Question 1

What context window does DeepSeek-V3.2 support?

Accepted Answer

163,840 tokens (max_position_embeddings in the upstream config). DeepSeek Sparse Attention is specifically designed to keep long-context inference efficient, so the model remains practical near the top of that window.

Question 2

Does DeepSeek-V3.2 support function calling and tool use?

Accepted Answer

Yes. This generation introduces a revised tool-calling format and a thinking-with-tools mode in its chat template, and the model was post-trained on large-scale synthesized agentic tasks. Send OpenAI-style tools in your chat completion request via the gateway.

Question 3

Can I use DeepSeek-V3.2 commercially?

Accepted Answer

Yes. Both the repository and the model weights are released under the MIT license, which permits commercial use, modification, and redistribution.

Question 4

What does the TEE suffix mean?

Accepted Answer

The chute runs inference inside a Trusted Execution Environment, i.e. attested confidential-compute hardware. Prompts and outputs are processed inside the enclave. It is a serving-level property and does not change the model's behavior or output quality.

Question 5

How do I call it from the OpenAI SDK?

Accepted Answer

Point the client at base_url https://llm.chutes.ai/v1 with your Chutes API key, and set model to deepseek-ai/DeepSeek-V3.2-TEE. Both chat completions and legacy completions work, and streaming is supported.

Question 6

What sampling settings should I use?

Accepted Answer

DeepSeek recommends temperature 1.0 and top_p 0.95, which also match the repo's generation_config. The chute default is temperature 0.7, so pass the recommended values explicitly if you want reference behavior.

Question 7

Is DeepSeek-V3.2 a reasoning model?

Accepted Answer

Yes, it is post-trained with reinforcement learning for reasoning and emits thinking content via its chat template. DeepSeek reports performance comparable to GPT-5, with the separate high-compute Speciale variant going further on pure reasoning (but without tool calling).

DeepSeek V3.2

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DeepSeek V3.2

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