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DR1OPEN

DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens.

64KContext window · tokens
$0.7Input price · per M tokens
$2.5Output price · per M tokens
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Prices update automatically — checked daily against provider list prices.

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Benchmarks & performance

Independent benchmark scores for R1, measured by Artificial Analysis. Higher is better. Measurement mode: Jan '25.

Intelligence index18.6
Coding index24.6
Math index68
GPQA70.8%
MMLU-Pro84.4%
Humanity's Last Exam8.5%
Long Context Reasoning56%
LiveCodeBench61.7%
SciCode35.7%
MATH-50096.6%
AIME68.3%
AIME 202568%
IFBench39%
τ²-Bench11.4%
τ-Bench Banking6.4%
Terminal-Bench19.1%
Terminal-Bench Hard6.1%
💰 Blended price$2.5 / 1M tokens
📈 Value7.4 intelligence points per $
vs. models measured heretop 69%
Scores higher than 31% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.88 per 1M tokens (median of 22) — this one costs $1.15.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 79 more
Benchmark data by Artificial Analysis

About this model

R1 is an open-weight AI model by DeepSeek. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.

Frequently asked questions

What is R1?

R1 is an AI language model from DeepSeek. It is open-weight: you can download it and run it on your own hardware, for free. It scores 18.6 on the Artificial Analysis intelligence index.

Is R1 free?

The weights are free and open — you can self-host R1 and pay nothing per token. If you prefer a hosted API, list prices are $0.7 per million input tokens and $2.5 per million output tokens.

What is R1 good at?

Independent benchmarks from Artificial Analysis give it GPQA 70.8%, MMLU-Pro 84.4%, Humanity's Last Exam 8.5%, Long Context Reasoning 56%, LiveCodeBench 61.7%, SciCode 35.7%, MATH-500 96.6%, AIME 68.3%, AIME 2025 68%, IFBench 39%, τ²-Bench 11.4%, τ-Bench Banking 6.4%, Terminal-Bench 19.1%, Terminal-Bench Hard 6.1%. It is particularly used for code generation.

Can I self-host R1?

Yes. R1 has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

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