Nex-N2-Pro is Nex AGI's flagship agentic model, designed around a single principle: turning reasoning into action rather than producing polished answers in isolation. Where many frontier systems treat coding, browsing, tool calling, and planning as separate skills stitched together by prompting, Nex-N2-Pro runs them through one unified reasoning loop the team calls Agentic Thinking. That framework pairs Adaptive Thinking, which lets the model decide how deeply to reason before each move, with what Nex AGI describes as an Agentic Harness for environment execution, debugging, and iteration. The result is a system built less for chat benchmarks and more for sustained, real-world productivity workflows where the model has to keep working until a task is actually done.

The Pro variant is a 397-billion-parameter mixture-of-experts model with roughly 17 billion active parameters, built on the Qwen 3.5 architecture and released as open weights, with a 262K-token context window for both text and image inputs. Nex AGI positions it as a coding and long-horizon specialist, and on Terminal-Bench 2.1 it posts a 75.3 score that sits ahead of Claude Opus 4.7 and DeepSeek V4 Pro, while remaining competitive on SWE-bench Pro and DeepSWE. Its strengths show up best in agentic coding environments, multi-step software tasks, and tool-using workflows that benefit from a single thinking-plus-acting loop. Practically, it fits teams that want a self-hosted, open-weight flagship aimed at reliable end-to-end task execution rather than pure conversational fluency.