Nex is a next-generation, full-stack agentic platform that brings foundation models, synthetic data pipelines, RL training, agent frameworks, and deployment tools together in one unified ecosystem.
DeepSeek-V3.1-Nex-N1.1 is the latest flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity.
We are committed to making it easier than ever to build and deploy AI agents by offering researchers and entrepreneurs a high-performance, reliable, and cost-effective "out-of-the-box" agent system.
Nex-series models support robust function-calling capabilities. To maximize the function-calling capabilities of the Nex-series models, we modified the tool parser of
qwen3_coder, see:
https://github.com/sgl-project/sglang/pull/13411. To enable this feature, simply add the
--tool-call-parser qwen3_coder flag when launching the server:
Nex-N1.1 is optimized for mini program development with enhanced 200K context support. For optimal performance, we recommend using Claude Code configured with both context7 and a search MCP.
1claude mcp add --transport http context7 https://mcp.context7.com/mcp --header "CONTEXT7_API_KEY: [CONTEXT7_API_KEY]"
2
3claude mcp add --transport stdio serper-search --env SERPER_API_KEY=[SERPER_API_KEY] -- npx -y serper-search-scrape-mcp-server
Refer to
https://github.com/upstash/context7 for more details on setting up
context7.
