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math benchmark

MathVista

MathVista evaluates mathematical reasoning of foundation models in visual contexts. It consists of 6,141 examples derived from 28 existing multimodal datasets and 3 newly created datasets (IQTest, FunctionQA, and PaperQA), combining challenges from diverse mathematical and visual tasks to assess models' ability to understand complex figures and perform rigorous reasoning.

Updated Aug 7, 2026

Published models39
Registry coverage39
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

MathVista leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

39 rows
Columns

Show columns

1BYSeed 2.1 ProByteDance90.7%100.0%39CAug 7, 2026
2BYSeed 2.1 TurboByteDance90.5%97.4%39CAug 7, 2026
3OPo3OpenAI86.8%94.7%39CAug 7, 2026
4OPo4-miniOpenAI84.3%92.1%39CAug 7, 2026
5STStep3-VL-10BStepFun84.0%89.5%39CAug 7, 2026
6COCommand A+Cohere80.6%86.8%39CAug 7, 2026
7MAKimi-k1.5Moonshot AI74.9%84.2%39CAug 7, 2026
8MELlama 4 MaverickMeta73.7%81.6%39CAug 7, 2026
9OPGPT-4.1 miniOpenAI73.1%79.0%39CAug 7, 2026
10OPGPT-4.5OpenAI72.3%76.3%39CAug 7, 2026
11OPGPT-4.1OpenAI72.2%73.7%39CAug 7, 2026
12OPo1OpenAI71.8%71.0%39CAug 7, 2026
13ACQvQ-72B-PreviewAlibaba Cloud / Qwen Team71.4%68.4%39CAug 7, 2026
14MELlama 4 ScoutMeta70.7%65.8%39CAug 7, 2026
15MAPixtral LargeMistral AI69.4%63.2%39CAug 7, 2026
16XAGrok-2xAI69.0%60.5%39CAug 7, 2026
17GOGemini 1.5 ProGoogle68.1%57.9%39CAug 7, 2026
18XAGrok-2 minixAI68.1%55.3%39CAug 7, 2026
19ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team67.9%52.6%39CAug 7, 2026
20ANClaude 3.5 SonnetAnthropic67.7%50.0%39CAug 7, 2026
21MAMistral Small 3.2 24B InstructMistral AI67.1%47.4%39CAug 7, 2026
22GOGemini 1.5 FlashGoogle65.8%44.7%39CAug 7, 2026
23OPGPT-4oOpenAI63.8%42.1%39CAug 7, 2026
24DEDeepSeek VL2DeepSeek62.8%39.5%39CAug 7, 2026
25MIPhi-4-multimodal-instructMicrosoft62.4%36.8%39CAug 7, 2026
26OPGPT-4oOpenAI61.4%34.2%39CAug 7, 2026
27DEDeepSeek VL2 SmallDeepSeek60.7%31.6%39CAug 7, 2026
28MAPixtral-12BMistral AI58.0%28.9%39CAug 7, 2026
29MELlama 3.2 90B InstructMeta57.3%26.3%39CAug 7, 2026
30OPGPT-4o miniOpenAI56.7%23.7%39CAug 7, 2026
31OPGPT-4.1 nanoOpenAI56.2%21.1%39CAug 7, 2026
32GOGemini 1.5 Flash 8BGoogle54.7%18.4%39CAug 7, 2026
33DEDeepSeek VL2 TinyDeepSeek53.6%15.8%39CAug 7, 2026
34XAGrok-1.5xAI52.8%13.2%39CAug 7, 2026
35XAGrok-1.5VxAI52.8%10.5%39CAug 7, 2026
36MELlama 3.2 11B InstructMeta51.5%7.9%39CAug 7, 2026
37GOGemini 1.0 ProGoogle46.6%5.3%39BAug 7, 2026
38MIPhi-3.5-vision-instructMicrosoft43.9%2.6%39CAug 7, 2026
39OPGPT-3.5 TurboOpenAI0.0%0.0%39BAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

MathVista

MathVista highlights

The top published results on this benchmark's own scale.

Rank #1Seed 2.1 Pro90.7%Rank #2Seed 2.1 Turbo90.5%Rank #3o386.8%Rank #4o4-mini84.3%

What is MathVista?

Definition and scoring fields from the benchmark registry.

MathVista evaluates mathematical reasoning of foundation models in visual contexts. It consists of 6,141 examples derived from 28 existing multimodal datasets and 3 newly created datasets (IQTest, FunctionQA, and PaperQA), combining challenges from diverse mathematical and visual tasks to assess models' ability to understand complex figures and perform rigorous reasoning.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
MathVista
Modality
multimodal
Primary category
math
Score direction
higher
LLMBoard eligible
No
Evaluation key
mathvista|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about MathVista.

Which model scores highest on MathVista?

Seed 2.1 Pro is currently ranked first with 90.7%.

What does MathVista measure?

MathVista evaluates mathematical reasoning of foundation models in visual contexts. It consists of 6,141 examples derived from 28 existing multimodal datasets and 3 newly created datasets (IQTest, FunctionQA, and PaperQA), combining challenges from diverse mathematical and visual tasks to assess models' ability to understand complex figures and perform rigorous reasoning.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

39 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
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