DeepSeek R1
DeepSeekDeepSeek R1 by DeepSeek costs $0.55/M input, $2.19/M output with 128K context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.
Input Price
$0.55
per 1M tokens
Output Price
$2.19
per 1M tokens
Context Window
128K
tokens
Specifications
| Provider | DeepSeek |
| Model ID | deepseek-r1 |
| Input Price | $0.55 / 1M tokens |
| Output Price | $2.19 / 1M tokens |
| Context Window | 128K tokens |
| Max Output | 8K tokens |
| Capabilities | textfunction_calling |
| Release Date | 2025-01 |
| Notes | Reasoning model with chain-of-thought. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $0.41 | $4.93 |
| 50K | $2.06 | $24.66 |
| 100K | $4.11 | $49.32 |
| 500K | $20.55 | $246.60 |
| 1.0M | $41.10 | $493.20 |
About DeepSeek R1
DeepSeek R1 is a large language model by DeepSeek. It features a 128K token context window with up to 8K tokens of output per request. The model supports 2 capabilities: text, function_calling.
At $0.55 per million input tokens and $2.19 per million output tokens, DeepSeek R1 is positioned as a cost-effective option in the DeepSeek lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
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FAQ
How much does DeepSeek R1 cost?
DeepSeek R1 costs $0.55 per million input tokens and $2.19 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $4.94/month.
What is DeepSeek R1's context window?
DeepSeek R1 supports a context window of 128K tokens. This means your combined input prompt and output response can be up to 128K tokens. The maximum output per response is 8K tokens.
Is DeepSeek R1 good for my use case?
DeepSeek R1 supports text, function_calling. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.