DeepSeek R1 (legacy)
DeepSeekUpdated May 2026. DeepSeek R1 (legacy) by DeepSeek: $0.55/M cache-miss input, $2.19/M output tokens. 128K context, 8K max output. Function Calling. Free calculator + compare 40+ models.
Input Price
$0.55
cache miss / 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 cache-miss tokens |
| Output Price | $2.19 / 1M tokens |
| Context Window | 128K tokens |
| Max Output | 8K tokens |
| Capabilities | textfunction_calling |
| Release Date | 2025-01 |
| Pricing Source | Official DeepSeek pricing |
| Price Verified | 2026-05-24 · V4 Pro current 75% off pricing becomes the official 1/4-of-original price after 2026-05-31 15:59 UTC. |
| Notes | Legacy reasoning model. The current deepseek-reasoner alias maps to DeepSeek V4 Flash thinking mode. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split). Input estimates use cache-miss pricing, so cache-heavy workloads can be lower.
| 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 (legacy)
DeepSeek R1 (legacy) 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 cache-miss input tokens and $2.19 per million output tokens, DeepSeek R1 (legacy) 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.
DeepSeek R1 (legacy) Key Details
- Pricing: $0.55/M cache-miss input tokens, $2.19/M output tokens
- Context window: 128K tokens — good for standard conversations and tasks
- Max output: 8K tokens per response
- Capabilities: text, function_calling
- Highlights: Legacy reasoning model. The current deepseek-reasoner alias maps to DeepSeek V4 Flash thinking mode.
- Released: 2025-01
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FAQ
How much does DeepSeek R1 (legacy) cost?
DeepSeek R1 (legacy) costs $0.55 per million cache-miss input tokens and $2.19 per million output tokens. For a typical workload of 100K input tokens/day and 50K output tokens/day, expect approximately $4.94/month before cache-hit savings.
What is DeepSeek R1 (legacy)'s context window?
DeepSeek R1 (legacy) 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 (legacy) good for my use case?
DeepSeek R1 (legacy) 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.