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DR1 0528OPEN

May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens.

164KContext window · tokens
$0.5Input price · per M tokens
$2.15Output price · per M tokens
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Benchmarks & performance

Independent benchmark scores for R1 0528, measured by Artificial Analysis. Higher is better. Measurement mode: May '25.

Intelligence index20.4
Math index76
GPQA81.3%
MMLU-Pro84.9%
Humanity's Last Exam15.8%
Long Context Reasoning56.7%
LiveCodeBench77%
SciCode40.3%
MATH-50098.3%
AIME89.3%
AIME 202576%
IFBench39.6%
τ²-Bench36.5%
Terminal-Bench Hard15.9%
💰 Blended price$1.763 / 1M tokens
📈 Value11.6 intelligence points per $
vs. models measured heretop 62%
Scores higher than 38% of the 273 models measured by Artificial Analysis and tracked here.
Models at this level cost $0.85 per 1M tokens (median of 23) — this one costs $0.91.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash · Gemini 3.7 Flash (batch) and 57 more
Benchmark data by Artificial Analysis

About this model

R1 0528 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 0528?

R1 0528 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 20.4 on the Artificial Analysis intelligence index.

Is R1 0528 free?

The weights are free and open — you can self-host R1 0528 and pay nothing per token. If you prefer a hosted API, list prices are $0.5 per million input tokens and $2.15 per million output tokens.

What is R1 0528 good at?

Independent benchmarks from Artificial Analysis give it GPQA 81.3%, MMLU-Pro 84.9%, Humanity's Last Exam 15.8%, Long Context Reasoning 56.7%, LiveCodeBench 77%, SciCode 40.3%, MATH-500 98.3%, AIME 89.3%, AIME 2025 76%, IFBench 39.6%, τ²-Bench 36.5%, Terminal-Bench Hard 15.9%. It is particularly used for mathematical reasoning.

Can I self-host R1 0528?

Yes. R1 0528 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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