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math benchmark

MathVista-Mini Leaderboard

MathVista-Mini is a smaller version of the MathVista benchmark for evaluating mathematical reasoning in visual contexts.

Updated Sep 5, 2026

Models25
Model coverage25
MetricScore
EvidenceB

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MathVista-Mini Ranking

Higher score ranks better on this benchmark.

25 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2.5Moonshot AIScore90.10%Percentile100.00%Participants25EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore87.80%Percentile95.83%Participants25EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore87.40%Percentile91.67%Participants25EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore87.40%Percentile87.50%Participants25EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore86.40%Percentile83.33%Participants25EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore86.20%Percentile79.17%Participants25EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore85.90%Percentile75.00%Participants25EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore85.80%Percentile70.83%Participants25EvidenceCEvaluatedSep 8, 2026
Rank09ModelLAEXAONE 4.5 33BLG AI ResearchScore85.00%Percentile66.67%Participants25EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore84.90%Percentile62.50%Participants25EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore83.80%Percentile58.33%Participants25EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore81.90%Percentile54.17%Participants25EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore81.40%Percentile50.00%Participants25EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore80.10%Percentile45.83%Participants25EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore79.50%Percentile41.67%Participants25EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore77.20%Percentile37.50%Participants25EvidenceCEvaluatedSep 8, 2026
Rank17ModelACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen TeamScore74.80%Percentile33.33%Participants25EvidenceCEvaluatedSep 8, 2026
Rank18ModelACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen TeamScore74.70%Percentile29.17%Participants25EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore73.70%Percentile25.00%Participants25EvidenceCEvaluatedSep 8, 2026
Rank20ModelACQwen2-VL-72B-InstructAlibaba Cloud / Qwen TeamScore70.50%Percentile20.83%Participants25EvidenceCEvaluatedSep 8, 2026
Rank21ModelLALFM2.5-VL-3BLiquid AIScore68.50%Percentile16.67%Participants25EvidenceCEvaluatedSep 8, 2026
Rank22ModelACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen TeamScore68.20%Percentile12.50%Participants25EvidenceCEvaluatedSep 8, 2026
Rank23ModelGOGemma 3 27BGoogleScore67.60%Percentile8.33%Participants25EvidenceCEvaluatedSep 8, 2026
Rank24ModelGOGemma 3 12BGoogleScore62.90%Percentile4.17%Participants25EvidenceCEvaluatedSep 8, 2026
Rank25ModelGOGemma 3 4BGoogleScore50.00%Percentile0.00%Participants25EvidenceCEvaluatedSep 8, 2026

MathVista-Mini Highlights

The leading models and scores on this benchmark.

MathVista-Mini Score Distribution

A closer view of the leading scores on this benchmark.

MathVista-Mini

The Top AI Models for MathVista-Mini

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

What is MathVista-Mini?

What MathVista-Mini measures and how its scores work.

MathVista-Mini consists of examples derived from multimodal datasets involving mathematics and combines diverse mathematical and visual tasks.

It measures the ability to solve problems requiring both visual understanding and mathematical 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
MathVista-Mini
Modality
multimodal
Primary category
math
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 MathVista-Mini.

Which model scores highest on MathVista-Mini?

Kimi K2.5 is currently ranked first with 90.10%.

What are the top three models on MathVista-Mini?

The current leaders are Kimi K2.5 (90.10%), Qwen3.5-27B (87.80%), and Qwen3.5-122B-A10B (87.40%).

Which MathVista-Mini model has the lowest official input price?

Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.

Which models are fastest among MathVista-Mini results?

The fastest matched records are Gemma 3 27B (33.00 tok/s via DeepInfra), Gemma 3 12B (33.00 tok/s via DeepInfra), and Gemma 3 4B (33.00 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 MathVista-Mini measure?

It measures the ability to solve problems requiring both visual understanding and mathematical reasoning, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

25 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 #1Kimi K2.590.10%
Rank #2Qwen3.5-27B87.80%
Rank #3Qwen3.5-122B-A10B87.40%
Rank #4Qwen3.6-27B87.40%

Ranking basisThis mathvista-mini 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
    Kimi K2.5Moonshot AI
    Score
    90.10%

    Strengths

    • Ranks #1 of 25 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista-Mini, not total model capability
  2. 02
    AC
    Qwen3.5-27BAlibaba Cloud / Qwen Team
    Score
    87.80%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #2 of 25 compared models
    • 96th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista-Mini, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    87.40%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #3 of 25 compared models
    • 92th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista-Mini, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    87.40%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #4 of 25 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista-Mini, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    86.40%
    Price
    $0.25 input / $1.5 output per 1M tokens

    Strengths

    • Ranks #5 of 25 compared models
    • 83th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista-Mini, not total model capability

Selection summary

Best AI Models for MathVista-Mini

Kimi K2.5 currently leads MathVista-Mini with 90.10%. 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.

Qwen3.5-122B-A10B
Qwen3.6-27B
Qwen3.6-35B-A3B
Benchmark rank #1Kimi K2.590.10%
Benchmark rank #2Qwen3.5-27B87.80% · $0.30 input / $2.4 output per 1M tokens
Benchmark rank #3Qwen3.5-122B-A10B87.40% · $0.40 input / $3.2 output per 1M tokens