DeepSeek
DeepSeek
Reasoning

DeepSeek-R1

Reasoning

Open-weights reasoning model with chain-of-thought trained via RL. Comparable to o1 on math benchmarks at a fraction of the price.

DeepSeek-R1 is a reasoning AI model from DeepSeek. It costs $0.550 per million input tokens and $2.190 per million output tokens (blended $1.042/M), with a 64,000-token context window.

INPUT
$0.550/M
per million input tokens
OUTPUT
$2.190/M
per million output tokens
BLENDED 70/30
$1.042/M
unchanged since 3 May
CONTEXT
64,000
tokens
What it is good at
  • Open-weights reasoning
  • Visible chain-of-thought
  • Math & code
  • Cheap
Typical use cases
  • Reasoning agents
  • Math/STEM tools
  • Self-hosted reasoning

Benchmarks

vs. best public score
MMLU90%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH95%
High-school competition math problems.
Python function synthesis from docstrings.
Real GitHub issues solved end-to-end.
LMArena Elo1361 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does DeepSeek-R1 cost?

DeepSeek-R1 costs $0.550 per million input tokens and $2.190 per million output tokens, for a blended reference rate of $1.042 per million tokens.

What is DeepSeek-R1's context window?

DeepSeek-R1 supports up to 64,000 tokens of context in a single request.

What is DeepSeek-R1 best for?

DeepSeek-R1 is well suited to Open-weights reasoning, Visible chain-of-thought and Math & code.

Who makes DeepSeek-R1?

DeepSeek-R1 is developed and served by DeepSeek.

Compared with

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