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math benchmark

AIME 2025 Leaderboard

All 30 problems from the 2025 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.

Updated Aug 17, 2026

Models100
Model coverage115
MetricScore
EvidenceC

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AIME 2025 Ranking

Higher score ranks better on this benchmark.

30 of 100 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 3 ProGoogleScore100.0%Percentile100.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank02ModelOPGPT-5.2OpenAIScore100.0%Percentile99.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank03ModelOPGPT-5.2 ProOpenAIScore100.0%Percentile98.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank04ModelXAGrok-4 HeavyxAIScore100.0%Percentile97.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank05ModelMAKimi K2-Thinking-0905Moonshot AIScore100.0%Percentile96.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank06ModelANClaude Opus 4.6AnthropicScore99.8%Percentile95.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank07ModelGOGemini 3 FlashGoogleScore99.7%Percentile94.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank08ModelOPGPT-5.1 HighOpenAIScore99.6%Percentile93.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank09ModelMELongCat-Flash-Thinking-2601MeituanScore99.6%Percentile93.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank10ModelNVNemotron 3 Nano (30B A3B)NVIDIAScore99.2%Percentile92.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank11ModelOPGPT OSS 20B HighOpenAIScore98.7%Percentile91.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank12ModelOPGPT-5.1 MediumOpenAIScore98.4%Percentile90.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank13ModelBYSeed 2.0 ProByteDanceScore98.3%Percentile89.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank14ModelSTStep-3.5-FlashStepFunScore97.3%Percentile88.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank15ModelMIMAI-Thinking-1MicrosoftScore97.0%Percentile87.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank16ModelOPGPT-5.1 Codex HighOpenAIScore96.7%Percentile86.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank17ModelSASarvam-105BSarvam AIScore96.7%Percentile86.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank18ModelSASarvam-30BSarvam AIScore96.7%Percentile85.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank19ModelMAKimi K2.5Moonshot AIScore96.1%Percentile84.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank20ModelDEDeepSeek-V3.2-SpecialeDeepSeekScore96.0%Percentile83.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank21ModelZAGLM-4.7Zhipu AIScore95.7%Percentile82.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank22ModelOPGPT-5OpenAIScore94.6%Percentile81.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank23ModelOPGPT-5 HighOpenAIScore94.6%Percentile80.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank24ModelXIMiMo-V2-FlashXiaomiScore94.1%Percentile79.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank25ModelOPGPT-5.1OpenAIScore94.0%Percentile79.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank26ModelOPGPT-5.1 InstantOpenAIScore94.0%Percentile78.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank27ModelOPGPT-5.1 ThinkingOpenAIScore94.0%Percentile77.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank28ModelZAGLM-4.6Zhipu AIScore93.9%Percentile76.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank29ModelXAGrok-3xAIScore93.3%Percentile75.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank30ModelDEDeepSeek-V3.2 (Thinking)DeepSeekScore93.1%Percentile74.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank31ModelDEDeepSeek-V3.2DeepSeekScore93.1%Percentile73.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank32ModelBYSeed 2.0 LiteByteDanceScore93.0%Percentile72.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank33ModelLAK-EXAONE-236B-A23BLG AI ResearchScore92.8%Percentile71.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank34ModelOPo4-miniOpenAIScore92.7%Percentile71.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank35ModelOPGPT OSS 120B HighOpenAIScore92.5%Percentile70.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank36ModelAMNova 2 ProAmazonScore92.3%Percentile69.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank37ModelACQwen3-235B-A22B-Thinking-2507Alibaba Cloud / Qwen TeamScore92.3%Percentile68.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank38ModelAMNova 2 OmniAmazonScore92.1%Percentile67.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank39ModelXAGrok 4 FastxAIScore92.0%Percentile66.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank40ModelXAGrok-4xAIScore91.7%Percentile65.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank41ModelZAGLM-4.7-FlashZhipu AIScore91.6%Percentile64.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank42ModelOPGPT-5 miniOpenAIScore91.1%Percentile64.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank43ModelINMercury 2InceptionScore91.1%Percentile63.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank44ModelAMNova 2 LiteAmazonScore91.0%Percentile62.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank45ModelXAGrok-3 MinixAIScore90.8%Percentile61.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank46ModelMELongCat-Flash-ThinkingMeituanScore90.6%Percentile60.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank47ModelNVNemotron 3 Super (120B A12B)NVIDIAScore90.2%Percentile59.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank48ModelCOCommand A+CohereScore90.0%Percentile58.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank49ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore89.7%Percentile57.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank50ModelDEDeepSeek-V3.2-ExpDeepSeekScore89.3%Percentile57.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank51ModelOPGPT-5 MediumOpenAIScore88.9%Percentile56.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank52ModelGOGemini 2.5 Pro Preview 06-05GoogleScore88.0%Percentile55.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank53ModelACQwen3-Next-80B-A3B-ThinkingAlibaba Cloud / Qwen TeamScore87.8%Percentile54.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank54ModelSTStep3-VL-10BStepFunScore87.7%Percentile53.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank55ModelDEDeepSeek-R1-0528DeepSeekScore87.5%Percentile52.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank56ModelANClaude Sonnet 4.5AnthropicScore87.0%Percentile51.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank57ModelBAERNIE 5.0BaiduScore87.0%Percentile50.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank58ModelOPo3OpenAIScore86.4%Percentile50.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank59ModelMAMistral Medium 3.5Mistral AIScore86.3%Percentile49.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank60ModelOPGPT-5 nanoOpenAIScore85.2%Percentile48.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank61ModelMAMinistral 3 (14B Reasoning 2512)Mistral AIScore85.0%Percentile47.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank62ModelMAMistral Small 4Mistral AIScore83.8%Percentile46.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank63ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore83.7%Percentile45.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank64ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore83.1%Percentile44.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank65ModelGOGemini 2.5 ProGoogleScore83.0%Percentile43.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank66ModelACQwen3 MaxAlibaba Cloud / Qwen TeamScore81.6%Percentile43.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank67ModelACQwen3 235B A22BAlibaba Cloud / Qwen TeamScore81.5%Percentile42.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank68ModelOPGPT-5.5 InstantOpenAIScore81.2%Percentile41.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank69ModelMIMiniMax M2.1MiniMaxScore81.0%Percentile40.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank70ModelANClaude Haiku 4.5AnthropicScore80.7%Percentile39.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank71ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore80.3%Percentile38.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank72ModelMAMinistral 3 (8B Reasoning 2512)Mistral AIScore78.7%Percentile37.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank73ModelOPMiniCPM-SALAOpenBMBScore78.3%Percentile36.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank74ModelANClaude Opus 4.1AnthropicScore78.0%Percentile36.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank75ModelMIMiniMax M2MiniMaxScore78.0%Percentile35.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank76ModelMIPhi 4 Reasoning PlusMicrosoftScore78.0%Percentile34.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank77ModelMIMiniMax M1 80KMiniMaxScore76.9%Percentile33.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank78ModelANClaude Opus 4AnthropicScore75.5%Percentile32.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank79ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore74.7%Percentile31.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank80ModelMIMiniMax M1 40KMiniMaxScore74.6%Percentile30.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank81ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore74.5%Percentile29.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank82ModelACQwen3 32BAlibaba Cloud / Qwen TeamScore72.9%Percentile28.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank83ModelNVLlama 3.1 Nemotron Ultra 253B v1NVIDIAScore72.5%Percentile28.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank84ModelMAMin istral 3 (3B Reasoning 2512)Mistral AIScore72.1%Percentile27.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank85ModelNVNemotron Nano 9B v2NVIDIAScore72.1%Percentile26.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank86ModelGOGemini 2.5 FlashGoogleScore72.0%Percentile25.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank87ModelACQwen3 30B A3BAlibaba Cloud / Qwen TeamScore70.9%Percentile24.6%Participants115EvidenceCEvaluatedAug 17, 2026
Rank88ModelANClaude Sonnet 4AnthropicScore70.5%Percentile23.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank89ModelACQwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen TeamScore70.3%Percentile22.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank90ModelACQwen3-Next-80B-A3B-InstructAlibaba Cloud / Qwen TeamScore69.5%Percentile21.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank91ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore69.3%Percentile21.1%Participants115EvidenceCEvaluatedAug 17, 2026
Rank92ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore66.2%Percentile20.2%Participants115EvidenceCEvaluatedAug 17, 2026
Rank93ModelMAMagistral MediumMistral AIScore64.9%Percentile19.3%Participants115EvidenceCEvaluatedAug 17, 2026
Rank94ModelMELongCat-Flash-LiteMeituanScore63.2%Percentile18.4%Participants115EvidenceCEvaluatedAug 17, 2026
Rank95ModelMIPhi 4 ReasoningMicrosoftScore62.9%Percentile17.5%Participants115EvidenceCEvaluatedAug 17, 2026
Rank96ModelMAMagistral Small 2506Mistral AIScore62.8%Percentile16.7%Participants115EvidenceCEvaluatedAug 17, 2026
Rank97ModelMELongCat-Flash-ChatMeituanScore61.3%Percentile15.8%Participants115EvidenceCEvaluatedAug 17, 2026
Rank98ModelNVLlama-3.3 Nemotron Super 49B v1NVIDIAScore58.4%Percentile14.9%Participants115EvidenceCEvaluatedAug 17, 2026
Rank99ModelANClaude 3.7 SonnetAnthropicScore54.8%Percentile14.0%Participants115EvidenceCEvaluatedAug 17, 2026
Rank100ModelLALFM2.5-2.6BLiquid AIScore51.9%Percentile13.2%Participants115EvidenceCEvaluatedAug 17, 2026

AIME 2025 Highlights

The leading models and scores on this benchmark.

Rank #1Gemini 3 Pro100.0%Rank #2GPT-5.2100.0%Rank #3GPT-5.2 Pro100.0%Rank #4Grok-4 Heavy100.0%

AIME 2025 Score Distribution

A closer view of the leading scores on this benchmark.

AIME 2025

The Top AI Models for AIME 2025

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

Ranking basisThis aime 2025 AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    GO
    Gemini 3 ProGoogle
    Score
    100.0%
    Speed
    Up to 90 tok/s via Google

    Strengths

    • Ranks #1 of 115 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AIME 2025, not total model capability
  2. 02
    OP
    GPT-5.2OpenAI
    Score
    100.0%
    Price
    $1.8 input / $14 output per 1M tokens
    Speed
    Up to 100 tok/s via OpenAI

    Strengths

    • Ranks #2 of 115 compared models
    • 99th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AIME 2025, not total model capability
  3. 03
    OP
    GPT-5.2 ProOpenAI
    Score
    100.0%
    Price
    $21 input / $168 output per 1M tokens
    Speed
    Up to 25 tok/s via OpenAI

    Strengths

    • Ranks #3 of 115 compared models
    • 98th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AIME 2025, not total model capability
  4. 04
    XA
    Grok-4 HeavyxAI
    Score
    100.0%

    Strengths

    • Ranks #4 of 115 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AIME 2025, not total model capability
  5. 05
    MA
    Kimi K2-Thinking-0905Moonshot AI
    Score
    100.0%
    Price
    $0.60 input / $2.5 output per 1M tokens

    Strengths

    • Ranks #5 of 115 compared models
    • 96th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures AIME 2025, not total model capability

Selection summary

Best AI Models for AIME 2025

Gemini 3 Pro currently leads AIME 2025 with 100.0%. 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.

Benchmark rank #1Gemini 3 Pro100.0% · Up to 90 tok/s via GoogleBenchmark rank #2GPT-5.2100.0% · $1.8 input / $14 output per 1M tokensBenchmark rank #3GPT-5.2 Pro100.0% · $21 input / $168 output per 1M tokens

What is AIME 2025?

What AIME 2025 measures and how its scores work.

All 30 problems from the 2025 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of C.

Family
AIME 2025
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
aime-2025|llm-stats-current

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

FAQ

Common questions about AIME 2025.

Which model scores highest on AIME 2025?

Gemini 3 Pro is currently ranked first with 100.0%.

What does AIME 2025 measure?

All 30 problems from the 2025 American Invitational Mathematics Examination (AIME I and AIME II), testing olympiad-level mathematical reasoning with integer answers from 000-999. Used as an AI benchmark to evaluate large language models' ability to solve complex mathematical problems requiring multi-step logical deductions and structured symbolic reasoning.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

100 model results are currently shown.

Does this benchmark affect the overall score?

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