Qwen3 Next 80B A3B Instruct excels at fast, stable responses for coding, reasoning, and knowledge tasks with ultra-long context support, optimized for RAG, tool use, and agentic agents.
Qwen 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 | 2.00 | Credits per 1k tokens |
| Output | 15.96 | Credits per 1k tokens |
No variants available for this model.
