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Specs

Model IDdeepseek/deepseek-v3.2-exp
Context window164K tokens
Max output147K tokens
Input price$0.27 / 1M tokens
Output price$0.41 / 1M tokens
Inputs → outputsText → Text
Open weightsYes

How to use DeepSeek V3.2 Exp in your app

The quickest way is through an API gateway such as OpenRouter, which uses the same format as the OpenAI API. Create a key, then send a request with the model ID deepseek/deepseek-v3.2-exp:

curl https://openrouter.ai/api/v1/chat/completions \ -H "Authorization: Bearer $OPENROUTER_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "deepseek/deepseek-v3.2-exp", "messages": [{"role": "user", "content": "Explain this in simple words..."}] }'

Prefer no code? Many tools in our AI tools directory run on models like this one.

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Questions about DeepSeek V3.2 Exp

What is DeepSeek V3.2 Exp?

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...

How big is the context window of DeepSeek V3.2 Exp?

DeepSeek V3.2 Exp can read up to 163,840 tokens in one request, roughly 122,880 words.

How much does DeepSeek V3.2 Exp cost?

Through OpenRouter, DeepSeek V3.2 Exp costs about $0.27 / 1M tokens for input and $0.41 / 1M tokens for output. Prices change, so check before large jobs.

Is DeepSeek V3.2 Exp open source?

DeepSeek V3.2 Exp has open weights, so you can download and run it yourself, subject to its licence.

What can DeepSeek V3.2 Exp take as input?

DeepSeek V3.2 Exp accepts text and produces text.

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Specs and prices come from OpenRouter and the provider, and are refreshed daily. Last checked 29 Sep 2025.

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