Nex-AGI Launches 1.6‑Trillion‑Parameter Agentic Model Nex‑N2.5‑Max
Nex‑AGI has unveiled the Nex‑N2.5 family, a new line of agentic models designed for long‑horizon tasks in real‑world settings. The lineup includes mini, Pro, and Max variants, with the Max model built on a 1.6‑trillion‑parameter Mixture‑of‑Experts foundation. This marks the first post‑training effort at trillion‑parameter scale for the company.
Key points
- Nex‑N2.5‑Max is a 1.6‑trillion‑parameter MoE model, the first post‑training effort at trillion‑parameter scale.
- The family supports computer use, web browsing, and visual feedback for continuous self‑correction.
- Weights are open‑source and hosted services are available on Hugging Face, ModelScope, and OpenRouter.
The models extend multimodal capabilities, enabling computer and browser interaction, autonomous program execution, and visual feedback for continuous self‑correction. Vision is treated as a critical interface, allowing agents to verify outcomes and drive tasks forward. Nex‑AGI also released open‑source weights and hosted services via Hugging Face, ModelScope, and OpenRouter, and provided Docker images and deployment scripts for easy integration.
Performance evaluations show the Nex‑N2.5 family outperforming several leading models on coding, agentic workflows, and multimodal benchmarks, with the Max variant achieving the highest scores in many categories. The release demonstrates progress in scaling agentic intelligence and offers developers a powerful tool for complex productivity and research tasks.
Nex N2.5 Pro (407GB) released
huggingface.co · 11 September 2026
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