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math benchmark

MathVista Leaderboard

MathVista evaluates the mathematical reasoning of foundation models in visual contexts using 6,141 examples.

Updated Sep 5, 2026

Models39
Model coverage39
MetricScore
EvidenceB

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MathVista Ranking

Higher score ranks better on this benchmark.

30 of 39 rows
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelBYSeed 2.1 ProByteDanceScore90.70%Percentile100.00%Participants39EvidenceCEvaluatedSep 8, 2026
Rank02ModelBYSeed 2.1 TurboByteDanceScore90.50%Percentile97.37%Participants39EvidenceCEvaluatedSep 8, 2026
Rank03ModelOPo3OpenAIScore86.80%Percentile94.74%Participants39EvidenceCEvaluatedSep 8, 2026
Rank04ModelOPo4-miniOpenAIScore84.30%Percentile92.11%Participants39EvidenceCEvaluatedSep 8, 2026
Rank05ModelSTStep3-VL-10BStepFunScore84.00%Percentile89.47%Participants39EvidenceCEvaluatedSep 8, 2026
Rank06ModelCOCommand A+CohereScore80.60%Percentile86.84%Participants39EvidenceCEvaluatedSep 8, 2026
Rank07ModelMAKimi-k1.5Moonshot AIScore74.90%Percentile84.21%Participants39EvidenceCEvaluatedSep 8, 2026
Rank08ModelMELlama 4 MaverickMetaScore73.70%Percentile81.58%Participants39EvidenceCEvaluatedSep 8, 2026
Rank09ModelOPGPT-4.1 miniOpenAIScore73.10%Percentile78.95%Participants39EvidenceCEvaluatedSep 8, 2026
Rank10ModelOPGPT-4.5OpenAIScore72.30%Percentile76.32%Participants39EvidenceCEvaluatedSep 8, 2026
Rank11ModelOPGPT-4.1OpenAIScore72.20%Percentile73.68%Participants39EvidenceCEvaluatedSep 8, 2026
Rank12ModelOPo1OpenAIScore71.80%Percentile71.05%Participants39EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQvQ-72B-PreviewAlibaba Cloud / Qwen TeamScore71.40%Percentile68.42%Participants39EvidenceCEvaluatedSep 8, 2026
Rank14ModelMELlama 4 ScoutMetaScore70.70%Percentile65.79%Participants39EvidenceCEvaluatedSep 8, 2026
Rank15ModelMAPixtral LargeMistral AIScore69.40%Percentile63.16%Participants39EvidenceCEvaluatedSep 8, 2026
Rank16ModelXAGrok-2xAIScore69.00%Percentile60.53%Participants39EvidenceCEvaluatedSep 8, 2026
Rank17ModelGOGemini 1.5 ProGoogleScore68.10%Percentile57.89%Participants39EvidenceCEvaluatedSep 8, 2026
Rank18ModelXAGrok-2 minixAIScore68.10%Percentile55.26%Participants39EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore67.90%Percentile52.63%Participants39EvidenceCEvaluatedSep 8, 2026
Rank20ModelANClaude 3.5 SonnetAnthropicScore67.70%Percentile50.00%Participants39EvidenceCEvaluatedSep 8, 2026
Rank21ModelMAMistral Small 3.2 24B InstructMistral AIScore67.09%Percentile47.37%Participants39EvidenceCEvaluatedSep 8, 2026
Rank22ModelGOGemini 1.5 FlashGoogleScore65.80%Percentile44.74%Participants39EvidenceCEvaluatedSep 8, 2026
Rank23ModelOPGPT-4oOpenAIScore63.80%Percentile42.11%Participants39EvidenceCEvaluatedSep 8, 2026
Rank24ModelDEDeepSeek VL2DeepSeekScore62.80%Percentile39.47%Participants39EvidenceCEvaluatedSep 8, 2026
Rank25ModelMIPhi-4-multimodal-instructMicrosoftScore62.40%Percentile36.84%Participants39EvidenceCEvaluatedSep 8, 2026
Rank26ModelOPGPT-4oOpenAIScore61.40%Percentile34.21%Participants39EvidenceCEvaluatedSep 8, 2026
Rank27ModelDEDeepSeek VL2 SmallDeepSeekScore60.70%Percentile31.58%Participants39EvidenceCEvaluatedSep 8, 2026
Rank28ModelMAPixtral-12BMistral AIScore58.00%Percentile28.95%Participants39EvidenceCEvaluatedSep 8, 2026
Rank29ModelMELlama 3.2 90B InstructMetaScore57.30%Percentile26.32%Participants39EvidenceCEvaluatedSep 8, 2026
Rank30ModelOPGPT-4o miniOpenAIScore56.70%Percentile23.68%Participants39EvidenceCEvaluatedSep 8, 2026

MathVista Highlights

The leading models and scores on this benchmark.

MathVista Score Distribution

A closer view of the leading scores on this benchmark.

MathVista

The Top AI Models for MathVista

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

What is MathVista?

What MathVista measures and how its scores work.

MathVista is a benchmark comprising 6,141 examples derived from 28 existing multimodal datasets and three newly created datasets: IQTest, FunctionQA, and PaperQA.

It measures models' ability to understand complex figures and perform rigorous reasoning across diverse mathematical and visual tasks, 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
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.

Which model scores highest on MathVista?

Seed 2.1 Pro is currently ranked first with 90.70%.

What are the top three models on MathVista?

The current leaders are Seed 2.1 Pro (90.70%), Seed 2.1 Turbo (90.50%), and o3 (86.80%).

Which MathVista 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 MathVista results?

The fastest matched records are Llama 4 Scout (776.10 tok/s via Groq), GPT-4.1 mini (467.39 tok/s via OpenAI), and Llama 4 Maverick (307.30 tok/s via Groq).

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 measure?

It measures models' ability to understand complex figures and perform rigorous reasoning across diverse mathematical and visual tasks, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

39 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 #1Seed 2.1 Pro90.70%
Rank #2Seed 2.1 Turbo90.50%
Rank #3o386.80%
Rank #4o4-mini84.30%

Ranking basisThis mathvista 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
    BY
    Seed 2.1 ProByteDance
    Score
    90.70%

    Strengths

    • Ranks #1 of 39 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista, not total model capability
  2. 02
    BY
    Seed 2.1 TurboByteDance
    Score
    90.50%

    Strengths

    • Ranks #2 of 39 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista, not total model capability
  3. 03
    OP
    OpenAI
    Score
    86.80%
    Price
    $2.0 input / $8.0 output per 1M tokens
    Speed
    Up to 50.00 tok/s via OpenAI

    Strengths

    • Ranks #3 of 39 compared models
    • 95th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista, not total model capability
  4. 04
    OP
    OpenAI
    Score
    84.30%
    Price
    $1.1 input / $4.4 output per 1M tokens
    Speed
    Up to 115.00 tok/s via OpenAI

    Strengths

    • Ranks #4 of 39 compared models
    • 92th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista, not total model capability
  5. 05
    ST
    StepFun
    Score
    84.00%

    Strengths

    • Ranks #5 of 39 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MathVista, not total model capability

Selection summary

Best AI Models for MathVista

Seed 2.1 Pro currently leads MathVista with 90.70%. 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.

o3
o4-mini
Step3-VL-10B
Benchmark rank #1Seed 2.1 Pro90.70%
Benchmark rank #2Seed 2.1 Turbo90.50%
Benchmark rank #3o386.80% · $2.0 input / $8.0 output per 1M tokens