Top-tier reasoning: it holds a long chain of thought where 32B already loses track and handles problems with several interacting constraints. Slow and hungry — taken for a specific class of tasks, not for general chat.
| MATH-500 | 94.5 | |
|---|---|---|
| AIME 2024 | 70 | |
| GPQA Diamond | 65.2 |
Which GPU does DeepSeek-R1 70B need?
The entry configuration is 1x A100, which delivers around 22 tokens per second. For more parallel requests and headroom on speed, go with 1x H200.
How much does DeepSeek-R1 70B cost?
An hour of DeepSeek-R1 70B runs from $2.21 to $8.95 depending on the GPU configuration. Billing is hourly: you pay for server time, not for tokens.
How do I call DeepSeek-R1 70B from my code?
Once deployed you get an OpenAI-compatible endpoint: point any OpenAI client at the base_url you receive and pass deepseek-r1:70b as the model name. Code written against the OpenAI API needs no changes.
Does the data stay private?
Yes. DeepSeek-R1 70B runs on a dedicated GPU server inside a private environment: requests and responses never reach the model vendor and are not used for training.
What context window and license does DeepSeek-R1 70B have?
DeepSeek-R1 70B holds 16K tokens of context per request and ships under the MIT license, so you can use it commercially on your own hosting terms.