DeepSeek: R1✓ Catalog verified
DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model & technical report. MIT licensed: Distill & commercialize freely!
Overview
DeepSeek R1 is here: Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass. Fully open-source model & technical report. MIT licensed: Distill & commercialize freely!
Access: available through the official DeepSeek API. Context window: 64K.
Specifications
| API identifier | deepseek/deepseek-r1 |
| Provider | DeepSeek |
| Model type | Text LLM |
| Context window | 64K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Jan 20, 2025 |
| Tokenizer | DeepSeek |
| Instruction format | deepseek-r1 |
| Moderated | No |
| Architecture modality | text->text |
API defaults
{
"top_k": null,
"top_p": null,
"temperature": null,
"presence_penalty": null,
"frequency_penalty": null,
"repetition_penalty": null
}Pricing
Live pricing components for deepseek/deepseek-r1 as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $7e-7 | $0.70 / 1M | Per input token |
| Completion tokens | $0.0000025 | $2.50 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.85Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | ✓ Supported | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call DeepSeek: R1 through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="deepseek/deepseek-r1",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| WizardLM-2 8x22B | Microsoft | 66K | $0.62 | View → |
| AllenAI: Olmo 3 32B Think | Allenai | 66K | $0.15 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does DeepSeek: R1 cost?
$0.70 per 1M input tokens and $2.50 per 1M output tokens on the official DeepSeek API.
What is the context window of DeepSeek: R1?
DeepSeek: R1 supports up to 64K tokens of context.
Does DeepSeek: R1 support tool / function calling?
Yes, DeepSeek: R1 supports tool / function calling — you can register tools and the model will emit structured tool calls.
How do I access DeepSeek: R1?
Use the official DeepSeek API with the model id `deepseek/deepseek-r1`. See the Quick start section above for code examples.