R1
text->text
Open-weights reasoning model with chain-of-thought trained via RL. Comparable to o1 on math benchmarks at a fraction of the price.
R1 is a reasoning AI model from DeepSeek. It costs $0.700 per million input tokens and $2.500 per million output tokens (blended $1.240/M), with a 64,000-token context window.
Profile inherited from upstream DeepSeek-R1 ↗ — this is a hosted variant of the same open-weights model.
INPUT
$0.700/M
per million input tokens
OUTPUT
$2.500/M
per million output tokens
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
Scores inherited from DeepSeek-R1 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
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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DeepSeek-R1
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Reasoning · 64,000 ctx
in $0.550/Mout $2.190/M
Frequently asked questions
How much does R1 cost?
R1 costs $0.700 per million input tokens and $2.500 per million output tokens, for a blended reference rate of $1.240 per million tokens.
What is R1's context window?
R1 supports up to 64,000 tokens of context in a single request.
What is R1 best for?
R1 is well suited to Open-weights reasoning, Visible chain-of-thought and Math & code.
Who makes R1?
R1 is developed and served by DeepSeek.