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multimodal benchmark

MuirBench Leaderboard

MuirBench is a multimodal benchmark for evaluating multi-image understanding across 12 tasks covering 10 categories of multi-image relations.

Updated Sep 5, 2026

Models12
Model coverage12
MetricScore
EvidenceB

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  • Ranking
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  • FAQ

MuirBench Ranking

Higher score ranks better on this benchmark.

12 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore80.30%Percentile100.00%Participants12EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore80.10%Percentile90.91%Participants12EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore77.60%Percentile81.82%Participants12EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore76.80%Percentile72.73%Participants12EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore75.00%Percentile63.64%Participants12EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore72.80%Percentile54.55%Participants12EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore72.80%Percentile45.45%Participants12EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore64.40%Percentile36.36%Participants12EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore63.80%Percentile27.27%Participants12EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore62.90%Percentile18.18%Participants12EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore59.20%Percentile9.09%Participants12EvidenceCEvaluatedSep 8, 2026
Rank12ModelLALFM2.5-VL-3BLiquid AIScore58.30%Percentile0.00%Participants12EvidenceCEvaluatedSep 8, 2026

MuirBench Highlights

The leading models and scores on this benchmark.

MuirBench Score Distribution

A closer view of the leading scores on this benchmark.

MuirBench

The Top AI Models for MuirBench

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

What is MuirBench?

What MuirBench measures and how its scores work.

MuirBench consists of 11,264 images and 2,600 multiple-choice questions created in a pairwise manner, with each standard instance paired with an unanswerable variant.

It measures multi-image understanding capabilities using the Score metric, reported as a ratio.

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

Family
MuirBench
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 MuirBench.

Which model scores highest on MuirBench?

Qwen3 VL 32B Thinking is currently ranked first with 80.30%.

What are the top three models on MuirBench?

The current leaders are Qwen3 VL 32B Thinking (80.30%), Qwen3 VL 235B A22B Thinking (80.10%), and Qwen3 VL 30B A3B Thinking (77.60%).

Which MuirBench model has the lowest official input price?

Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.

Which models are fastest among MuirBench results?

The fastest matched records are Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).

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 MuirBench measure?

It measures multi-image understanding capabilities using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

12 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 32B Thinking80.30%
Rank #2Qwen3 VL 235B A22B Thinking80.10%
Rank #3Qwen3 VL 30B A3B Thinking77.60%
Rank #4Qwen3 VL 8B Thinking76.80%

Ranking basisThis muirbench 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 32B ThinkingAlibaba Cloud / Qwen Team
    Score
    80.30%

    Strengths

    • Ranks #1 of 12 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MuirBench, not total model capability
  2. 02
    AC
    Qwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team
    Score
    80.10%

    Strengths

    • Ranks #2 of 12 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MuirBench, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    77.60%

    Strengths

    • Ranks #3 of 12 compared models
    • 82th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MuirBench, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    76.80%

    Strengths

    • Ranks #4 of 12 compared models
    • 73th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MuirBench, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    75.00%
    Speed
    Up to 8.77 tok/s via DeepInfra

    Strengths

    • Ranks #5 of 12 compared models
    • 64th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MuirBench, not total model capability

Selection summary

Best AI Models for MuirBench

Qwen3 VL 32B Thinking currently leads MuirBench with 80.30%. 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.

Qwen3 VL 30B A3B Thinking
Qwen3 VL 8B Thinking
Qwen3 VL 4B Thinking
Benchmark rank #1Qwen3 VL 32B Thinking80.30%
Benchmark rank #2Qwen3 VL 235B A22B Thinking80.10%
Benchmark rank #3Qwen3 VL 30B A3B Thinking77.60%