Amo Bench

    ๐Ÿ† Leaderboard

    As of August 30, 2026, MAI-Code-1-Flash is #1 for Amo Bench at 40%. Ranked by the Amo Bench score 1 models in this index have a published Amo Bench score. Amo Bench leaderboard: rank models by Amo Bench next to live API token prices.

    Updated August 30, 2026345 models36 providers
    MAI-Code-1-Flash
    Microsoft ยท Proprietary
    40%$0.75
    ChatGPT-4o Latest
    OpenAI ยท Proprietary
    โ€”$12.50
    Claude 3 Haiku
    Anthropic ยท Proprietary
    โ€”$1.50
    Claude 3 Opus
    Anthropic ยท Proprietary
    โ€”$90.00
    Claude 3 Sonnet
    Anthropic ยท Proprietary
    โ€”$18.00
    Claude 3.5 Haiku
    Anthropic ยท Proprietary
    โ€”$4.80
    Claude 3.5 Sonnet
    Anthropic ยท Proprietary
    โ€”$18.00
    Claude 3.5 Sonnet
    Anthropic ยท Proprietary
    โ€”$18.00
    Claude 3.7 Sonnet
    Anthropic ยท Proprietary
    โ€”$18.00
    Claude Fable 5
    Anthropic ยท Proprietary
    โ€”$60.00
    Claude Haiku 4.5
    Anthropic ยท Proprietary
    โ€”$6.00
    Claude Mythos 5
    Anthropic ยท Proprietary
    โ€”$60.00
    Claude Mythos Preview
    Anthropic ยท Proprietary
    โ€”$60.00
    Claude Opus 4
    Anthropic ยท Proprietary
    โ€”$90.00
    Claude Opus 4.1
    Anthropic ยท Proprietary
    โ€”$90.00
    Claude Opus 4.5
    Anthropic ยท Proprietary
    โ€”$30.00
    Claude Opus 4.6
    Anthropic ยท Proprietary
    โ€”$30.00
    Claude Opus 4.7
    Anthropic ยท Proprietary
    โ€”$30.00
    Claude Opus 4.8
    Anthropic ยท Proprietary
    โ€”$30.00
    Claude Opus 5
    Anthropic ยท Proprietary
    โ€”$30.00
    Claude Sonnet 4
    Anthropic ยท Proprietary
    โ€”$18.00
    Claude Sonnet 4.5
    Anthropic ยท Proprietary
    โ€”$18.00
    Claude Sonnet 4.6
    Anthropic ยท Proprietary
    โ€”$18.00
    Claude Sonnet 5
    Anthropic ยท Proprietary
    โ€”$12.00
    Codestral-22BOSS
    Mistral ยท Open Source ยท via Mistral AI
    โ€”$1.20
    Command A+OSS
    Cohere ยท Open Source
    โ€”$12.50
    Command R+OSS
    Cohere ยท Open Source
    โ€”$1.25
    Composer 2
    Cursor ยท Proprietary
    โ€”$3.00
    Composer 2 Fast
    Cursor ยท Proprietary
    โ€”$9.00
    DeepSeek R1 Distill Llama 70BOSS
    DeepSeek ยท Open Source
    โ€”$0.50
    DeepSeek R1 Distill Qwen 32BOSS
    DeepSeek ยท Open Source
    โ€”$0.30
    DeepSeek VL2OSS
    DeepSeek ยท Open Source ยท via Replicate
    โ€”$2.80
    DeepSeek VL2 SmallOSS
    DeepSeek ยท Open Source ยท via Replicate
    โ€”$1.70
    DeepSeek VL2 TinyOSS
    DeepSeek ยท Open Source ยท via Replicate
    โ€”$0.90
    DeepSeek-R1OSS
    DeepSeek ยท Open Source
    โ€”$2.74
    DeepSeek-R1-0528OSS
    DeepSeek ยท Open Source
    โ€”$2.74
    DeepSeek-V2.5OSS
    DeepSeek ยท Open Source
    โ€”$0.42
    DeepSeek-V3OSS
    DeepSeek ยท Open Source
    โ€”$1.37
    DeepSeek-V3 0324OSS
    DeepSeek ยท Open Source
    โ€”$1.42
    DeepSeek-V3.1OSS
    DeepSeek ยท Open Source
    โ€”$1.27
    DeepSeek-V3.2OSS
    DeepSeek ยท Open Source ยท via OpenRouter
    โ€”$0.57
    DeepSeek-V3.2 (Non-thinking)OSS
    DeepSeek ยท Open Source
    โ€”$0.70
    DeepSeek-V3.2-ExpOSS
    DeepSeek ยท Open Source
    โ€”$0.68
    DeepSeek-V4-Flash-0423OSS
    DeepSeek ยท Open Source
    โ€”$0.30
    DeepSeek-V4-Flash-0731OSS
    DeepSeek ยท Open Source
    โ€”$1.76
    DeepSeek-V4-Flash-MaxOSS
    DeepSeek ยท Open Source
    โ€”$0.42
    DeepSeek-V4-Flash-Vision-Exp
    DeepSeek ยท Proprietary
    โ€”$0.88
    DeepSeek-V4-Pro-0813OSS
    DeepSeek ยท Open Source
    โ€”$5.28
    DeepSeek-V4-Pro-MaxOSS
    DeepSeek ยท Open Source
    โ€”$5.22
    Devstral Medium
    Mistral ยท Proprietary ยท via Mistral AI
    โ€”$2.40
    Showing 1โ€“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 โ€” every model page stays linked here.

    Baidu

    2 models

    Inception

    1 models

    inclusionAI

    1 models

    LG AI Research

    1 models

    Liquid AI

    2 models

    Nous Research

    1 models

    OpenBMB

    1 models

    Sakana AI

    1 models

    Sarvam AI

    2 models

    Tencent

    1 models

    Thinking Machines

    1 models

    Unisound

    1 models

    Upstage

    1 models

    Which model leads Amo Bench right now?

    As of August 30, 2026, MAI-Code-1-Flash by Microsoft is #1 for Amo Bench at 40%. Ranked by the Amo Bench score This board also tracks Amo Bench. This amo bench leaderboard ranks models by Amo Bench. 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 amo bench. Ranked by the Amo Bench score Input and output are dollars per million tokens.
    RankModelAmo BenchInput /MOutput /M
    1MAI-Code-1-Flash40%$0.15$0.60

    Amo Bench FAQ

    Who ranks #1 on the Amo Bench leaderboard?

    As of August 30, 2026, MAI-Code-1-Flash by Microsoft ranks #1 on Amo Bench at 40%. API pricing is $0.15/M input and $0.60/M output.

    Which amo bench model is the cheapest?

    MAI-Code-1-Flash currently leads Amo Bench and is also the cheapest scored model on this page, at $0.15/M input and $0.60/M output ($0.75 blended).

    Should I always pick the #1 Amo Bench model?

    Not automatically. MAI-Code-1-Flash leads Amo Bench, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Amo Bench against input/output price, context window, and related evals.

    How often is the Amo Bench leaderboard updated?

    Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 30, 2026. Treat it as a current index, not a one-off blog post.

    What is Amo Bench?

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

    Where is the Amo Bench leaderboard?

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

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