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math benchmark

HMMT 2025 Leaderboard

HMMT 2025 is a student-organized mathematics competition for high school students held in November 2025 at MIT and February 2026 at Harvard, with individual tests, team rounds, and guts rounds.

Updated Sep 7, 2026

Models33
Model coverage33
MetricScore
EvidenceB

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HMMT 2025 Ranking

Higher score ranks better on this benchmark.

30 of 33 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-5.2 ProOpenAIScore100.00%Percentile100.00%Participants33EvidenceCEvaluatedSep 8, 2026
Rank02ModelOPGPT-5.2OpenAIScore99.40%Percentile96.88%Participants33EvidenceCEvaluatedSep 8, 2026
Rank03ModelDEDeepSeek-V3.2-SpecialeDeepSeekScore99.20%Percentile93.75%Participants33EvidenceCEvaluatedSep 8, 2026
Rank04ModelMAKimi K2-Thinking-0905Moonshot AIScore97.50%Percentile90.63%Participants33EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore96.70%Percentile87.50%Participants33EvidenceCEvaluatedSep 8, 2026
Rank06ModelMAKimi K2.5Moonshot AIScore95.40%Percentile84.38%Participants33EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore94.80%Percentile81.25%Participants33EvidenceCEvaluatedSep 8, 2026
Rank08ModelNVNemotron 3 Super (120B A12B)NVIDIAScore94.73%Percentile78.13%Participants33EvidenceCEvaluatedSep 8, 2026
Rank09ModelZAGLM-5.2Zhipu AIScore94.40%Percentile75.00%Participants33EvidenceCEvaluatedSep 8, 2026
Rank10ModelZAGLM-5.1Zhipu AIScore94.00%Percentile71.88%Participants33EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore93.80%Percentile68.75%Participants33EvidenceCEvaluatedSep 8, 2026
Rank12ModelOPGPT-5OpenAIScore93.30%Percentile65.63%Participants33EvidenceCEvaluatedSep 8, 2026
Rank13ModelXAGrok 4 FastxAIScore93.30%Percentile62.50%Participants33EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore92.00%Percentile59.38%Participants33EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore91.40%Percentile56.25%Participants33EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore90.70%Percentile53.13%Participants33EvidenceCEvaluatedSep 8, 2026
Rank17ModelDEDeepSeek-V3.2 (Thinking)DeepSeekScore90.20%Percentile50.00%Participants33EvidenceCEvaluatedSep 8, 2026
Rank18ModelDEDeepSeek-V3.2DeepSeekScore90.20%Percentile46.88%Participants33EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore89.00%Percentile43.75%Participants33EvidenceCEvaluatedSep 8, 2026
Rank20ModelOPGPT-5 miniOpenAIScore87.80%Percentile40.63%Participants33EvidenceCEvaluatedSep 8, 2026
Rank21ModelSASarvam-105BSarvam AIScore85.80%Percentile37.50%Participants33EvidenceCEvaluatedSep 8, 2026
Rank22ModelXIMiMo-V2-FlashXiaomiScore84.40%Percentile34.38%Participants33EvidenceCEvaluatedSep 8, 2026
Rank23ModelDEDeepSeek-V3.2-ExpDeepSeekScore83.60%Percentile31.25%Participants33EvidenceCEvaluatedSep 8, 2026
Rank24ModelACQwen3.5-9BAlibaba Cloud / Qwen TeamScore83.20%Percentile28.13%Participants33EvidenceCEvaluatedSep 8, 2026
Rank25ModelDEDeepSeek-R1-0528DeepSeekScore79.40%Percentile25.00%Participants33EvidenceCEvaluatedSep 8, 2026
Rank26ModelOPGPT-5 nanoOpenAIScore75.60%Percentile21.88%Participants33EvidenceCEvaluatedSep 8, 2026
Rank27ModelACQwen3.5-4BAlibaba Cloud / Qwen TeamScore74.00%Percentile18.75%Participants33EvidenceCEvaluatedSep 8, 2026
Rank28ModelSASarvam-30BSarvam AIScore73.30%Percentile15.63%Participants33EvidenceCEvaluatedSep 8, 2026
Rank29ModelMAKimi K2 InstructMoonshot AIScore38.80%Percentile12.50%Participants33EvidenceCEvaluatedSep 8, 2026
Rank30ModelMAKimi K2-Instruct-0905Moonshot AIScore38.80%Percentile9.38%Participants33EvidenceCEvaluatedSep 8, 2026

HMMT 2025 Highlights

The leading models and scores on this benchmark.

HMMT 2025 Score Distribution

A closer view of the leading scores on this benchmark.

HMMT 2025

The Top AI Models for HMMT 2025

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

What is HMMT 2025?

What HMMT 2025 measures and how its scores work.

HMMT 2025 is the Harvard-MIT Mathematics Tournament 2025, a mathematics competition for high school students.

It reports a Score in ratio units.

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

Family
HMMT 2025
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

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

FAQ

Common questions about HMMT 2025.

Which model scores highest on HMMT 2025?

GPT-5.2 Pro is currently ranked first with 100.00%.

What are the top three models on HMMT 2025?

The current leaders are GPT-5.2 Pro (100.00%), GPT-5.2 (99.40%), and DeepSeek-V3.2-Speciale (99.20%).

Which HMMT 2025 model has the lowest official input price?

GPT-5 nano has the lowest matched official input price at $0.05 input / $0.40 output per 1M tokens.

Which models are fastest among HMMT 2025 results?

The fastest matched records are GPT-5 nano (500.00 tok/s via OpenAI), GPT-4.1 mini (467.39 tok/s via OpenAI), and GPT-5 mini (167.61 tok/s via OpenAI).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does HMMT 2025 measure?

It reports a Score in ratio units.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

33 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1GPT-5.2 Pro100.00%
Rank #2GPT-5.299.40%
Rank #3DeepSeek-V3.2-Speciale99.20%
Rank #4Kimi K2-Thinking-090597.50%

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

  1. 01
    OP
    GPT-5.2 ProOpenAI
    Score
    100.00%
    Price
    $21 input / $168 output per 1M tokens
    Speed
    Up to 25.00 tok/s via OpenAI

    Strengths

    • Ranks #1 of 33 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT 2025, not total model capability
  2. 02
    OP
    GPT-5.2OpenAI
    Score
    99.40%
    Price
    $1.8 input / $14 output per 1M tokens
    Speed
    Up to 100.00 tok/s via OpenAI

    Strengths

    • Ranks #2 of 33 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT 2025, not total model capability
  3. 03
    DE
    DeepSeek
    Score
    99.20%
    Speed
    Up to 30.00 tok/s via DeepSeek

    Strengths

    • Ranks #3 of 33 compared models
    • 94th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT 2025, not total model capability
  4. 04
    MA
    Moonshot AI
    Score
    97.50%

    Strengths

    • Ranks #4 of 33 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT 2025, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    96.70%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #5 of 33 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT 2025, not total model capability

Selection summary

Best AI Models for HMMT 2025

GPT-5.2 Pro currently leads HMMT 2025 with 100.00%. 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.

DeepSeek-V3.2-Speciale
Kimi K2-Thinking-0905
Qwen3.6 Plus
Benchmark rank #1GPT-5.2 Pro100.00% · $21 input / $168 output per 1M tokens
Benchmark rank #2GPT-5.299.40% · $1.8 input / $14 output per 1M tokens
Benchmark rank #3DeepSeek-V3.2-Speciale99.20% · Up to 30.00 tok/s via DeepSeek