DeepSeek V3.2 Exp pricing
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism designed to improve training and inference efficiency in long-context scenarios while maintaining output quality. Users can control the reasoning behaviour with the `reasoning` `enabled` boolean. [Learn more in our docs](https://openrouter.ai/docs/use-cases/reasoning-t. Below you will find 2 current rows with input and output dollars per million. Right now the lowest input is $0.200 and the lowest output is $0.400.
Pricing across providers
All figures are list prices per million tokens unless a column says otherwise. 2 offers are listed for DeepSeek V3.2 Exp. Best input in this view: Openrouter.
| Provider | Input / 1M | Output / 1M | Cached input | Batch |
|---|---|---|---|---|
O Openrouter | $0.200 | $0.400 | — | — |
N Novita | $0.270 | $0.410 | — | — |
Input vs output · per provider
Cost calculator
The calculator uses the same dollars per million tokens as the table. Adjust sliders to see how DeepSeek V3.2 Exp cost scales with traffic.
Provider
0.020000¢ / req
0.020000¢ / req
Model specifications
Context length, caps, and capability flags for DeepSeek V3.2 Exp. Family: DeepSeek V3. Values follow the main provider (Deepseek) record in our index.
- Context window
- 163,840 tokens
- Max output
- 163,840 tokens
- Vision (images)
- No
- Tool / function calling
- Yes
- Streaming
- No
- Released
- Sep 2025
- Primary provider
- Deepseek
- Model family
- DeepSeek V3
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Frequently asked questions
Answers pull from the same numbers you see on this page. The short model note from our index: DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention...
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