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math benchmark

MATH

MATH dataset contains 12,500 challenging competition mathematics problems from AMC 10, AMC 12, AIME, and other mathematics competitions. Each problem includes full step-by-step solutions and spans multiple difficulty levels (1-5) across seven mathematical subjects including Prealgebra, Algebra, Number Theory, Counting and Probability, Geometry, Intermediate Algebra, and Precalculus.

Updated Aug 7, 2026

Published models71
Registry coverage71
MetricScore
EvidenceB

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MATH leaderboard

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

71 rows
Columns

Show columns

1OPo3-miniOpenAI97.9%100.0%71CAug 7, 2026
2OPo1OpenAI96.4%98.6%71CAug 7, 2026
3MAMiniStral 3 (14B Instruct 2512)Mistral AI90.4%97.1%71CAug 7, 2026
4MAMistral Large 3Mistral AI90.4%95.7%71CAug 7, 2026
5GOGemini 2.0 FlashGoogle89.7%94.3%71CAug 7, 2026
6MAKimi K2 0905Moonshot AI89.1%92.9%71CAug 7, 2026
7GOGemma 3 27BGoogle89.0%91.4%71CAug 7, 2026
8MAMinistral 3 (8B Instruct 2512)Mistral AI87.6%90.0%71CAug 7, 2026
9GOGemini 2.0 Flash-LiteGoogle86.8%88.6%71CAug 7, 2026
10GOGemini 1.5 ProGoogle86.5%87.1%71CAug 7, 2026
11XIMiMo-V2.5-ProXiaomi86.2%85.7%71CAug 7, 2026
12OPo1-previewOpenAI85.5%84.3%71CAug 7, 2026
13OPGPT-5OpenAI84.7%82.9%71CAug 7, 2026
14GOGemma 3 12BGoogle83.8%81.4%71CAug 7, 2026
15ACQwen2.5 32B InstructAlibaba Cloud / Qwen Team83.1%80.0%71CAug 7, 2026
16ACQwen2.5 72B InstructAlibaba Cloud / Qwen Team83.1%78.6%71CAug 7, 2026
17MAMinistral 3 (3B Instruct 2512)Mistral AI83.0%77.1%71CAug 7, 2026
18ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team82.2%75.7%71CAug 7, 2026
19MIPhi 4Microsoft80.4%74.3%71CAug 7, 2026
20ACQwen2.5 14B InstructAlibaba Cloud / Qwen Team80.0%72.9%71CAug 7, 2026
21ANClaude 3.5 SonnetAnthropic78.3%71.4%71CAug 7, 2026
22GOGemini 1.5 FlashGoogle77.9%70.0%71CAug 7, 2026
23MELlama 3.3 70B InstructMeta77.0%68.6%71CAug 7, 2026
24OPGPT-4oOpenAI76.6%67.1%71CAug 7, 2026
25AMNova ProAmazon76.6%65.7%71CAug 7, 2026
26XAGrok-2xAI76.1%64.3%71CAug 7, 2026
27GOGemma 3 4BGoogle75.6%62.9%71CAug 7, 2026
28ACQwen2.5 7B InstructAlibaba Cloud / Qwen Team75.5%61.4%71CAug 7, 2026
29DEDeepSeek-V2.5DeepSeek74.7%60.0%71CAug 7, 2026
30MELlama 3.1 405B InstructMeta73.8%58.6%71CAug 7, 2026
31AMNova LiteAmazon73.3%57.1%71CAug 7, 2026
32XAGrok-2 minixAI73.0%55.7%71CAug 7, 2026
33OPGPT-4 TurboOpenAI72.6%54.3%71CAug 7, 2026
34ACQwen3 235B A22BAlibaba Cloud / Qwen Team71.8%52.9%71CAug 7, 2026
35ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team71.5%51.4%71CAug 7, 2026
36ANClaude 3.5 SonnetAnthropic71.1%50.0%71CAug 7, 2026
37MAMistral Small 3 24B InstructMistral AI70.6%48.6%71CAug 7, 2026
38OPGPT-4o miniOpenAI70.2%47.1%71CAug 7, 2026
39MAKimi K2 BaseMoonshot AI70.2%45.7%71CAug 7, 2026
40MAMistral Small 3.2 24B InstructMistral AI69.4%44.3%71CAug 7, 2026
41ANClaude 3.5 HaikuAnthropic69.4%42.9%71CAug 7, 2026
42MAMistral Small 3.1 24B InstructMistral AI69.3%41.4%71CAug 7, 2026
43AMNova MicroAmazon69.3%40.0%71CAug 7, 2026
44MELlama 3.2 90B InstructMeta68.0%38.6%71CAug 7, 2026
45MIPhi 4 MiniMicrosoft64.0%37.1%71CAug 7, 2026
46MELlama 4 MaverickMeta61.2%35.7%71CAug 7, 2026
47ANClaude 3 OpusAnthropic60.1%34.3%71CAug 7, 2026
48ACQwen2 72B InstructAlibaba Cloud / Qwen Team59.7%32.9%71CAug 7, 2026
49MIPhi-3.5-MoE-instructMicrosoft59.5%31.4%71CAug 7, 2026
50GOGemini 1.5 Flash 8BGoogle58.7%30.0%71CAug 7, 2026
51ACQwen2.5-Coder 32B InstructAlibaba Cloud / Qwen Team57.2%28.6%71CAug 7, 2026
52MAMinistral 8B InstructMistral AI54.5%27.1%71CAug 7, 2026
53MELlama 3.2 11B InstructMeta51.9%25.7%71CAug 7, 2026
54XAGrok-1.5xAI50.6%24.3%71CAug 7, 2026
55MELlama 4 ScoutMeta50.3%22.9%71CAug 7, 2026
56ACQwen2 7B InstructAlibaba Cloud / Qwen Team49.6%21.4%71CAug 7, 2026
57MIPhi-3.5-mini-instructMicrosoft48.5%20.0%71CAug 7, 2026
58MAPixtral-12BMistral AI48.1%18.6%71CAug 7, 2026
59GOGemma 3 1BGoogle48.0%17.1%71CAug 7, 2026
60MELlama 3.2 3B InstructMeta48.0%15.7%71CAug 7, 2026
61ACQwen2.5-Coder 7B InstructAlibaba Cloud / Qwen Team46.6%14.3%71CAug 7, 2026
62MAMistral Small 3 24B BaseMistral AI46.0%12.9%71CAug 7, 2026
63ANClaude 3 SonnetAnthropic43.1%11.4%71CAug 7, 2026
64OPGPT-3.5 TurboOpenAI43.1%10.0%71BAug 7, 2026
65GOGemma 2 27BGoogle42.3%8.6%71CAug 7, 2026
66OPGPT-4OpenAI42.0%7.1%71CAug 7, 2026
67ANClaude 3 HaikuAnthropic38.9%5.7%71CAug 7, 2026
68GOGemma 2 9BGoogle36.6%4.3%71CAug 7, 2026
69GOGemini 1.0 ProGoogle32.6%2.9%71BAug 7, 2026
70NRHermes 3 70BNous Research20.8%1.4%71CAug 7, 2026
71BAERNIE 4.5Baidu12.4%0.0%71CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

MATH

MATH highlights

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

Rank #1o3-mini97.9%Rank #2o196.4%Rank #3MiniStral 3 (14B Instruct 2512)90.4%Rank #4Mistral Large 390.4%

What is MATH?

Definition and scoring fields from the benchmark registry.

MATH dataset contains 12,500 challenging competition mathematics problems from AMC 10, AMC 12, AIME, and other mathematics competitions. Each problem includes full step-by-step solutions and spans multiple difficulty levels (1-5) across seven mathematical subjects including Prealgebra, Algebra, Number Theory, Counting and Probability, Geometry, Intermediate Algebra, and Precalculus.

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

Family
MATH
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
math|llm-stats-current

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

FAQ

Common questions about MATH.

Which model scores highest on MATH?

o3-mini is currently ranked first with 97.9%.

What does MATH measure?

MATH dataset contains 12,500 challenging competition mathematics problems from AMC 10, AMC 12, AIME, and other mathematics competitions. Each problem includes full step-by-step solutions and spans multiple difficulty levels (1-5) across seven mathematical subjects including Prealgebra, Algebra, Number Theory, Counting and Probability, Geometry, Intermediate Algebra, and Precalculus.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

71 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is marked as eligible for the current LLMBoard capability methodology.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
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