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DeepSeek: DeepSeek V3.2 Exp

deepseek/deepseek-v3.2-exp

⚙ tool calling

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...

specs & pricing
Type
text
Provider
deepseek
Model ID
deepseek/deepseek-v3.2-exp
Capabilities
tools, reasoning
Context window
164K tokens
Input price
$0.30 / 1M tokens
Output price
$0.45 / 1M tokens

Cloud price is billed from prepaid credits when a request fails over to the cloud. Open-weight models run free on GPUs you own — the gateway routes to your nodes first.

What it costs to run

cloud · 1M in + 1M out

$0.75

$0.30 for a million input tokens plus $0.45 for a million output tokens, billed from credits only when a request fails over to the cloud.

your hardware

cloud only

DeepSeek: DeepSeek V3.2 Exp is a hosted model, so it is always served from the cloud. Route easy traffic to an open model on your own hardware and keep this one for the requests that need it.

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Call DeepSeek: DeepSeek V3.2 Exp through one OpenAI-compatible endpoint.

Mix it with open models on your own hardware — the gateway routes each request to the cheapest place that can serve it.

no credit card · 2 nodes free · openai-compatible

Frequently asked questions

What is the context window of DeepSeek: DeepSeek V3.2 Exp?
DeepSeek: DeepSeek V3.2 Exp accepts up to 163,840 tokens (164K) of context per request.
How much does DeepSeek: DeepSeek V3.2 Exp cost per million tokens?
Through Wide Area Intelligence, DeepSeek: DeepSeek V3.2 Exp costs $0.30 per 1M input tokens and $0.45 per 1M output tokens when served from the cloud, billed from prepaid credits. A workload of 1M input plus 1M output tokens costs $0.75.

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