DeepSeek-R1
Key facts
- Released
- Jan 20, 2025
- What it does
- Text and chat: Writes, answers questions and holds a conversation.Code: Writes, explains and fixes code.Thinks first: Can reason step by step before it answers: slower, but better at maths, code and tricky questions.
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- How
- Free to download
- Size
- Parameters: The numbers a model learns during training: a rough measure of its size. Bigger usually means more capable, but slower and pricier to run. 7B means 7 billion.
- Announced as
- “DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning”
From trckr's archive of releases before it started watching. Date and details from Epoch AI's database of AI models (CC BY 4.0).
Price and limits
What developers pay to use it through the API: How developers plug a model into their own apps and pay per use. A model that's "in the API" can be used by programmers, even if it isn't in a chat app yet., per million Tokens: The small chunks of text a model reads and writes, about three-quarters of a word each. Prices and limits are counted in tokens. sent (input) or written back (output), and how much it can take in at once.
- Input
- $0.50
- per million tokensCached: $0.35
- Output
- $2.15
- per million tokens
- Context window: How much a model can keep in mind at once: your question, any files you share and its own replies. Measured in tokens; 1,000 tokens is about 750 words.
- 164K tokens
- about 120,000 words
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- Longest answer
- 33K tokens (about 25,000 words)
From OpenRouter, checked .
How it scores
From independent testers, never the lab's own claims.
- Combined test score#114 of 235
- GPT-6 Astra169
- 2GPT-6.1 Sol169
- 113DeepSeek-V3.1141
- 114DeepSeek-R1 (May 2025)141
- 115o3-mini141
Source: Epoch AI · Epoch Capabilities Index
Compare DeepSeek-R1 with
It came out 27 days after DeepSeek-V3 (Mar 2025), the lab's previous model.
The details
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