What this page answers
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
- DeepSeek · deepseek/deepseek-v3.2-exp
- text->text · China model route
- 163,840 context · $0.27 input
Before connecting
Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.
- supports frequency_penalty
- supports include_reasoning
- supports logit_bias
- supports max_tokens
- supports min_p
Next action
The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.
- Check whether the model fits the use case
- Then verify key permission and callable models
