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    GPQA

    🏆 Leaderboard

    As of August 31, 2026, GPT-5.6 Sol is #1 for GPQA at 94.6%. Ranked by GPQA: graduate-level science questions that resist simple search. 225 models in this index have a published GPQA score. Methodology: GPQA (GitHub) (https://github.com/idavidrein/gpqa). GPQA leaderboard with live API prices. Graduate-Level Google-Proof Q&A — expert-written questions in biology, physics, and chemistry that resist simple search. Official methodology: GPQA (GitHub) (https://github.com/idavidrein/gpqa).

    Updated August 31, 2026345 models36 providers

    GPQA vs price

    223 models. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price — a dot under it is a worse deal than something on the line.

    Best score at each price#1 on this board
    GPT-5.6 Sol
    OpenAI · Proprietary
    		94.6%$35.00
    Claude Mythos Preview
    Anthropic · Proprietary
    		94.6%$60.00
    Claude Mythos 5
    Anthropic · Proprietary
    		94.6%$60.00
    Gemini 3.1 Pro
    Google · Proprietary
    		94.3%$17.50
    Claude Opus 4.7
    Anthropic · Proprietary
    		94.2%$30.00
    GPT-5.5
    OpenAI · Proprietary
    		93.6%$35.00
    Claude Opus 4.8
    Anthropic · Proprietary
    		93.6%$30.00
    Kimi K3OSS
    Moonshot AI · Open Source
    		93.5%$18.00
    GPT-5.2 Pro
    OpenAI · Proprietary
    		93.2%$189.00
    Grok 4.5
    xAI · Proprietary
    		93%$8.00
    GPT-5.6 Terra
    OpenAI · Proprietary
    		92.9%$14.00
    GPT-5.4
    OpenAI · Proprietary
    		92.8%$17.50
    Qwen3.8 MaxOSS
    Qwen · Open Source
    		92.6%$8.00
    Qwen3.7 Max
    Qwen · Proprietary
    		92.4%$5.00
    GPT-5.2
    OpenAI · Proprietary
    		92.4%$15.75
    GPT-5.6 Luna
    OpenAI · Proprietary
    		92.3%$1.40
    Gemini 3 Pro
    Google · Proprietary
    		91.9%$14.00
    Qwen3.8-Flash-NextOSS
    Qwen · Open Source
    		91.7%$0.62
    Qwen3.8 Flash
    Qwen · Proprietary
    		91.7%$0.62
    Claude Opus 4.6
    Anthropic · Proprietary
    		91.3%$30.00
    GLM-5.2OSS
    Z AI · Open Source
    		91.2%$5.80
    Kimi K2.6OSS
    Moonshot AI · Open Source
    		90.5%$4.93
    Qwen3.6 Plus
    Qwen · Proprietary
    		90.4%$3.50
    Hy3OSS
    Tencent · Open Source
    		90.4%$0.66
    Gemini 3 Flash
    Google · Proprietary
    		90.4%$3.50
    Qwen3.7-Plus
    Qwen · Proprietary
    		90.3%$1.60
    DeepSeek-V4-Pro-MaxOSS
    DeepSeek · Open Source
    		90.1%$5.22
    Claude Sonnet 4.6
    Anthropic · Proprietary
    		89.9%$18.00
    Inkling-SmallOSS
    Thinking Machines · Open Source · via Thinking Machines Lab
    		89.5%$1.50
    Qwen3.8-27BOSS
    Qwen · Open Source
    		89.2%$3.65
    Solar Pro 4
    Upstage · Proprietary
    		89%$1.50
    Seed 2.0 Pro
    ByteDance · Proprietary
    		88.9%$3.50
    Qwen3.5-397B-A17BOSS
    Qwen · Open Source
    		88.4%$4.20
    GPT-5.1 Thinking
    OpenAI · Proprietary
    		88.1%$11.25
    GPT-5.1 Instant
    OpenAI · Proprietary
    		88.1%$11.25
    GPT-5.1 High
    OpenAI · Proprietary
    		88.1%$11.25
    GPT-5.1
    OpenAI · Proprietary
    		88.1%$11.25
    GPT-5 Medium
    OpenAI · Proprietary
    		88.1%$11.25
    DeepSeek-V4-Flash-MaxOSS
    DeepSeek · Open Source
    		88.1%$0.42
    GPT-5.4 mini
    OpenAI · Proprietary
    		88%$5.25
    Qwen3.6-27BOSS
    Qwen · Open Source
    		87.8%$4.20
    GPT-5.3 Codex
    OpenAI · Proprietary
    		87.7%$15.75
    Kimi K2.5OSS
    Moonshot AI · Open Source
    		87.6%$3.68
    Grok-4
    xAI · Proprietary
    		87.5%$18.00
    DeepSeek-V4-Flash-0423OSS
    DeepSeek · Open Source
    		87.4%$0.30
    GPT-5 High
    OpenAI · Proprietary
    		87.3%$11.25
    Nemotron 3 Ultra (550B A55B)OSS
    NVIDIA · Open Source · via OpenRouter
    		87%$2.70
    Claude Opus 4.5
    Anthropic · Proprietary
    		87%$30.00
    Gemini 3.1 Flash-Lite
    Google · Proprietary
    		86.9%$1.75
    Qwen3.5-122B-A10BOSS
    Qwen · Open Source
    		86.6%$3.60
    Showing 1–50 of 345 models

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    The index

    All Large Language Models

    345 models across 36 providers. Search or jump to a lab — every model page stays linked here.

    OpenAI52Anthropic22Google34Cursor2xAI17DeepSeek20MiniMax7Qwen55AI21 Labs2Amazon7Baidu2ByteDance4Cohere4IBM2Inception1inclusionAI1LG AI Research1Liquid AI2Meituan4Meta12Microsoft9Mistral26Moonshot AI11Nous Research1NVIDIA9OpenBMB1Poolside2Sakana AI1Sarvam AI2StepFun2Tencent1Thinking Machines1Unisound1Upstage1Xiaomi5Z AI21

    Baidu

    2 models
    ERNIE 5.0ERNIE 4.5

    Inception

    1 models
    Mercury 2

    inclusionAI

    1 models
    Ling-3.0-flash

    LG AI Research

    1 models
    K-EXAONE-236B-A23B

    Liquid AI

    2 models
    LFM2.5-VL-3BLFM2.5-2.6B

    Nous Research

    1 models
    Hermes 3 70B

    OpenBMB

    1 models
    MiniCPM-SALA

    Sakana AI

    1 models
    Sakana Namazu

    Sarvam AI

    2 models
    Sarvam-105BSarvam-30B

    Tencent

    1 models
    Hy3

    Thinking Machines

    1 models
    Inkling-Small

    Unisound

    1 models
    U2

    Upstage

    1 models
    Solar Pro 4

    Which model leads GPQA right now?

    As of August 31, 2026, GPT-5.6 Sol by OpenAI is #1 for GPQA at 94.6%. Ranked by GPQA: graduate-level science questions that resist simple search. This board also tracks GPQA. Next on the same board: Claude Mythos 5 and Claude Mythos Preview. This gpqa leaderboard ranks models by GPQA. Scores come from public evals. Prices are the live API rates in the table above.

    Sources: GPQA (GitHub) (https://github.com/idavidrein/gpqa); OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)

    Top 8 for gpqa. Ranked by GPQA: graduate-level science questions that resist simple search. Input and output are dollars per million tokens.
    RankModelGPQAInput /MOutput /M
    1GPT-5.6 Sol94.6%$5.00$30.00
    2Claude Mythos 594.6%$10.00$50.00
    3Claude Mythos Preview94.6%$10.00$50.00
    4Gemini 3.1 Pro94.3%$2.50$15.00
    5Claude Opus 4.794.2%$5.00$25.00
    6Claude Opus 4.893.6%$5.00$25.00
    7GPT-5.593.6%$5.00$30.00
    8Kimi K393.5%$3.00$15.00

    Related LLM leaderboards

    LLM LeaderboardCodingMathAgenticReasoningWritingScienceFinanceLong ContextVisionOpen Source

    Individual benchmark pages

    Rank one eval at a time. All LLM benchmarks.

    HLESWE BenchHumanity's Last Exam (No Tools)Humanity's Last Exam (With Tools)Terminal-Bench 2.0Terminal-BenchTerminal-Bench 2.1Terminal-Bench 2Terminal-Bench 3.0ARC-AGI-1 Verified

    GPQA FAQ

    Who ranks #1 on the GPQA leaderboard?

    As of August 31, 2026, GPT-5.6 Sol by OpenAI ranks #1 on GPQA at 94.6%. API pricing is $5.00/M input and $30.00/M output.

    What are the top models on GPQA?

    The current GPQA ranking as of August 31, 2026 is 1. GPT-5.6 Sol at 94.6%; 2. Claude Mythos 5 at 94.6%; 3. Claude Mythos Preview at 94.6%.

    Which gpqa model is the cheapest?

    Llama 3.2 3B Instruct is the cheapest scored model on this gpqa leaderboard at $0.01/M input and $0.02/M output ($0.03 blended). GPT-5.6 Sol still leads GPQA at 94.6%.

    Should I always pick the #1 GPQA model?

    Not automatically. GPT-5.6 Sol leads GPQA, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh GPQA against input/output price, context window, and related evals.

    How often is the GPQA leaderboard updated?

    Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 31, 2026. Treat it as a current index, not a one-off blog post.

    What is GPQA?

    Graduate-Level Google-Proof Q&A — expert-written questions in biology, physics, and chemistry that resist simple search. This page ranks models that have published a GPQA score, with live API token prices on the same row. Official methodology: GPQA (GitHub) (https://github.com/idavidrein/gpqa).

    Where is the GPQA leaderboard?

    This page is the GPQA leaderboard. Models are sorted by GPQA, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.

    How is this GPQA ranking different from the official board?

    The official GPQA (GitHub) page owns the methodology. This page keeps the published GPQA score next to live API $/M so you can pick a production SKU, not only a trophy number. Source: https://github.com/idavidrein/gpqa