POST /v1/chat/completionsDeepSeek R1
deepseek-r1DeepSeek R1 is the reasoning-focused DeepSeek model, widely referenced for open reasoning traces and strong math, logic, and coding performance. It shares the large MoE profile of the V3 generation but is trained and presented around deliberate reasoning rather than general chat alone. It is best described for tasks where the answer requires decomposition, verification, or step-by-step problem solving.
Total Context
128Ktokens
Max Output
32.8Ktokens
Released
Jan 20, 2025
Modalities
DeepSeek R1 Price
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.5714/M | $2.2857/M | $0.2286/M |
DeepSeek R1 API
DeepSeek R1 Benchmark
DeepSeek R1 (Jan '25)
12.6
/100
Artificial Analysis Intelligence Index
Artificial Analysis broad capability aggregate
Index score
15.9
/100
Artificial Analysis Coding Index
Artificial Analysis software task aggregate
Index score
68
/100
Artificial Analysis Math Index
Artificial Analysis math reasoning aggregate
Index score
Knowledge & Reasoning
MMLU-Pro
Advanced multi-task knowledge
84.4%
GPQA
Advanced science problem solving
70.8%
HLE
Broad expert-level exam set
9.3%
Coding & Engineering
LiveCodeBench
Live coding problems
61.7%
SciCode
Scientific coding challenges
35.7%
Terminal-Bench Hard
Hard terminal task execution
6.1%
Math
MATH-500
Advanced math problem solving
96.6%
AIME
Competition math problems
68.3%
AIME 2025
Competition math problems
68%
Instruction Following & Agent Tasks
IFBench
Prompt constraint adherence
39.0%
AA-LCR
Long-context reasoning
52.3%
τ²-Bench
Agent workflow tasks
11.4%
Metrics sourced from Artificial Analysis
DeepSeek R1 FAQ
DeepSeek R1: capabilities, use cases, limits, and TokenHub guidance.
What is DeepSeek R1 built for?+
DeepSeek R1 is a DeepSeek model for open-weight, reasoning-intensive problem solving.
When is DeepSeek R1 most useful?+
Best for mathematical reasoning, code reasoning and scientific reasoning, especially when deep reasoning is the priority.
What distinguishes DeepSeek R1?+
Key strength: reasoning-focused post-training with openly released weights.
What should I watch for?+
Deep reasoning can increase response time and token use. For the latest capabilities matter, consider DeepSeek V4 Pro.
How do I check availability?+
Use TokenHub's exact ID; hosted behavior may differ from self-hosting.
Media and Discussions
Selected public videos and posts related to this model.
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