Scienceqa Visual

    🏆 Leaderboard

    As of August 20, 2026, Phi-4-multimodal-instruct is #1 for Scienceqa Visual at 97.5%. Ranked by the Scienceqa Visual score 1 models in this index have a published Scienceqa Visual score. Scienceqa Visual leaderboard: rank models by Scienceqa Visual next to live API token prices.

    Updated August 20, 2026282 models33 providers
    Phi-4-multimodal-instructOSS
    Microsoft · Open Source
    97.5%$0.15
    ChatGPT-4o Latest
    OpenAI · Proprietary
    $12.50
    Claude 3 Haiku
    Anthropic · Proprietary
    $1.50
    Claude 3 Opus
    Anthropic · Proprietary
    $90.00
    Claude 3 Sonnet
    Anthropic · Proprietary
    $18.00
    Claude 3.5 Haiku
    Anthropic · Proprietary
    $4.80
    Claude 3.5 Sonnet
    Anthropic · Proprietary
    $18.00
    Claude 3.5 Sonnet
    Anthropic · Proprietary
    $18.00
    Claude 3.7 Sonnet
    Anthropic · Proprietary
    $18.00
    Claude Fable 5
    Anthropic · Proprietary
    $60.00
    Claude Haiku 4.5
    Anthropic · Proprietary
    $6.00
    Claude Mythos 5
    Anthropic · Proprietary
    $60.00
    Claude Mythos Preview
    Anthropic · Proprietary
    $60.00
    Claude Opus 4
    Anthropic · Proprietary
    $90.00
    Claude Opus 4.1
    Anthropic · Proprietary
    $90.00
    Claude Opus 4.5
    Anthropic · Proprietary
    $30.00
    Claude Opus 4.6
    Anthropic · Proprietary
    $30.00
    Claude Opus 4.7
    Anthropic · Proprietary
    $30.00
    Claude Opus 4.8
    Anthropic · Proprietary
    $30.00
    Claude Opus 5
    Anthropic · Proprietary
    $30.00
    Claude Sonnet 4
    Anthropic · Proprietary
    $18.00
    Claude Sonnet 4.5
    Anthropic · Proprietary
    $18.00
    Claude Sonnet 4.6
    Anthropic · Proprietary
    $18.00
    Claude Sonnet 5
    Anthropic · Proprietary
    $12.00
    Command A+OSS
    Cohere · Open Source
    $12.50
    Command R+OSS
    Cohere · Open Source
    $1.25
    Composer 2
    Cursor · Proprietary
    $3.00
    Composer 2 Fast
    Cursor · Proprietary
    $9.00
    DeepSeek R1 Distill Llama 70BOSS
    DeepSeek · Open Source
    $0.50
    DeepSeek R1 Distill Qwen 32BOSS
    DeepSeek · Open Source
    $0.30
    DeepSeek-R1OSS
    DeepSeek · Open Source
    $2.74
    DeepSeek-R1-0528OSS
    DeepSeek · Open Source
    $2.74
    DeepSeek-V2.5OSS
    DeepSeek · Open Source
    $0.42
    DeepSeek-V3OSS
    DeepSeek · Open Source
    $1.37
    DeepSeek-V3 0324OSS
    DeepSeek · Open Source
    $1.42
    DeepSeek-V3.1OSS
    DeepSeek · Open Source
    $1.27
    DeepSeek-V3.2OSS
    DeepSeek · Open Source · via OpenRouter
    $0.57
    DeepSeek-V3.2 (Non-thinking)OSS
    DeepSeek · Open Source
    $0.70
    DeepSeek-V3.2-ExpOSS
    DeepSeek · Open Source
    $0.68
    DeepSeek-V4-Flash-0423OSS
    DeepSeek · Open Source
    $0.30
    DeepSeek-V4-Flash-0731OSS
    DeepSeek · Open Source
    $1.76
    DeepSeek-V4-Flash-MaxOSS
    DeepSeek · Open Source
    $0.42
    DeepSeek-V4-Pro-0813OSS
    DeepSeek · Open Source
    $5.28
    DeepSeek-V4-Pro-MaxOSS
    DeepSeek · Open Source
    $5.22
    Devstral Medium
    Mistral · Proprietary · via Mistral AI
    $2.40
    Devstral Small 1.1OSS
    Mistral · Open Source · via Mistral AI
    $0.40
    ERNIE 4.5
    Baidu · Proprietary
    $4.40
    Gemini 1.0 Pro
    Google · Proprietary
    $2.00
    Gemini 1.5 Flash
    Google · Proprietary
    $0.75
    Gemini 1.5 Flash 8B
    Google · Proprietary
    $0.37
    Showing 150 of 282 models

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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

    Nous Research

    1 models

    Sakana AI

    1 models

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    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Which model leads Scienceqa Visual right now?

    As of August 20, 2026, Phi-4-multimodal-instruct by Microsoft is #1 for Scienceqa Visual at 97.5%. Ranked by the Scienceqa Visual score This board also tracks Scienceqa Visual. This scienceqa visual leaderboard ranks models by Scienceqa Visual. Scores come from public evals. Prices are the live API rates in the table above.

    Sources: 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 1 for scienceqa visual. Ranked by the Scienceqa Visual score Input and output are dollars per million tokens.
    RankModelScienceqa VisualInput /MOutput /M
    1Phi-4-multimodal-instruct97.5%$0.05$0.10

    Scienceqa Visual FAQ

    Who ranks #1 on the Scienceqa Visual leaderboard?

    As of August 20, 2026, Phi-4-multimodal-instruct by Microsoft ranks #1 on Scienceqa Visual at 97.5%. API pricing is $0.05/M input and $0.10/M output.

    Which scienceqa visual model is the cheapest?

    Phi-4-multimodal-instruct currently leads Scienceqa Visual and is also the cheapest scored model on this page, at $0.05/M input and $0.10/M output ($0.15 blended).

    Should I always pick the #1 Scienceqa Visual model?

    Not automatically. Phi-4-multimodal-instruct leads Scienceqa Visual, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Scienceqa Visual against input/output price, context window, and related evals.

    How often is the Scienceqa Visual 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 Scienceqa Visual?

    Scienceqa Visual is a public LLM eval (the Scienceqa Visual score). This page ranks models that have published a score, next to live API prices.

    Where is the Scienceqa Visual leaderboard?

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

    Official eval pages own the methodology. This page keeps the published Scienceqa Visual score next to live API $/M so you can pick a production SKU, not only a trophy number.