Infinitebench En Mc

    🏆 Leaderboard

    As of August 20, 2026, Llama 3.2 3B Instruct is #1 for Infinitebench En Mc at 63.3%. Ranked by the Infinitebench En Mc score 1 models in this index have a published Infinitebench En Mc score. Infinitebench En Mc leaderboard: rank models by Infinitebench En Mc next to live API token prices.

    Updated August 20, 2026282 models33 providers
    Llama 3.2 3B InstructOSS
    Meta · Open Source
    63.3%$0.03lowest
    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

    StepFun

    1 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Which model leads Infinitebench En Mc right now?

    As of August 20, 2026, Llama 3.2 3B Instruct by Meta is #1 for Infinitebench En Mc at 63.3%. Ranked by the Infinitebench En Mc score This board also tracks Infinitebench En Mc. This infinitebench en mc leaderboard ranks models by Infinitebench En Mc. 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 infinitebench en mc. Ranked by the Infinitebench En Mc score Input and output are dollars per million tokens.
    RankModelInfinitebench En McInput /MOutput /M
    1Llama 3.2 3B Instruct63.3%$0.01$0.02

    Infinitebench En Mc FAQ

    Who ranks #1 on the Infinitebench En Mc leaderboard?

    As of August 20, 2026, Llama 3.2 3B Instruct by Meta ranks #1 on Infinitebench En Mc at 63.3%. API pricing is $0.01/M input and $0.02/M output.

    Which infinitebench en mc model is the cheapest?

    Llama 3.2 3B Instruct currently leads Infinitebench En Mc and is also the cheapest scored model on this page, at $0.01/M input and $0.02/M output ($0.03 blended).

    Should I always pick the #1 Infinitebench En Mc model?

    Not automatically. Llama 3.2 3B Instruct leads Infinitebench En Mc, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Infinitebench En Mc against input/output price, context window, and related evals.

    How often is the Infinitebench En Mc 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 Infinitebench En Mc?

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

    Where is the Infinitebench En Mc leaderboard?

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

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