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math benchmark

HMMT25 Leaderboard

HMMT25 is the Harvard-MIT Mathematics Tournament 2025, a student-organized mathematics competition for high school students with events at MIT in November 2025 and Harvard in February 2026.

Updated Sep 5, 2026

Models28
Model coverage28
MetricScore
EvidenceB

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HMMT25 Ranking

Higher score ranks better on this benchmark.

28 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXAGrok-4 HeavyxAIScore96.70%Percentile100.00%Participants28EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore94.60%Percentile96.30%Participants28EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore92.70%Percentile92.59%Participants28EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore90.70%Percentile88.89%Participants28EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore90.30%Percentile85.19%Participants28EvidenceCEvaluatedSep 8, 2026
Rank06ModelXAGrok-4xAIScore90.00%Percentile81.48%Participants28EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore89.80%Percentile77.78%Participants28EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore89.20%Percentile74.07%Participants28EvidenceCEvaluatedSep 8, 2026
Rank09ModelIBIBM Granite 4.2 30BIBMScore89.17%Percentile70.37%Participants28EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore89.10%Percentile66.67%Participants28EvidenceCEvaluatedSep 8, 2026
Rank11ModelSASarvam-105BSarvam AIScore85.80%Percentile62.96%Participants28EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3-235B-A22B-Thinking-2507Alibaba Cloud / Qwen TeamScore83.90%Percentile59.26%Participants28EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQwen3.5-9BAlibaba Cloud / Qwen TeamScore82.90%Percentile55.56%Participants28EvidenceCEvaluatedSep 8, 2026
Rank14ModelIBIBM Granite 4.2 8BIBMScore78.33%Percentile51.85%Participants28EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore77.40%Percentile48.15%Participants28EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3.5-4BAlibaba Cloud / Qwen TeamScore76.80%Percentile44.44%Participants28EvidenceCEvaluatedSep 8, 2026
Rank17ModelSASarvam-30BSarvam AIScore74.20%Percentile40.74%Participants28EvidenceCEvaluatedSep 8, 2026
Rank18ModelACQwen3-Next-80B-A3B-ThinkingAlibaba Cloud / Qwen TeamScore73.90%Percentile37.04%Participants28EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore67.60%Percentile33.33%Participants28EvidenceCEvaluatedSep 8, 2026
Rank20ModelIBIBM Granite 4.2 3BIBMScore66.67%Percentile29.63%Participants28EvidenceCEvaluatedSep 8, 2026
Rank21ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore60.60%Percentile25.93%Participants28EvidenceCEvaluatedSep 8, 2026
Rank22ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore57.40%Percentile22.22%Participants28EvidenceCEvaluatedSep 8, 2026
Rank23ModelACQwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen TeamScore55.40%Percentile18.52%Participants28EvidenceCEvaluatedSep 8, 2026
Rank24ModelACQwen3-Next-80B-A3B-InstructAlibaba Cloud / Qwen TeamScore54.10%Percentile14.81%Participants28EvidenceCEvaluatedSep 8, 2026
Rank25ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore53.10%Percentile11.11%Participants28EvidenceCEvaluatedSep 8, 2026
Rank26ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore50.60%Percentile7.41%Participants28EvidenceCEvaluatedSep 8, 2026
Rank27ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore32.50%Percentile3.70%Participants28EvidenceCEvaluatedSep 8, 2026
Rank28ModelACQwen3 VL 4B InstructAlibaba Cloud / Qwen TeamScore30.70%Percentile0.00%Participants28EvidenceCEvaluatedSep 8, 2026

HMMT25 Highlights

The leading models and scores on this benchmark.

HMMT25 Score Distribution

A closer view of the leading scores on this benchmark.

HMMT25

The Top AI Models for HMMT25

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

What is HMMT25?

What HMMT25 measures and how its scores work.

HMMT25 is a mathematics competition featuring individual tests, team rounds, and guts rounds.

HMMT25 measures performance using the Score metric, reported as a ratio.

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

Family
HMMT25
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 HMMT25.

Which model scores highest on HMMT25?

Grok-4 Heavy is currently ranked first with 96.70%.

What are the top three models on HMMT25?

The current leaders are Grok-4 Heavy (96.70%), Qwen3.6 Plus (94.60%), and Qwen3.5-397B-A17B (92.70%).

Which HMMT25 model has the lowest official input price?

Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.

Which models are fastest among HMMT25 results?

The fastest matched records are Grok-4 (100.00 tok/s via xAI) and Qwen3 VL 4B Thinking (8.77 tok/s via DeepInfra).

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 HMMT25 measure?

HMMT25 measures performance using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

28 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 #1Grok-4 Heavy96.70%
Rank #2Qwen3.6 Plus94.60%
Rank #3Qwen3.5-397B-A17B92.70%
Rank #4Qwen3.6-27B90.70%

Ranking basisThis hmmt25 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
    XA
    Grok-4 HeavyxAI
    Score
    96.70%

    Strengths

    • Ranks #1 of 28 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT25, not total model capability
  2. 02
    AC
    Qwen3.6 PlusAlibaba Cloud / Qwen Team
    Score
    94.60%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #2 of 28 compared models
    • 96th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT25, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    92.70%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #3 of 28 compared models
    • 93th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT25, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    90.70%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #4 of 28 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT25, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    90.30%
    Price
    $0.40 input / $3.2 output per 1M tokens

    Strengths

    • Ranks #5 of 28 compared models
    • 85th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures HMMT25, not total model capability

Selection summary

Best AI Models for HMMT25

Grok-4 Heavy currently leads HMMT25 with 96.70%. 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.

Qwen3.5-397B-A17B
Qwen3.6-27B
Qwen3.5-122B-A10B
Benchmark rank #1Grok-4 Heavy96.70%
Benchmark rank #2Qwen3.6 Plus94.60% · $0.50 input / $3.0 output per 1M tokens
Benchmark rank #3Qwen3.5-397B-A17B92.70% · $0.60 input / $3.6 output per 1M tokens