MMMU

    🏆 Leaderboard

    As of August 20, 2026, Claude Opus 5 is #1 for MMMU at 89.9%. Ranked by MMMU: college-level questions on diagrams, charts, and images. 98 models in this index have a published MMMU score. Methodology: MMMU (https://mmmu-benchmark.github.io/). MMMU leaderboard with live API prices. Massive Multi-discipline Multimodal Understanding — evaluates multimodal reasoning across art, science, engineering, and more. Official methodology: MMMU (https://mmmu-benchmark.github.io/).

    Updated August 20, 2026282 models33 providers
    Claude Opus 5
    Anthropic · Proprietary
    89.9%$30.00
    Claude Fable 5
    Anthropic · Proprietary
    89.3%$60.00
    Gemini 3.7 Flash
    Google · Proprietary
    89.0%$4.50
    GPT-5.6 Sol
    OpenAI · Proprietary
    88.8%$35.00
    Gemini 3.6 Flash
    Google · Proprietary
    88.4%$4.50
    GPT-5.5
    OpenAI · Proprietary
    88.3%$35.00
    Gemini 3.5 Flash
    Google · Proprietary
    88.3%$10.50
    Gemini 3.1 Pro
    Google · Proprietary
    88.2%$17.50
    Kimi K3OSS
    Moonshot AI · Open Source
    88.2%$18.00
    Qwen3.8 MaxOSS
    Qwen · Open Source
    88.0%$8.00
    Gemini 3 Flash
    Google · Proprietary
    87.6%$3.50
    GPT-5.4
    OpenAI · Proprietary
    87.5%$17.50
    GPT-5.2
    OpenAI · Proprietary
    86.7%$15.75
    Muse Spark 1.1
    Meta · Proprietary
    86.6%$5.50
    Claude Opus 4.8
    Anthropic · Proprietary
    86.6%$30.00
    GPT-5.6 Terra
    OpenAI · Proprietary
    86.5%$14.00
    Kimi K2.6OSS
    Moonshot AI · Open Source
    86.3%$4.93
    Muse Spark 1.2
    Meta · Proprietary
    86.1%$5.50
    Qwen3.6 Plus
    Qwen · Proprietary
    86%$3.50
    Claude Opus 4.7
    Anthropic · Proprietary
    85.5%$30.00
    GPT-5.1 Thinking
    OpenAI · Proprietary
    85.4%$11.25
    GPT-5.1 Instant
    OpenAI · Proprietary
    85.4%$11.25
    GPT-5.1 Codex Mini
    OpenAI · Proprietary
    85.4%$2.25
    GPT-5.1
    OpenAI · Proprietary
    85.4%$11.25
    GPT-5.6 Luna
    OpenAI · Proprietary
    85.0%$1.40
    Qwen3.5-397B-A17BOSS
    Qwen · Open Source
    85%$4.20
    GPT-5
    OpenAI · Proprietary
    84.2%$11.25
    Qwen3.5-122B-A10BOSS
    Qwen · Open Source
    83.9%$3.60
    Gemini 3.5 Flash-Lite
    Google · Proprietary
    83.6%$2.80
    Grok 4.3
    xAI · Proprietary
    83.1%$3.75
    Claude Sonnet 5
    Anthropic · Proprietary
    83.0%$12.00
    Qwen3.6-27BOSS
    Qwen · Open Source
    82.9%$4.20
    o3
    OpenAI · Proprietary
    82.9%$10.00
    Gemini 3.1 Flash-Lite
    Google · Proprietary
    82.5%$1.75
    Qwen3.5-27BOSS
    Qwen · Open Source
    82.3%$2.70
    Gemini 2.5 Pro Preview 06-05
    Google · Proprietary
    82%$11.25
    Qwen3.6-35B-A3BOSS
    Qwen · Open Source · via OpenRouter
    81.7%$1.14
    o4-mini
    OpenAI · Proprietary
    81.6%$5.50
    GPT-5 mini
    OpenAI · Proprietary
    81.6%$2.25
    Qwen3.5-35B-A3BOSS
    Qwen · Open Source
    81.4%$2.25
    MiniMax M3OSS
    MiniMax · Open Source
    81.2%$1.50
    Gemini 3 Pro
    Google · Proprietary
    81%$14.00
    Claude Opus 4.5
    Anthropic · Proprietary
    80.7%$30.00
    Claude Haiku 4.5
    Anthropic · Proprietary
    80.7%$6.00
    MiMo-V2.5OSS
    Xiaomi · Open Source
    80%$0.50
    Gemini 2.5 Flash
    Google · Proprietary
    79.7%$2.80
    Gemini 2.5 Pro
    Google · Proprietary
    79.6%$11.25
    GPT-5.4 mini
    OpenAI · Proprietary
    79.3%$5.25
    Grok-3
    xAI · Proprietary
    78%$18.00
    o1
    OpenAI · Proprietary
    77.6%$75.00
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    The index

    All Large Language Models

    282 models across 33 providers. Search or jump to a lab — every model page stays linked here.

    Baidu

    1 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

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    1 models

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    1 models

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    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Which model leads MMMU right now?

    As of August 20, 2026, Claude Opus 5 by Anthropic is #1 for MMMU at 89.9%. Ranked by MMMU: college-level questions on diagrams, charts, and images. This board also tracks MMMU. Next on the same board: Claude Fable 5 and Gemini 3.7 Flash. This mmmu leaderboard ranks models by MMMU. Scores come from public evals. Prices are the live API rates in the table above.

    Sources: MMMU (https://mmmu-benchmark.github.io/); 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 mmmu. Ranked by MMMU: college-level questions on diagrams, charts, and images. Input and output are dollars per million tokens.
    RankModelMMMUInput /MOutput /M
    1Claude Opus 589.9%$5.00$25.00
    2Claude Fable 589.3%$10.00$50.00
    3Gemini 3.7 Flash89.0%$0.75$3.75
    4GPT-5.6 Sol88.8%$5.00$30.00
    5Gemini 3.6 Flash88.4%$0.75$3.75
    6Gemini 3.5 Flash88.3%$1.50$9.00
    7GPT-5.588.3%$5.00$30.00
    8Gemini 3.1 Pro88.2%$2.50$15.00

    MMMU FAQ

    Who ranks #1 on the MMMU leaderboard?

    As of August 20, 2026, Claude Opus 5 by Anthropic ranks #1 on MMMU at 89.9%. API pricing is $5.00/M input and $25.00/M output.

    What are the top models on MMMU?

    The current MMMU ranking as of August 20, 2026 is 1. Claude Opus 5 at 89.9%; 2. Claude Fable 5 at 89.3%; 3. Gemini 3.7 Flash at 89.0%.

    Which mmmu model is the cheapest?

    Llama 3.2 11B Instruct is the cheapest scored model on this mmmu leaderboard at $0.05/M input and $0.05/M output ($0.10 blended). Claude Opus 5 still leads MMMU at 89.9%.

    Should I always pick the #1 MMMU model?

    Not automatically. Claude Opus 5 leads MMMU, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh MMMU against input/output price, context window, and related evals.

    How often is the MMMU leaderboard updated?

    Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 20, 2026. Treat it as a current index, not a one-off blog post.

    What is MMMU?

    Massive Multi-discipline Multimodal Understanding — evaluates multimodal reasoning across art, science, engineering, and more. This page ranks models that have published a MMMU score, with live API token prices on the same row. Official methodology: MMMU (https://mmmu-benchmark.github.io/).

    Where is the MMMU leaderboard?

    This page is the MMMU leaderboard. Models are sorted by MMMU, 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 MMMU ranking different from the official board?

    The official MMMU page owns the methodology. This page keeps the published MMMU score next to live API $/M so you can pick a production SKU, not only a trophy number. Source: https://mmmu-benchmark.github.io/