DeepSeek-V3.2
Summary
DeepSeek-V3.2 is an open-weight language model from DeepSeek, released on 2 Dec 2025. It accepts text and generates text, with a 164K-token context window and up to 64K output tokens per response. As of 4 Oct 2026, the lowest listed API price is $0.26 per million input tokens and $0.38 per million output tokens (DeepInfra), across 9 providers we track.
DeepSeek chat model for instruction following, coding, and analysis
Last verified 4 Oct 2026. Every figure on this page links to its source.
Specifications
| Developer | DeepSeek |
|---|---|
| Release date | 2 Dec 2025 [models.dev] |
| Status | Generally available [models.dev] |
| Weights | Open weights [Hugging Face] |
| License | mit [Hugging Face] |
| Parameters | 685B [Hugging Face] |
| Context window | 164K (163,840 tokens) [models.dev] |
| Max output | 64K tokens [models.dev] |
| Knowledge cutoff | Dec 2024 [models.dev] |
| Input | Text [models.dev] |
| Output | Text [models.dev] |
| Reasoning mode | Yes [models.dev] |
| Tool calling | Yes [models.dev] |
| Structured output | Yes [models.dev] |
| Hugging Face | deepseek-ai/DeepSeek-V3.2 [Hugging Face] |
DeepSeek-V3.2 API pricing by provider
USD per million tokens. Sorted by input price.
| Provider | Input | Output | Cached input | Context | Source |
|---|---|---|---|---|---|
| DeepInfra deepseek-ai/DeepSeek-V3.2 | $0.26 | $0.38 | $0.13 | 164K | models.dev, 4 Oct 2026 |
| Novita AI deepseek/deepseek-v3.2 | $0.27 | $0.40 | $0.13 | 164K | models.dev, 4 Oct 2026 |
| SiliconFlow deepseek-ai/DeepSeek-V3.2 | $0.27 | $0.42 | $0.14 | 164K | models.dev, 4 Oct 2026 |
| Hugging Face Inference Providers deepseek-ai/DeepSeek-V3.2 | $0.28 | $0.40 | – | 164K | models.dev, 4 Oct 2026 |
| OpenRouter deepseek/deepseek-v3.2 | $0.28 | $0.42 | $0.03 | 131K | OpenRouter, 4 Oct 2026 |
| FriendliAI deepseek-ai/DeepSeek-V3.2 | $0.50 | $1.50 | $0.25 | 164K | models.dev, 4 Oct 2026 |
| Azure AI Foundry deepseek-v3.2 | $0.58 | $1.68 | – | 128K | models.dev, 4 Oct 2026 |
| Amazon Bedrock deepseek.v3.2 | $0.62 | $1.85 | – | 164K | models.dev, 4 Oct 2026 |
| Vercel AI Gateway deepseek/deepseek-v3.2 | $0.62 | $1.85 | – | 128K | models.dev, 4 Oct 2026 |
Frequently asked questions
What is the context window of DeepSeek-V3.2?
DeepSeek-V3.2 has a context window of 163,840 tokens (164K) and can generate up to 64,000 tokens in a single response, according to models.dev.
How much does the DeepSeek-V3.2 API cost?
DeepSeek-V3.2 is listed from $0.26 per million input tokens and $0.38 per million output tokens (DeepInfra). Prices last verified 4 Oct 2026.
Is DeepSeek-V3.2 open source?
DeepSeek-V3.2 is an open-weight model: its weights are published on Hugging Face as deepseek-ai/DeepSeek-V3.2 under the mit license. Check the license terms before commercial use.
When was DeepSeek-V3.2 released?
DeepSeek released DeepSeek-V3.2 on 2 Dec 2025, according to models.dev.
Which providers offer DeepSeek-V3.2?
We track DeepSeek-V3.2 on 9 providers: DeepInfra, Novita AI, SiliconFlow, Hugging Face Inference Providers, OpenRouter, FriendliAI, Azure AI Foundry, Amazon Bedrock, Vercel AI Gateway.
Change history
No changes detected since we started tracking this model. We re-check every source daily.
Sources
- https://openrouter.ai/deepseek/deepseek-v3.2
- https://github.com/sst/models.dev/blob/dev/providers/deepinfra/models/deepseek-ai/DeepSeek-V3.2.toml
- https://huggingface.co/deepseek-ai/DeepSeek-V3.2
- https://github.com/sst/models.dev/blob/dev/providers/novita-ai/models/deepseek/deepseek-v3.2.toml
- https://github.com/sst/models.dev/blob/dev/providers/siliconflow/models/deepseek-ai/DeepSeek-V3.2.toml
- https://github.com/sst/models.dev/blob/dev/providers/huggingface/models/deepseek-ai/DeepSeek-V3.2.toml
- https://github.com/sst/models.dev/blob/dev/providers/friendli/models/deepseek-ai/DeepSeek-V3.2.toml
- https://github.com/sst/models.dev/blob/dev/providers/azure/models/deepseek-v3.2.toml
- https://github.com/sst/models.dev/blob/dev/providers/amazon-bedrock/models/deepseek.v3.2.toml
- https://github.com/sst/models.dev/blob/dev/providers/vercel/models/deepseek/deepseek-v3.2.toml