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Ep 626 Tool 1:31 w/ Jessica & Cathy

Nex N2 mini: A 35B Model Built for Autonomous Agents | HackerNoon

Exploring the Nex-N2-mini, a 35B-parameter open-source agentic language model designed for autonomous agents and complex tasks.

AgentsNew ModelsLaunchNex N2 MiniQwen3 5 35b A3bTool Use And Function CallingAgentic LoopsFeedback Control LoopTool
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Transcript

Jessica Hey Cathy, have you seen this new model, Nex-N2-mini? It's a 35B-parameter open-source agentic language model built for autonomous agents.

Cathy Yeah, I checked it out. It's based on the Qwen3.5-35B-A3B architecture and implements an 'Agentic Thinking' framework. This framework unifies reasoning, tool use, and environment execution into a single closed loop.

Jessica That's really interesting. It claims to handle complex, long-horizon tasks with environmental feedback. How does it perform on benchmarks?

Cathy It scores 50.2 on SWE-Bench Pro and 60.7 on Terminal-Bench 2.1. These scores make it suitable for automated bug fixing, code review, and terminal command execution.

Jessica I've seen that it requires 2× H100 GPUs for single-node deployment. That's quite a hardware requirement. What about its limitations?

Cathy Well, it underperforms its larger sibling, Nex-N2-Pro, on nearly all benchmarks. And it struggles with complex multi-file refactoring and architectural decisions.

Jessica I see. So, who should actually care about this model? Does it change anything practical for developers or autonomous agent builders?

Cathy I think it's worth considering for teams building agentic workflows, especially those who need a balance between performance and hardware cost. However, the early adoption risk is high due to its recent release and limited community support.