Reasoning model trained with reinforcement learning on top of DeepSeek V3-Base. MIT licence — even the weights are unrestricted, making R1 the most permissively-licensed frontier reasoning model. Generates long internal chains-of-thought before answering, trading latency for accuracy on math, code, and reasoning benchmarks. Distilled variants (e.g. R1 Distill Llama 70B) recover most of the quality at much smaller scales.
- Parameters
- 671B
- Context length
- 128K
- Modality
- text
- Released
- 2025-01-20
Memory & hardware
- VRAM (fp16)
- 1342 GB
- VRAM (Q4)
- 402.6 GB
- Recommended
- 8× H100 80GB
- Quantizations
- fp8, fp16, q4_k_m
Benchmarks
Hosted inference pricing
USD per million tokens.
| Provider | Input | Output | |
|---|---|---|---|
| deepinfraCheapest | $0.55 | $2.19 | |
| together | $3.00 | $7.00 |
Run it yourself
Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.
ollama run deepseek-r1:671b
vllm serve deepseek-ai/DeepSeek-R1
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/DeepSeek-R1")
model = AutoModelForCausalLM.from_pretrained(
"deepseek-ai/DeepSeek-R1", device_map="auto", torch_dtype="auto"
)deepseek-ai/DeepSeek-R1 Related models
Same family or similar size — useful when shopping around.
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- Context
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- License
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- License
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- Context
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- Context
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