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multimodal benchmark

PerceptionBench Leaderboard

PerceptionBench is Moonshot AI's internal benchmark for evaluating atomic visual perception capabilities.

Updated Aug 17, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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  • Ranking
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  • FAQ

PerceptionBench Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore63.5%Percentile100.0%Participants2EvidenceCEvaluatedAug 17, 2026
Rank02ModelMAKimi K3Moonshot AIScore58.5%Percentile0.0%Participants2EvidenceCEvaluatedAug 17, 2026

PerceptionBench Highlights

The leading models and scores on this benchmark.

Rank #1Qwen3.8 Max63.5%Rank #2Kimi K358.5%

PerceptionBench Score Distribution

A closer view of the leading scores on this benchmark.

PerceptionBench

The Top AI Models for PerceptionBench

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

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

  1. 01
    AC
    Qwen3.8 MaxAlibaba Cloud / Qwen Team
    Score
    63.5%
    Price
    $2.0 input / $6.0 output per 1M tokens

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PerceptionBench, not total model capability
  2. 02
    MA
    Kimi K3Moonshot AI
    Score
    58.5%
    Price
    $3.0 input / $15 output per 1M tokens
    Speed
    Up to 26 tok/s via Fireworks

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures PerceptionBench, not total model capability

Selection summary

Best AI Models for PerceptionBench

Qwen3.8 Max currently leads PerceptionBench with 63.5%. 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.

Benchmark rank #1Qwen3.8 Max63.5% · $2.0 input / $6.0 output per 1M tokensBenchmark rank #2Kimi K358.5% · $3.0 input / $15 output per 1M tokens

What is PerceptionBench?

What PerceptionBench measures and how its scores work.

PerceptionBench is Moonshot AI's internal benchmark for evaluating atomic visual perception capabilities.

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

Family
PerceptionBench
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
perceptionbench|llm-stats-current

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

FAQ

Common questions about PerceptionBench.

Which model scores highest on PerceptionBench?

Qwen3.8 Max is currently ranked first with 63.5%.

What does PerceptionBench measure?

PerceptionBench is Moonshot AI's internal benchmark for evaluating atomic visual perception capabilities.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

2 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.