMUval

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is MMMUval?

What MMMUval measures and how its scores work.

MMMUval is a multimodal benchmark validation set covering Art & Design, Business, Science, Health & Medicine, Humanities & Social Science, and Tech & Engineering.

It measures multimodal understanding and reasoning on tasks requiring college-level subject knowledge and deliberate reasoning, reported as a Score ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
MMMUval
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about MMMUval.

Which model scores highest on MMMUval?

Qwen3 VL 235B A22B Thinking is currently ranked first with 80.60%.

What are the top three models on MMMUval?

The current leaders are Qwen3 VL 235B A22B Thinking (80.60%), Qwen3 VL 235B A22B Instruct (78.70%), and Claude Sonnet 4.5 (77.80%).

Which MMMUval model has the lowest official input price?

Claude Sonnet 4.5 has the lowest matched official input price at $3.0 input / $15 output per 1M tokens.

Which models are fastest among MMMUval results?

The fastest matched records are Claude Sonnet 4.5 (42.00 tok/s via Anthropic).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does MMMUval measure?

It measures multimodal understanding and reasoning on tasks requiring college-level subject knowledge and deliberate reasoning, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Qwen3 VL 235B A22B Thinking80.60%
Rank #2Qwen3 VL 235B A22B Instruct78.70%
Rank #3Claude Sonnet 4.577.80%
Rank #4Qwen2-VL-72B-Instruct64.50%

Ranking basisThis mmmuval AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team
    Score
    80.60%

    Strengths

    • Ranks #1 of 4 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMMUval, not total model capability
  2. 02
    AC
    Qwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team
    Score
    78.70%

    Strengths

    • Ranks #2 of 4 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMMUval, not total model capability
  3. 03
    AN
    Anthropic
    Score
    77.80%
    Price
    $3.0 input / $15 output per 1M tokens
    Speed
    Up to 42.00 tok/s via Anthropic

    Strengths

    • Ranks #3 of 4 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMMUval, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    64.50%

    Strengths

    • Ranks #4 of 4 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMMUval, not total model capability

Selection summary

Best AI Models for MMMUval

Qwen3 VL 235B A22B Thinking currently leads MMMUval with 80.60%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Claude Sonnet 4.5
Qwen2-VL-72B-Instruct
Benchmark rank #1Qwen3 VL 235B A22B Thinking80.60%
Benchmark rank #2Qwen3 VL 235B A22B Instruct78.70%
Benchmark rank #3Claude Sonnet 4.577.80% · $3.0 input / $15 output per 1M tokens