R1 Distill Llama 70B Pricing
ReasoningDeepSeek · 131K tokens context
R1 Distill Llama 70B from DeepSeek costs $0.700 per 1 million input tokens and $0.800 per 1 million output tokens as of June 2026 (live OpenRouter data). The model supports a 131,072-token context window (approximately 98,304 words) with a 16K-token maximum output. A typical 1,000-token request costs $0.0007 in input charges; a 10,000-token request costs $0.0070.
| Input price | $0.700 / 1M tokens |
|---|---|
| Output price | $0.800 / 1M tokens |
| Output / input ratio | 1.1× |
| Context window | 131,072 tokens (~98,304 words) |
| Maximum output | 16,384 tokens |
| Cost per 1K tokens (input) | $0.0007 |
| Tier | Reasoning |
| Last verified |
DeepSeek R1 Distill Llama 70B is a distilled large language model based on Llama-3. 3-70B-Instruct, using outputs from DeepSeek R1.
Input Price
$0.700
per 1 million tokens
Output Price
$0.800
per 1 million tokens
Context Window
131K tokens
max 16K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000933 | $0.00032 |
| 10-page document (2,500 words) | 3,333 | $0.00233 | $0.0008 |
| 1,000 lines of code | 5,000 | $0.0035 | $0.0012 |
| 100K token document | 100,000 | $0.07 | $0.024 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $0.70/1M input tokens
- ✓Step-by-step chain-of-thought reasoning
- ✓Strong general-purpose performance
Limitations
- –Higher latency; reasoning tokens add to output cost
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate R1 Distill Llama 70B Costs
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