DeepSeek V3.2 is an open-weight reasoning model excelling at agentic workflows, integrating chain-of-thought into tool use with strong math, coding, and agent capabilities across multiple interaction modes.
Supported languages
Seclai Content Tools
Inspect source documents connected to your account. Includes tools for loading full content, reading character ranges, searching within documents, viewing stats, and listing available content sources. When a source_connection_content_version_id is provided in agent run metadata it is used as the default. Otherwise the model can discover content via list_content_sources.
Seclai Knowledge Base
Search your knowledge bases using semantic similarity. Includes search_knowledge_base and list_knowledge_bases. When a knowledge_base_id is provided in the prompt or agent run metadata it is used as the default. Otherwise the model can discover available knowledge bases at runtime.
Seclai Memory Banks
Manage persistent memory across agent runs. Includes tools for listing memory banks, writing entries, searching memory via semantic similarity, and loading entries in chronological order. Supports two memory types: 'conversation' (speaker-attributed turns) and 'general' (freeform text). Use key to organize entries by topic, session, or user.
| Type | Credits | Units |
|---|---|---|
| Input | 8.25 | Credits per 1k tokens |
| Output | 25.93 | Credits per 1k tokens |
No variants available for this model.
