DeepSeek V3.2

deepseek/deepseek-v3.2

DeepSeek-V3.2 is DeepSeek's open-weight, reasoning-first model released in December 2025 as the official successor to V3.2-Exp. It introduces DeepSeek Sparse Attention to reduce long-context training and inference compute and is DeepSeek's first model to integrate thinking directly into tool use, trained on agent data synthesized across more than 1,800 environments. It supports tool calling in both thinking and non-thinking modes, suiting agents and general reasoning.

Input price
$0.25USD / 1M tokens
Output price
$0.38USD / 1M tokens
Cache read
$0.03USD / 1M tokens
Context window
131.1K
Max output
65.5K

Specifications

CapabilitiesChatReasoningStructured outputFunction calling
Input
Text
Output
Text
Available

Questions

FAQ

How do I call DeepSeek V3.2 through SandBase?

Create a SandBase API key, then send requests with the model ID "deepseek/deepseek-v3.2" to Chat Completions API (/v1/chat/completions) at https://api.sandbase.ai. The request examples on this page show the exact payload.

How much does DeepSeek V3.2 cost?

$0.25 per 1M input tokens and $0.38 per 1M output tokens, billed per request from your SandBase balance. Discounts, when available, are shown in the pricing on this page.

What is the context window of DeepSeek V3.2?

131.1K tokens of context, with up to 65.5K output tokens per response.

Which features does DeepSeek V3.2 support?

DeepSeek V3.2 supports reasoning, function calling, structured output. See Specifications above for the full list.

Do I need a separate DeepSeek account?

No. One SandBase API key and balance gives you access to DeepSeek V3.2 and the other models in the catalog; you do not need to sign up with DeepSeek separately.