DeepSeek · Released Jan 20, 2025DeepSeek-R1
Classic open reasoning model for transparent math, coding, and deliberate problem solving.
- Capability
- 139.0ECI · #104 of 148
- Input
- $0.70per 1M tokens
- Output
- $2.60per 1M tokens
- Context
- 128K33K max output
What it costs
- Input
- $0.70per million tokens
- Output
- $2.60per million tokens
- Blended (3:1)
- $1.18pricier than 59% of priced models
Typical monthly bills
| Monthly usage | Estimated cost |
|---|---|
| Side project2M input + 0.5M output tokens | $2.70 |
| Team assistant25M input + 5M output tokens | $30.50 |
| Production app250M input + 50M output tokens | $305.00 |
Median of 11 paid API providers on models.dev.
Independent benchmarks
#104 of 148 scored models
The shaded band is Epoch AI’s confidence range (136.2–140.4); the tick marks the median scored model.
Scores from Epoch AI, run independently of DeepSeek.
The details
- Lab
- DeepSeek
- Released
- Jan 20, 2025
- Knowledge cutoff
- Jul 2024
- Context window
- 128,000 tokens
- Max output
- 32,768 tokens
- Inputs
- Text
- Output
- Text
- Reasoning
- Always on
- Tool calling
- Yes
- Structured output
- No
- Weights
- Open weights
- Availability
- 12 API providerslisted on models.dev
What DeepSeek claims
Published by the lab at launch. Settings vary, so compare these only with care.
More from DeepSeek
About DeepSeek-R1
How much does DeepSeek-R1 cost?
DeepSeek-R1 costs $0.70 input / $2.60 output per million tokens (median across 11 API providers). At a 3:1 input-to-output mix that is $1.18 per million tokens, more expensive than 59% of the 360 priced models we track.
What is the context window of DeepSeek-R1?
DeepSeek-R1 accepts up to 128,000 tokens per request and can write up to 32,768 tokens in one response.
How good is DeepSeek-R1?
Epoch AI gives DeepSeek-R1 a Capabilities Index score of 139.0 (likely range 136.2–140.4), ranking it #104 of 148 models Epoch has scored. Epoch AI benchmark results: GPQA Diamond 71.7%, OTIS Mock AIME 2024–2025 53.3%.
Is DeepSeek-R1 open source?
Yes. DeepSeek publishes the weights, so it can be downloaded and self-hosted.
What inputs does DeepSeek-R1 support?
DeepSeek-R1 accepts text and replies in text. It is a reasoning model, supports tool calling.
When was DeepSeek-R1 released?
DeepSeek released DeepSeek-R1 on Jan 20, 2025. Its training data runs to Jul 2024.
What are the best alternatives to DeepSeek-R1?
The closest current models from other labs on capability, price and release date are Qwen3 235B-A22B (Alibaba (Qwen), ECI 139.4, $0.70 / $2.80), Gemini 2.5 Flash (Google, ECI 140.8, $0.30 / $2.50), GPT-4.1 mini (OpenAI, ECI 135.0, $0.40 / $1.60) and Mistral Medium 3 (Mistral AI, ECI 134.1, $0.40 / $2.00).