DeepSeek V3.2 API

DeepSeek V3.2 is a large language model by DeepSeek, available on the Venice API as deepseek-v3.2. It runs privately, with zero data retention.DeepSeek-V3.2 is an efficient large language model with DeepSeek Sparse Attention (DSA) for long contexts. It features strong reasoning and tool-use skills, achieving top results on the 2025 IMO and IOI.

DeepSeek V3.2 API pricing

Model ID	Variant	Privacy	Price
`deepseek-v3.2`	Standard	Private	$0.33 input /$ 0.48 output per 1M tokens

DeepSeek V3.2 specifications

Spec	Value
Provider	DeepSeek
Released	Dec 4, 2025
Privacy	Private
Open weights	Yes
Context window	160K tokens
Max output	32K tokens
Reasoning effort	none, low, medium, high

How to use the DeepSeek V3.2 API

Send requests to POST https://api.venice.ai/api/v1/chat/completions with "model": "deepseek-v3.2" and your API key.

curl https://api.venice.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $VENICE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v3.2",
    "messages": [{ "role": "user", "content": "Explain TEE attestation in two sentences." }],
    "reasoning_effort": "low"
  }'

DeepSeek V3.2 API FAQ

How much does the DeepSeek V3.2 API cost?

0.33 per 1M input tokens and

0.48 per 1M output tokens, with cached input at $0.16 per 1M. Prices are in USD and can be paid in DIEM at parity.

What is the DeepSeek V3.2 model ID?

Use deepseek-v3.2 as the model parameter.

Is the DeepSeek V3.2 API private?

DeepSeek V3.2 is private: requests run on infrastructure Venice controls with zero data retention, and prompts and outputs are never stored or used for training.

What is the context window of DeepSeek V3.2?

160K tokens of context, with up to 32K output tokens per response.

What does DeepSeek V3.2 support?

DeepSeek V3.2 supports function calling, structured outputs, reasoning, web search and prompt caching. Reasoning effort is adjustable with reasoning_effort: none, low, medium and high (default low).

Which endpoint does the DeepSeek V3.2 API use?

Call POST /chat/completions. /responses (Alpha) is also supported.

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