Model specification · DeepSeek
R1
deepseek/deepseek-r1
DeepSeek R1 is here: Performance on par with [OpenAI o1](/openai/o1), but open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass....
SpecificationsReported values
- Context window
- 164K
- Maximum output
- 16K
- Architecture
- text->text
- Tokenizer
- DeepSeek
- Knowledge cutoff
- 2024-07-31
- Moderated
- No
- Input modalities
- text
- Output modalities
- text
Full pricingUSD where reported
| Price | Standard |
|---|---|
| Input | $0.700 / M |
| Output | $2.50 / M |
Benchmark indexesReported indexes
- Intelligence
- 18.5
- Coding
- 24.6
- Agentic
- 3.1
- Design Arena Elo
- —
Example workload costsStandard pricing only
| Workload | Input / output | Cache share | Estimated cost |
|---|---|---|---|
| Quick check | 10K / 1K × 1 | 0% | $0.00950 |
| Long analysis | 100K / 4K × 1 | 50% | $0.080 |
| Workday | 20K / 2K × 1,000 | 30% | $19.00 |
More from DeepSeekAll DeepSeek models
| Model | Context | Input / M | Output / M | Intel. |
|---|---|---|---|---|
| DeepSeek V4 Flash 0731 | 1.0M | $0.090 | $0.180 | 49.9 |
| DeepSeek V4 Pro | 1.0M | $0.435 | $0.870 | 44.3 |
| DeepSeek V3.2 | 164K | $0.269 | $0.400 | 32 |
| DeepSeek V3.1 Terminus | 164K | $0.270 | $1.00 | 30.4 |
| DeepSeek V3 0324 | 164K | $0.270 | $1.12 | 15.4 |