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DeepSeekOpen-weight·64K context·671B params·MIT

R1deepseek/deepseek-r1

DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....

Pricing across providers

No current verified API pricing is listed. See the official model documentation for availability and billing.

Capabilities

  • reasoning
  • math
  • coding
  • chain_of_thought

Languages: en, zh

Benchmarks

  • MMLU5-shot · official · source
    90.3%
  • HumanEval0-shot pass@1 · official · source
    89.1%

Technical specs

Context
64K
Max output
16K
Parameters
671B
Release
2025-01-20
Training cutoff
2024-10-01
License
MIT
Paper →Hugging Face →

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Frequently asked

How much does R1 cost?+
No current verified API pricing is listed. This does not mean the model is free or that a hosted API is currently available. Check the official model documentation below.
How do I access R1 from outside China?+
Availability, account verification and payment methods vary by provider and region. Check the official documentation and the selected provider's access requirements before integrating. A directory listing does not guarantee global API access.
Is R1 open-source? Can I fine-tune it?+
R1 has published weights. License: MIT. Review the linked repository and license for deployment, fine-tuning and commercial-use conditions.
What's the maximum context window for R1?+
The model supports up to 64,000 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.