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physics benchmark

GPQA Leaderboard

GPQA is a dataset of 448 multiple-choice questions written by domain experts in biology, physics, and chemistry.

Updated Oct 23, 2026

Models100
Model coverage256
MetricScore
EvidenceC

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GPQA Ranking

Higher score ranks better on this benchmark.

30 of 100 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-6 AstraOpenAIScore96.00%Percentile100.00%Participants256EvidenceCEvaluatedOct 22, 2026
Rank02ModelANClaude Mythos PreviewAnthropicScore94.60%Percentile99.61%Participants256EvidenceCEvaluatedOct 22, 2026
Rank03ModelOPGPT-5.6 SolOpenAIScore94.60%Percentile99.22%Participants256EvidenceCEvaluatedOct 22, 2026
Rank04ModelGOGemini 3.1 ProGoogleScore94.30%Percentile98.82%Participants256EvidenceCEvaluatedOct 22, 2026
Rank05ModelANClaude Opus 4.7AnthropicScore94.20%Percentile98.43%Participants256EvidenceCEvaluatedOct 22, 2026
Rank06ModelANClaude Opus 4.8AnthropicScore93.60%Percentile98.04%Participants256EvidenceCEvaluatedOct 22, 2026
Rank07ModelOPGPT-5.5OpenAIScore93.60%Percentile97.65%Participants256EvidenceCEvaluatedOct 22, 2026
Rank08ModelMAKimi K3Moonshot AIScore93.50%Percentile97.25%Participants256EvidenceCEvaluatedOct 22, 2026
Rank09ModelOPGPT-5.2 ProOpenAIScore93.20%Percentile96.86%Participants256EvidenceCEvaluatedOct 22, 2026
Rank10ModelXAGrok 4.5xAIScore93.00%Percentile96.47%Participants256EvidenceBEvaluatedOct 22, 2026
Rank11ModelOPGPT-5.6 TerraOpenAIScore92.90%Percentile96.08%Participants256EvidenceCEvaluatedOct 22, 2026
Rank12ModelOPGPT-5.4OpenAIScore92.80%Percentile95.69%Participants256EvidenceCEvaluatedOct 22, 2026
Rank13ModelACQwen3.8 MaxAlibaba Cloud / Qwen TeamScore92.60%Percentile95.29%Participants256EvidenceCEvaluatedOct 22, 2026
Rank14ModelOPGPT-5.2OpenAIScore92.40%Percentile94.90%Participants256EvidenceCEvaluatedOct 22, 2026
Rank15ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore92.40%Percentile94.51%Participants256EvidenceCEvaluatedOct 22, 2026
Rank16ModelOPGPT-5.6 LunaOpenAIScore92.30%Percentile94.12%Participants256EvidenceCEvaluatedOct 22, 2026
Rank17ModelTEHy4 previewTencentScore92.30%Percentile93.73%Participants256EvidenceCEvaluatedOct 22, 2026
Rank18ModelGOGemini 3 ProGoogleScore91.90%Percentile93.33%Participants256EvidenceCEvaluatedOct 22, 2026
Rank19ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore91.70%Percentile92.94%Participants256EvidenceCEvaluatedOct 22, 2026
Rank20ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore91.70%Percentile92.55%Participants256EvidenceCEvaluatedOct 22, 2026
Rank21ModelANClaude Opus 4.6AnthropicScore91.30%Percentile92.16%Participants256EvidenceCEvaluatedOct 22, 2026
Rank22ModelZAGLM-5.2Zhipu AIScore91.20%Percentile91.76%Participants256EvidenceCEvaluatedOct 22, 2026
Rank23ModelDEDeepSeek-V4.1-FlashDeepSeekScore90.90%Percentile91.37%Participants256EvidenceCEvaluatedOct 22, 2026
Rank24ModelRABeam 1.0Reflection AIScore90.60%Percentile90.98%Participants256EvidenceCEvaluatedOct 22, 2026
Rank25ModelMAKimi K2.6Moonshot AIScore90.50%Percentile90.59%Participants256EvidenceCEvaluatedOct 22, 2026
Rank26ModelGOGemini 3 FlashGoogleScore90.40%Percentile90.20%Participants256EvidenceCEvaluatedOct 22, 2026
Rank27ModelTEHy3TencentScore90.40%Percentile89.80%Participants256EvidenceCEvaluatedOct 22, 2026
Rank28ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore90.40%Percentile89.41%Participants256EvidenceCEvaluatedOct 22, 2026
Rank29ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore90.30%Percentile89.02%Participants256EvidenceCEvaluatedOct 22, 2026
Rank30ModelDEDeepSeek-V4-Pro-MaxDeepSeekScore90.10%Percentile88.63%Participants256EvidenceCEvaluatedOct 22, 2026

GPQA Highlights

The leading models and scores on this benchmark.

GPQA Score Distribution

A closer view of the leading scores on this benchmark.

GPQA

The Top AI Models for GPQA

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

What is GPQA?

What GPQA measures and how its scores work.

GPQA is a benchmark dataset of 448 multiple-choice questions in biology, physics, and chemistry.

GPQA measures Score as a ratio based on performance on its questions.

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

Family
GPQA
Modality
text
Primary category
physics
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 GPQA.

Which model scores highest on GPQA?

GPT-6 Astra is currently ranked first with 96.00%.

What are the top three models on GPQA?

The current leaders are GPT-6 Astra (96.00%), Claude Mythos Preview (94.60%), and GPT-5.6 Sol (94.60%).

Which GPQA model has the lowest official input price?

Mercury 3 has the lowest matched official input price at $0.10 input / $0.35 output per 1M tokens.

Which models are fastest among GPQA results?

The fastest matched records are Mercury 3 (1,068.00 tok/s via Inception), GPT-5.6 Luna (215.52 tok/s via OpenAI), and GPT-5 mini (200.00 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 GPQA measure?

GPQA measures Score as a ratio based on performance on its questions.

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?

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

Rank #1GPT-6 Astra96.00%
Rank #2Claude Mythos Preview94.60%
Rank #3GPT-5.6 Sol94.60%
Rank #4Gemini 3.1 Pro94.30%

Ranking basisThis gpqa 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-6 AstraOpenAI
    Score
    96.00%
    Price
    $10 input / $50 output per 1M tokens

    Strengths

    • Ranks #1 of 256 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GPQA, not total model capability
  2. 02
    AN
    Claude Mythos PreviewAnthropic
    Score
    94.60%

    Strengths

    • Ranks #2 of 256 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GPQA, not total model capability
  3. 03
    OP
    OpenAI
    Score
    94.60%
    Price
    $4.0 input / $20 output per 1M tokens
    Speed
    Up to 25.46 tok/s via OpenAI

    Strengths

    • Ranks #3 of 256 compared models
    • 99th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GPQA, not total model capability
  4. 04
    GO
    Google
    Score
    94.30%
    Price
    $2.0 input / $12 output per 1M tokens
    Speed
    Up to 90.00 tok/s via Google

    Strengths

    • Ranks #4 of 256 compared models
    • 99th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GPQA, not total model capability
  5. 05
    AN
    Anthropic
    Score
    94.20%
    Price
    $5.0 input / $25 output per 1M tokens
    Speed
    Up to 42.00 tok/s via Vertex AI

    Strengths

    • Ranks #5 of 256 compared models
    • 98th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GPQA, not total model capability

Selection summary

Best AI Models for GPQA

GPT-6 Astra currently leads GPQA with 96.00%. 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.

GPT-5.6 Sol
Gemini 3.1 Pro
Claude Opus 4.7
Benchmark rank #1GPT-6 Astra96.00% · $10 input / $50 output per 1M tokens
Benchmark rank #2Claude Mythos Preview94.60%
Benchmark rank #3GPT-5.6 Sol94.60% · $4.0 input / $20 output per 1M tokens