DeepSeek R1
DeepSeek R1 — DeepSeek large language model (2025) with a 128K-token context window and an MMLU score of 90.8%, released with open weights.
Key specifications
| MMLU (capability) | 90.8% |
|---|---|
| Context window (K tokens) | 128 |
| Input price ($/1M) | 0.6 |
| Output price ($/1M) | 2.2 |
About DeepSeek R1
The DeepSeek R1 is a large language model from DeepSeek with a 128K-token context window and an MMLU score of 90.8%. It is open weights, so it can be self-hosted. MMLU measures general knowledge and reasoning; real-world quality also depends on coding, tool use, latency and safety.
The comparisons below show how DeepSeek R1 stacks up against the alternatives people most often weigh against it, with the specific numbers laid out side by side.
Frequently asked questions
Is the DeepSeek R1 any good?
DeepSeek R1 — DeepSeek large language model (2025) with a 128K-token context window and an MMLU score of 90.8%, released with open weights.
What are the key specs of the DeepSeek R1?
See the specification table above for the full breakdown.