DeepSeek R1 is an open-source reasoning model trained with large-scale reinforcement learning, achieving performance comparable to OpenAI o1 in math, coding, and reasoning tasks with step-by-step chain-of-thought explanations.
DeepSeek uses the OpenAI API schema for message creation. We handle the model, stream, service_tier, safety_identifier, and user parameters.
Schema documentationSupported 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.
| Type | Credits | Units |
|---|---|---|
| Input | 17.95 | Credits per 1k tokens |
| Output | 71.82 | Credits per 1k tokens |
No variants available for this model.
