Model Library
DeepSeekReleased January 20, 2025DeepSeek R1 (Jan)
DeepSeek · Released January 20, 2025
Intelligence score
19
At a glance
- Intelligence
- 19
- Speed
- —
- Latency
- —
- Input price
- $1.68per 1M tokens
- Output price
- $4.70per 1M tokens
- Context window
- 130Ktokens
- Parameters
- 685billions
Summary
Comparison summary
DeepSeek R1 (Jan '25) scores 19 on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 25). DeepSeek R1 (Jan '25) costs $1.68 per 1M input tokens (at the higher end, median: $0.59) and $4.70 per 1M output tokens (at the higher end, median: $2.20), based on the median across providers serving the model.
Specifications
Technical specifications
| Model name | DeepSeek R1 (Jan) |
|---|---|
| Provider | DeepSeek |
| Release date | January 20, 2025 |
| Intelligence score | 19 |
| Speed | — |
| Latency (TTFT) | — |
| Input price | $1.68 / 1M tokens |
| Output price | $4.70 / 1M tokens |
| Context window | 130,000 tokens |
| Parameters | 685B |
| Reasoning | Yes |
| Input modalities | text |
| Output modalities | — |
| Open weights | Yes |
| License | MIT |
| API availability | — |
| Source | Model Intelligence legacy profile: deepseek-r1-0120 |
Pricing
Token prices
Price per 1M tokens
DeepSeek R1 (Jan), as listed in the catalog record
- Input$1.68
- Output$4.70
| Token type | Price per 1M |
|---|---|
| Input | $1.68 |
| Output | $4.70 |
Model Intelligence legacy profile: deepseek-r1-0120
FAQ · 19
Frequently asked questions
DeepSeek R1 (Jan '25) was released on January 20, 2025.
DeepSeek R1 (Jan '25) was created by DeepSeek.
DeepSeek R1 (Jan '25) scores 19 on the Artificial Analysis Intelligence Index, placing it below average among other open weight models of similar size (median: 25).
DeepSeek R1 (Jan '25) costs $1.68 per 1M input tokens (at the higher end, median: $0.59) and $4.70 per 1M output tokens (at the higher end, median: $2.20), based on the median across providers serving the model.
DeepSeek R1 (Jan '25) costs $1.68 per 1M input tokens and $4.70 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $1.98 per 1M tokens. Pricing may vary by provider.
When evaluated on the Intelligence Index, DeepSeek R1 (Jan '25) generated 43M output tokens, which is very competitive compared to other open weight models of similar size (median: 92M).
Yes, DeepSeek R1 (Jan '25) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
DeepSeek R1 (Jan '25) supports text input.
DeepSeek R1 (Jan '25) supports text output.
No, DeepSeek R1 (Jan '25) does not support image input. It can only process text.
No, DeepSeek R1 (Jan '25) is not multimodal. It only supports text input.
DeepSeek R1 (Jan '25) has a context window of 130k tokens. This determines how much text and conversation history the model can process in a single request.
Yes, DeepSeek R1 (Jan '25) is open weights. The model weights are publicly available and can be downloaded for self-hosting.
DeepSeek R1 (Jan '25) has 685 billion parameters (37 billion active).
DeepSeek R1 (Jan '25) is a Mixture of Experts (MoE) model with 685 billion total parameters, but only 37 billion active parameters are used during inference.
DeepSeek R1 (Jan '25) is released under the MIT license. This license allows commercial use.
DeepSeek R1 (Jan '25) achieves a score of 19 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, DeepSeek R1 (Jan '25) is available via API through 6 providers.
DeepSeek R1 (Jan '25) is available through 6 API providers.