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multimodal benchmark

V* Leaderboard

V* is a multimodal visual reasoning benchmark for evaluating inference on challenging spatial and grounded tasks.

Updated Sep 5, 2026

Models7
Model coverage7
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
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  • FAQ

V* Ranking

Higher score ranks better on this benchmark.

7 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2.6Moonshot AIScore96.90%Percentile100.00%Participants7EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore96.90%Percentile83.33%Participants7EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore94.70%Percentile66.67%Participants7EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore93.70%Percentile50.00%Participants7EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore93.20%Percentile33.33%Participants7EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore92.70%Percentile16.67%Participants7EvidenceCEvaluatedSep 8, 2026
Rank07ModelZAGLM-5V-TurboZhipu AIScore89.00%Percentile0.00%Participants7EvidenceCEvaluatedSep 8, 2026

V* Highlights

The leading models and scores on this benchmark.

Rank #1Kimi K2.696.90%Rank #2Qwen3.6 Plus96.90%Rank #3Qwen3.6-27B94.70%Rank #4Qwen3.5-27B93.70%

V* Score Distribution

A closer view of the leading scores on this benchmark.

V*

The Top AI Models for V*

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

Ranking basisThis v* 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
    MA
    Moonshot AI
    Score
    96.90%
    Price
    $0.95 input / $4.0 output per 1M tokens
    Speed
    Up to 1.24 tok/s via Moonshot AI

    Strengths

    • Ranks #1 of 7 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures V*, not total model capability
  2. 02
    AC
    Alibaba Cloud / Qwen Team
    Score
    96.90%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #2 of 7 compared models
    • 83th percentile on this benchmark
    • C evidence result

    Considerations

What is V*?

What V* measures and how its scores work.

V* is a visual reasoning benchmark in the multimodal category.

V* measures multimodal inference on challenging spatial and grounded tasks 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
V*
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 V*.

Which model scores highest on V*?

Kimi K2.6 is currently ranked first with 96.90%.

What are the top three models on V*?

The current leaders are Kimi K2.6 (96.90%), Qwen3.6 Plus (96.90%), and Qwen3.6-27B (94.70%).

Which V* model has the lowest official input price?

Qwen3.5-35B-A3B has the lowest matched official input price at $0.25 input / $2.0 output per 1M tokens.

Which models are fastest among V* results?

The fastest matched records are Kimi K2.6 (1.24 tok/s via Moonshot AI).

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 V* measure?

V* measures multimodal inference on challenging spatial and grounded tasks 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?

7 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.

  • This result measures V*, not total model capability
  • 03
    AC
    Qwen3.6-27BAlibaba Cloud / Qwen Team
    Score
    94.70%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #3 of 7 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures V*, not total model capability
  • 04
    AC
    Qwen3.5-27BAlibaba Cloud / Qwen Team
    Score
    93.70%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #4 of 7 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures V*, not total model capability
  • 05
    AC
    Qwen3.5-122B-A10BAlibaba Cloud / Qwen Team
    Score
    93.20%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #5 of 7 compared models
    • 33th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures V*, not total model capability

    • Selection summary

    Best AI Models for V*

    Kimi K2.6 currently leads V* with 96.90%. 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 #1Kimi K2.696.90% · $0.95 input / $4.0 output per 1M tokensBenchmark rank #2Qwen3.6 Plus96.90% · $0.50 input / $3.0 output per 1M tokensBenchmark rank #3Qwen3.6-27B94.70% · $0.60 input / $3.6 output per 1M tokens
    Kimi K2.6
    Qwen3.6 Plus