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SuperGPQA Leaderboard

SuperGPQA evaluates large language models on 25,957 questions spanning 285 graduate-level academic disciplines across 13 broad disciplinary areas.

Updated Sep 7, 2026

Models34
Model coverage34
MetricScore
EvidenceB

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SuperGPQA Ranking

Higher score ranks better on this benchmark.

30 of 34 rows
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore73.60%Percentile100.00%Participants34EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore71.60%Percentile96.97%Participants34EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore71.40%Percentile93.94%Participants34EvidenceCEvaluatedSep 8, 2026
Rank04ModelBYSeed 2.1 ProByteDanceScore70.80%Percentile90.91%Participants34EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore70.40%Percentile87.88%Participants34EvidenceCEvaluatedSep 8, 2026
Rank06ModelBYSeed 2.1 TurboByteDanceScore67.40%Percentile84.85%Participants34EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore67.10%Percentile81.82%Participants34EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.6-27BAlibaba Cloud / Qwen TeamScore66.00%Percentile78.79%Participants34EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore65.60%Percentile75.76%Participants34EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3 MaxAlibaba Cloud / Qwen TeamScore65.10%Percentile72.73%Participants34EvidenceCEvaluatedSep 8, 2026
Rank11ModelACQwen3-235B-A22B-Thinking-2507Alibaba Cloud / Qwen TeamScore64.90%Percentile69.70%Participants34EvidenceCEvaluatedSep 8, 2026
Rank12ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore64.70%Percentile66.67%Participants34EvidenceCEvaluatedSep 8, 2026
Rank13ModelACQwen3 VL 235B A22B ThinkingAlibaba Cloud / Qwen TeamScore64.30%Percentile63.64%Participants34EvidenceCEvaluatedSep 8, 2026
Rank14ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore63.40%Percentile60.61%Participants34EvidenceCEvaluatedSep 8, 2026
Rank15ModelACQwen3-235B-A22B-Instruct-2507Alibaba Cloud / Qwen TeamScore62.60%Percentile57.58%Participants34EvidenceCEvaluatedSep 8, 2026
Rank16ModelACQwen3-Next-80B-A3B-ThinkingAlibaba Cloud / Qwen TeamScore60.80%Percentile54.55%Participants34EvidenceCEvaluatedSep 8, 2026
Rank17ModelACQwen3 VL 235B A22B InstructAlibaba Cloud / Qwen TeamScore60.40%Percentile51.52%Participants34EvidenceCEvaluatedSep 8, 2026
Rank18ModelACQwen3 VL 32B ThinkingAlibaba Cloud / Qwen TeamScore59.00%Percentile48.48%Participants34EvidenceCEvaluatedSep 8, 2026
Rank19ModelACQwen3-Next-80B-A3B-InstructAlibaba Cloud / Qwen TeamScore58.80%Percentile45.45%Participants34EvidenceCEvaluatedSep 8, 2026
Rank20ModelACQwen3.5-9BAlibaba Cloud / Qwen TeamScore58.20%Percentile42.42%Participants34EvidenceCEvaluatedSep 8, 2026
Rank21ModelMAKimi K2 InstructMoonshot AIScore57.20%Percentile39.39%Participants34EvidenceCEvaluatedSep 8, 2026
Rank22ModelMAKimi K2-Instruct-0905Moonshot AIScore57.20%Percentile36.36%Participants34EvidenceCEvaluatedSep 8, 2026
Rank23ModelACQwen3 VL 30B A3B ThinkingAlibaba Cloud / Qwen TeamScore56.40%Percentile33.33%Participants34EvidenceCEvaluatedSep 8, 2026
Rank24ModelACQwen3 VL 32B InstructAlibaba Cloud / Qwen TeamScore54.60%Percentile30.30%Participants34EvidenceCEvaluatedSep 8, 2026
Rank25ModelACQwen3 VL 30B A3B InstructAlibaba Cloud / Qwen TeamScore53.10%Percentile27.27%Participants34EvidenceCEvaluatedSep 8, 2026
Rank26ModelACQwen3.5-4BAlibaba Cloud / Qwen TeamScore52.90%Percentile24.24%Participants34EvidenceCEvaluatedSep 8, 2026
Rank27ModelACQwen3 VL 8B ThinkingAlibaba Cloud / Qwen TeamScore51.20%Percentile21.21%Participants34EvidenceCEvaluatedSep 8, 2026
Rank28ModelACQwen3 VL 4B ThinkingAlibaba Cloud / Qwen TeamScore46.80%Percentile18.18%Participants34EvidenceCEvaluatedSep 8, 2026
Rank29ModelMAKimi K2 BaseMoonshot AIScore44.70%Percentile15.15%Participants34EvidenceCEvaluatedSep 8, 2026
Rank30ModelACQwen3 VL 8B InstructAlibaba Cloud / Qwen TeamScore44.50%Percentile12.12%Participants34EvidenceCEvaluatedSep 8, 2026

SuperGPQA Highlights

The leading models and scores on this benchmark.

SuperGPQA Score Distribution

A closer view of the leading scores on this benchmark.

SuperGPQA

The Top AI Models for SuperGPQA

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

What is SuperGPQA?

What SuperGPQA measures and how its scores work.

SuperGPQA is a benchmark containing questions across graduate-level academic disciplines, created using a Human-LLM collaborative filtering mechanism with over 80 expert annotators.

It measures graduate-level knowledge and reasoning capabilities across fields including Engineering, Medicine, Science, Law, light industry, agriculture, and service-oriented domains.

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

Family
SuperGPQA
Modality
text
Primary category
legal
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 SuperGPQA.

Which model scores highest on SuperGPQA?

Qwen3.7 Max is currently ranked first with 73.60%.

What are the top three models on SuperGPQA?

The current leaders are Qwen3.7 Max (73.60%), Qwen3.6 Plus (71.60%), and Qwen3.7-Plus (71.40%).

Which SuperGPQA 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 SuperGPQA results?

The fastest matched records are Qwen3-235B-A22B-Instruct-2507 (21.74 tok/s via DeepInfra), Qwen3 235B A22B (21.74 tok/s via DeepInfra), 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 SuperGPQA measure?

It measures graduate-level knowledge and reasoning capabilities across fields including Engineering, Medicine, Science, Law, light industry, agriculture, and service-oriented domains.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

34 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 #1Qwen3.7 Max73.60%
Rank #2Qwen3.6 Plus71.60%
Rank #3Qwen3.7-Plus71.40%
Rank #4Seed 2.1 Pro70.80%

Ranking basisThis supergpqa 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
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    73.60%
    Price
    $2.5 input / $7.5 output per 1M tokens

    Strengths

    • Ranks #1 of 34 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SuperGPQA, not total model capability
  2. 02
    AC
    Qwen3.6 PlusAlibaba Cloud / Qwen Team
    Score
    71.60%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #2 of 34 compared models
    • 97th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SuperGPQA, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    71.40%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #3 of 34 compared models
    • 94th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SuperGPQA, not total model capability
  4. 04
    BY
    ByteDance
    Score
    70.80%

    Strengths

    • Ranks #4 of 34 compared models
    • 91th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SuperGPQA, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    70.40%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #5 of 34 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures SuperGPQA, not total model capability

Selection summary

Best AI Models for SuperGPQA

Qwen3.7 Max currently leads SuperGPQA with 73.60%. 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.

Qwen3.7-Plus
Seed 2.1 Pro
Qwen3.5-397B-A17B
Benchmark rank #1Qwen3.7 Max73.60% · $2.5 input / $7.5 output per 1M tokens
Benchmark rank #2Qwen3.6 Plus71.60% · $0.50 input / $3.0 output per 1M tokens
Benchmark rank #3Qwen3.7-Plus71.40% · $0.50 input / $3.0 output per 1M tokens