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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 11, 2026

Models71
Model coverage71
MetricScore
EvidenceB

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MATH Ranking

Higher score ranks better on this benchmark.

71 rows
Columns

Show columns

01OPo3-miniOpenAI97.9%100.0%71CAug 11, 2026
02OPo1OpenAI96.4%98.6%71CAug 11, 2026
03MAMiniStral 3 (14B Instruct 2512)Mistral AI90.4%97.1%71CAug 11, 2026
04MAMistral Large 3Mistral AI90.4%95.7%71CAug 11, 2026
05GOGemini 2.0 FlashGoogle89.7%94.3%71CAug 11, 2026
06MAKimi K2 0905Moonshot AI89.1%92.9%71CAug 11, 2026
07GOGemma 3 27BGoogle89.0%91.4%71CAug 11, 2026
08MAMinistral 3 (8B Instruct 2512)Mistral AI87.6%90.0%71CAug 11, 2026
09GOGemini 2.0 Flash-LiteGoogle86.8%88.6%71CAug 11, 2026
10GOGemini 1.5 ProGoogle86.5%87.1%71CAug 11, 2026
11XIMiMo-V2.5-ProXiaomi86.2%85.7%71CAug 11, 2026
12OPo1-previewOpenAI85.5%84.3%71CAug 11, 2026
13OPGPT-5OpenAI84.7%82.9%71CAug 11, 2026
14GOGemma 3 12BGoogle83.8%81.4%71CAug 11, 2026
15ACQwen2.5 32B InstructAlibaba Cloud / Qwen Team83.1%80.0%71CAug 11, 2026
16ACQwen2.5 72B InstructAlibaba Cloud / Qwen Team83.1%78.6%71CAug 11, 2026
17MAMinistral 3 (3B Instruct 2512)Mistral AI83.0%77.1%71CAug 11, 2026
18ACQwen2.5 VL 32B InstructAlibaba Cloud / Qwen Team82.2%75.7%71CAug 11, 2026
19MIPhi 4Microsoft80.4%74.3%71CAug 11, 2026
20ACQwen2.5 14B InstructAlibaba Cloud / Qwen Team80.0%72.9%71CAug 11, 2026
21ANClaude 3.5 SonnetAnthropic78.3%71.4%71CAug 11, 2026
22GOGemini 1.5 FlashGoogle77.9%70.0%71CAug 11, 2026
23MELlama 3.3 70B InstructMeta77.0%68.6%71CAug 11, 2026
24OPGPT-4oOpenAI76.6%67.1%71CAug 11, 2026
25AMNova ProAmazon76.6%65.7%71CAug 11, 2026
26XAGrok-2xAI76.1%64.3%71CAug 11, 2026
27GOGemma 3 4BGoogle75.6%62.9%71CAug 11, 2026
28ACQwen2.5 7B InstructAlibaba Cloud / Qwen Team75.5%61.4%71CAug 11, 2026
29DEDeepSeek-V2.5DeepSeek74.7%60.0%71CAug 11, 2026
30MELlama 3.1 405B InstructMeta73.8%58.6%71CAug 11, 2026
31AMNova LiteAmazon73.3%57.1%71CAug 11, 2026
32XAGrok-2 minixAI73.0%55.7%71CAug 11, 2026
33OPGPT-4 TurboOpenAI72.6%54.3%71CAug 11, 2026
34ACQwen3 235B A22BAlibaba Cloud / Qwen Team71.8%52.9%71CAug 11, 2026
35ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team71.5%51.4%71CAug 11, 2026
36ANClaude 3.5 SonnetAnthropic71.1%50.0%71CAug 11, 2026
37MAMistral Small 3 24B InstructMistral AI70.6%48.6%71CAug 11, 2026
38OPGPT-4o miniOpenAI70.2%47.1%71CAug 11, 2026
39MAKimi K2 BaseMoonshot AI70.2%45.7%71CAug 11, 2026
40MAMistral Small 3.2 24B InstructMistral AI69.4%44.3%71CAug 11, 2026
41ANClaude 3.5 HaikuAnthropic69.4%42.9%71CAug 11, 2026
42MAMistral Small 3.1 24B InstructMistral AI69.3%41.4%71CAug 11, 2026
43AMNova MicroAmazon69.3%40.0%71CAug 11, 2026
44MELlama 3.2 90B InstructMeta68.0%38.6%71CAug 11, 2026
45MIPhi 4 MiniMicrosoft64.0%37.1%71CAug 11, 2026
46MELlama 4 MaverickMeta61.2%35.7%71CAug 11, 2026
47ANClaude 3 OpusAnthropic60.1%34.3%71CAug 11, 2026
48ACQwen2 72B InstructAlibaba Cloud / Qwen Team59.7%32.9%71CAug 11, 2026
49MIPhi-3.5-MoE-instructMicrosoft59.5%31.4%71CAug 11, 2026
50GOGemini 1.5 Flash 8BGoogle58.7%30.0%71CAug 11, 2026
51ACQwen2.5-Coder 32B InstructAlibaba Cloud / Qwen Team57.2%28.6%71CAug 11, 2026
52MAMinistral 8B InstructMistral AI54.5%27.1%71CAug 11, 2026
53MELlama 3.2 11B InstructMeta51.9%25.7%71CAug 11, 2026
54XAGrok-1.5xAI50.6%24.3%71CAug 11, 2026
55MELlama 4 ScoutMeta50.3%22.9%71CAug 11, 2026
56ACQwen2 7B InstructAlibaba Cloud / Qwen Team49.6%21.4%71CAug 11, 2026
57MIPhi-3.5-mini-instructMicrosoft48.5%20.0%71CAug 11, 2026
58MAPixtral-12BMistral AI48.1%18.6%71CAug 11, 2026
59GOGemma 3 1BGoogle48.0%17.1%71CAug 11, 2026
60MELlama 3.2 3B InstructMeta48.0%15.7%71CAug 11, 2026
61ACQwen2.5-Coder 7B InstructAlibaba Cloud / Qwen Team46.6%14.3%71CAug 11, 2026
62MAMistral Small 3 24B BaseMistral AI46.0%12.9%71CAug 11, 2026
63ANClaude 3 SonnetAnthropic43.1%11.4%71CAug 11, 2026
64OPGPT-3.5 TurboOpenAI43.1%10.0%71BAug 11, 2026
65GOGemma 2 27BGoogle42.3%8.6%71CAug 11, 2026
66OPGPT-4OpenAI42.0%7.1%71CAug 11, 2026
67ANClaude 3 HaikuAnthropic38.9%5.7%71CAug 11, 2026
68GOGemma 2 9BGoogle36.6%4.3%71CAug 11, 2026
69GOGemini 1.0 ProGoogle32.6%2.9%71BAug 11, 2026
70NRHermes 3 70BNous Research20.8%1.4%71CAug 11, 2026
71BAERNIE 4.5Baidu12.4%0.0%71CAug 11, 2026

MATH Score Distribution

A closer view of the leading scores on this benchmark.

MATH

MATH Highlights

The leading models and scores on this benchmark.

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

What is MATH?

What MATH measures and how its scores work.

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. This benchmark is not independently verified and has an evidence level of B.

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

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

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 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.