DeepSeek V3.1 pricing
DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context training process, reaching up to 128K tokens, and uses FP8 microscaling for efficient inference. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-tokens#enable-reasoning-with-default. Live index: 1 priced offer. Best input $0.200 per million tokens from Openrouter. Best output $0.800 per million tokens from Openrouter.
Pricing across providers
Every row is a seller of DeepSeek V3.1 with token pricing we track. The cheapest input in this snapshot is from Openrouter. The bar chart shows the same input and output dollars per million for a quick scan.
| Provider | Input / 1M | Output / 1M | Cached input | Batch |
|---|---|---|---|---|
O Openrouter | $0.200 | $0.800 | — | — |
Input vs output · 1M tokens
Cost calculator
The calculator uses the same dollars per million tokens as the table. Adjust sliders to see how DeepSeek V3.1 cost scales with traffic.
0.020000¢ / req
0.040000¢ / req
Model specifications
These fields describe DeepSeek V3.1 as we store it (source: Deepseek). They sit next to price so buyers can check limits and tools in one place.
- Context window
- 163,840 tokens
- Max output
- 163,840 tokens
- Vision (images)
- No
- Tool / function calling
- Yes
- Streaming
- No
- Released
- Aug 2025
- Primary provider
- Deepseek
- Model family
- N/A
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Frequently asked questions
Read these after the table if you want plain language around DeepSeek V3.1 rates. The short model note from our index: DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. It extends the DeepSeek-V3 base with a two-phase long-context trainin...
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