DeepSeek AIOpen-weight·66K context·671B params·MIT
DeepSeek R1deepseek/deepseek-r1
DeepSeek R1 is an open-weight reasoning model in the o1-class trained with reinforcement learning. Exposes visible chain-of-thought with top-tier math and competitive-coding benchmarks. MIT licensed.
Cheapest blended:$0.96 / 1M tokenson DeepSeek · 2 providers listed
Pricing across providers
Sort by:
| Provider | Input /1M | Output /1M | Blended /1M | Latency p50 | Format | Freshness | Action |
|---|---|---|---|---|---|---|---|
| DeepSeek deepseek-reasoner | $0.55 | $2.19 | $0.96 | 920ms | OpenAI-compatible | Verified 3d ago | Try → |
| Together.ai deepseek-ai/DeepSeek-R1 | $3.00 | $7.00 | $4.00 | 350ms | OpenAI-compatible | Verified 3d ago | Try → |
Affiliate disclosure: We may earn a commission from qualified signups. Pricing independence is enforced at the data layer — see our Editorial Independence Policy.
Works with
Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).
Capabilities
- reasoning
- math
- coding
- chain_of_thought
Languages: en, zh
Benchmarks
Code samples
Example using DeepSeek — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.deepseek.com/v1",
)
response = client.chat.completions.create(
model="deepseek-reasoner",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
Technical specs
- Context
- 66K
- Max output
- 8K
- Parameters
- 671B
- Release
- 2025-01-20
- Training cutoff
- 2024-10-01
- License
- MIT
Similar models
Compare with
- DeepSeek R1 vs DeepSeek Chat V3.1Comparison planned — not yet published
- DeepSeek R1 vs DeepSeek V3Compare side-by-side →
- DeepSeek R1 vs Hunyuan LargeComparison planned — not yet published
Frequently asked
How much does DeepSeek R1 cost?+−
The cheapest public hosting is $0.96 per 1M blended tokens on DeepSeek. 2 total providers are listed above with per-input / per-output / cached pricing.
How do I access DeepSeek R1 from outside China?+−
All hostings listed above support global access. The official API (e.g. api.deepseek.com, dashscope-intl.aliyuncs.com) accepts international credit cards and does not require a Chinese mobile number. For privacy-sensitive workloads, third-party aggregators like Together.ai host the model on US/EU infrastructure.
Is DeepSeek R1 open-source? Can I fine-tune it?+−
Yes. DeepSeek R1 is open-weight under the MIT license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is DeepSeek R1 OpenAI-compatible?+−
Most listed hostings expose an OpenAI-compatible API, so you can point an existing
openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.What's the maximum context window for DeepSeek R1?+−
The model supports up to 65,536 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.