Nex-N2-Pro
Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces text output, and supports reasoning, function calling, and structured outputs. It is designed for coding, tool use, deep research, and long-horizon agentic workflows, unifying planning, code implementation, debugging, and iteration into a single execution loop.
nex-agi/nex-n2-pro
- Context
- 262k tokens
- Completion cap
- 262,144
- Tools
- Yes
- JSON
- No
- Released
- 2026-06-08
Call it from Geek Hub
Same OpenAI SDK. Change the base URL and the model id.
curl https://api.geekhub.mx/v1/chat/completions \
-H "Authorization: Bearer $GEEKHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nex-agi/nex-n2-pro",
"messages": [{"role": "user", "content": "Hola"}]
}'Get an API keyFrequently asked questions
- What is Nex-N2-Pro?
- Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces text output, and supports reasoning, function calling, and structured outputs. It is designed for coding, tool use, deep research, and long-horizon agentic workflows, unifying planning, code implementation, debugging, and iteration into a single execution loop. Nex-N2-Pro runs on the Geek Hub API (OpenAI-compatible). Model id: nex-agi/nex-n2-pro.
- Is Nex-N2-Pro free?
- No. Input is $0.2725 per 1M tokens and output is $1.0901 per 1M tokens on Geek Hub (markup included).
- What is the context length of Nex-N2-Pro?
- Nex-N2-Pro has a 262k tokens context window. It supports up to 262,144 completion tokens.
- Does Nex-N2-Pro support tool calling and structured outputs?
- Nex-N2-Pro accepts tools and tool_choice for function calling. Structured outputs are not listed for this endpoint.
- When was Nex-N2-Pro released?
- Nex-N2-Pro was released on 2026-06-08.