DeepSeek R1 Pricing
ReasoningDeepSeek · 64K tokens context
DeepSeek R1 from DeepSeek costs $0.550 per 1 million input tokens and $2.19 per 1 million output tokens as of June 2026. The model supports a 64,000-token context window (approximately 48,000 words) with a 8K-token maximum output. A typical 1,000-token request costs $0.0006 in input charges; a 10,000-token request costs $0.0055.
| Input price | $0.550 / 1M tokens |
|---|---|
| Output price | $2.19 / 1M tokens |
| Output / input ratio | 4.0× |
| Context window | 64,000 tokens (~48,000 words) |
| Maximum output | 8,000 tokens |
| Cost per 1K tokens (input) | $0.0006 |
| Tier | Reasoning |
| Last verified |
DeepSeek R1 is the open-weight reasoning model that disrupted the reasoning-model market by matching o1-class performance at a tiny fraction of the cost. Chain-of-thought is exposed by default.
Input Price
$0.550
per 1 million tokens
Output Price
$2.19
per 1 million tokens
Context Window
64K tokens
max 8K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000733 | $0.000876 |
| 10-page document (2,500 words) | 3,333 | $0.00183 | $0.00219 |
| 1,000 lines of code | 5,000 | $0.00275 | $0.00329 |
| 100K token document | 100,000 | $0.055 | $0.0657 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Reasoning capability rivaling o-series at much lower cost
- ✓Open weights enable self-hosting
- ✓Exposed chain-of-thought
Limitations
- –Smaller context
- –Reasoning tokens count toward output cost
Best Use Cases
Calculate DeepSeek R1 Costs
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Open Calculator →DeepSeek R1 — FAQ
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