DeepSeek V3.2 Exp Thinking API

DeepSeek's DeepSeek V3.2 Exp Thinking, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.

Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send deepseek-v3.2-exp-thinking as the model.
Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.

Facts

Model name: deepseek-v3.2-exp-thinking
Maker: DeepSeek
Context window: 163.8K tokens
Input price: $0.280 per million tokens
Output price: $0.420 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.280 input and $0.420 output per million tokens, $0.280 cache read per million tokens, 163.8K tokens of context

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v3.2-exp-thinking",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is DeepSeek V3.2 Exp Thinking?: DeepSeek V3.2 Exp Thinking is a model from DeepSeek.
How much does DeepSeek V3.2 Exp Thinking cost?: Offers now ask $0.280 per million input tokens and $0.420 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
What is the context length of DeepSeek V3.2 Exp Thinking?: The largest offer takes 163,840 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
What can DeepSeek V3.2 Exp Thinking do?: Its providers list Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
What inputs and outputs does DeepSeek V3.2 Exp Thinking support?: Text → Text.
Which providers serve DeepSeek V3.2 Exp Thinking?: 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
How do I call DeepSeek V3.2 Exp Thinking?: Send "deepseek-v3.2-exp-thinking" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was DeepSeek V3.2 Exp Thinking listed?: The exchange first listed it on 10/10/2026. This is not its release date.

DeepSeek V3.2 Exp Thinking API

Facts

Providers

Request

Questions

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