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math benchmark

MathVision

MATH-Vision is a dataset designed to measure multimodal mathematical reasoning capabilities. It focuses on evaluating how well models can solve mathematical problems that require both visual understanding and mathematical reasoning, bridging the gap between visual and mathematical domains.

Updated Aug 7, 2026

Published models32
Registry coverage32
MetricScore
EvidenceB

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  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

MathVision leaderboard

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

32 rows
Columns

Show columns

1MAKimi K3Moonshot AI97.8%100.0%32CAug 7, 2026
2BYSeed 2.1 ProByteDance94.5%96.8%32CAug 7, 2026
3MAKimi K2.6Moonshot AI93.2%93.5%32CAug 7, 2026
4BYSeed 2.1 TurboByteDance92.7%90.3%32CAug 7, 2026
5ACQwen3.7-PlusAlibaba Cloud / Qwen Team90.3%87.1%32CAug 7, 2026
6ACQwen3.6 PlusAlibaba Cloud / Qwen Team88.0%83.9%32CAug 7, 2026
7ACQwen3.5-122B-A10BAlibaba Cloud / Qwen Team86.2%80.7%32CAug 7, 2026
8ACQwen3.5-27BAlibaba Cloud / Qwen Team86.0%77.4%32CAug 7, 2026
9GOGemma 4 31BGoogle85.6%74.2%32CAug 7, 2026
10MAKimi K2.5Moonshot AI84.2%71.0%32CAug 7, 2026
11ACQwen3.5-35B-A3BAlibaba Cloud / Qwen Team83.9%67.7%32CAug 7, 2026
12GOGemma 4 26B-A4BGoogle82.4%64.5%32CAug 7, 2026
13GOGemma 4 12BGoogle79.7%61.3%32CAug 7, 2026
14ACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen Team74.6%58.1%32CAug 7, 2026
15STStep3-VL-10BStepFun70.8%54.8%32CAug 7, 2026
16GODiffusionGemma 26B-A4BGoogle70.5%51.6%32CAug 7, 2026
17ACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen Team70.2%48.4%32CAug 7, 2026
18ACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen Team66.5%45.2%32CAug 7, 2026
19ACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen Team65.7%41.9%32CAug 7, 2026
20ACQwen3 VL 32B InstructAlibaba Cloud / Qwen Team63.4%38.7%32CAug 7, 2026
21ACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen Team62.7%35.5%32CAug 7, 2026
22ACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen Team60.2%32.3%32CAug 7, 2026
23ACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen Team60.0%29.0%32CAug 7, 2026
24GOGemma 4 E4BGoogle59.5%25.8%32CAug 7, 2026
25ACQwen3 VL 8B InstructAlibaba Cloud / Qwen Team53.9%22.6%32CAug 7, 2026
26GOGemma 4 E2BGoogle52.4%19.4%32CAug 7, 2026
27ACQwen3 VL 4B InstructAlibaba Cloud / Qwen Team51.6%16.1%32CAug 7, 2026
28ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team38.4%12.9%32CAug 7, 2026
29ACQwen2.5 VL 72B InstructAlibaba Cloud / Qwen Team38.1%9.7%32CAug 7, 2026
30ACQvQ-72B-PreviewAlibaba Cloud / Qwen Team35.9%6.5%32CAug 7, 2026
31ACQwen2.5 VL 7B InstructAlibaba Cloud / Qwen Team25.1%3.2%32CAug 7, 2026
32ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team25.0%0.0%32CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

MathVision

MathVision highlights

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

Rank #1Kimi K397.8%Rank #2Seed 2.1 Pro94.5%Rank #3Kimi K2.693.2%Rank #4Seed 2.1 Turbo92.7%

What is MathVision?

Definition and scoring fields from the benchmark registry.

MATH-Vision is a dataset designed to measure multimodal mathematical reasoning capabilities. It focuses on evaluating how well models can solve mathematical problems that require both visual understanding and mathematical reasoning, bridging the gap between visual and mathematical domains.

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

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

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

FAQ

Common questions about MathVision.

Which model scores highest on MathVision?

Kimi K3 is currently ranked first with 97.8%.

What does MathVision measure?

MATH-Vision is a dataset designed to measure multimodal mathematical reasoning capabilities. It focuses on evaluating how well models can solve mathematical problems that require both visual understanding and mathematical reasoning, bridging the gap between visual and mathematical domains.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

32 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

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