Nex-N2.5 — Local AI Model by Nex-AGI

Written by Jakub Rusinowski · Last updated September 8, 2026

The September 2026 agentic family from Nex-AGI, an innovation alliance initiated by the Shanghai Innovation Institute. Three sizes, all post-trains of other labs' base weights: mini and Pro continue the multimodal Qwen3.5 lineage of Nex-N2, while Max is the alliance's first trillion-scale post-train, built on a 1.6T text-only DeepSeek-V4-Pro base. Vision is treated as an action interface rather than an input mode — the models drive computers and browsers and check their own work from what appears on screen. Max takes BrowseComp at 92.6, ahead of every model in Nex's own comparison table. Only the 35B mini is realistically self-hostable.

Licence

LicenceWhat it permitsApplies to
Custom Open-WeightCommercial use permitted
Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.
Nex-N2.5 mini, Nex-N2.5 Pro, Nex-N2.5 Max

Hardware Requirements

Nex-N2.5 miniMin 22 GB VRAM · Q4_K_M · 262,144 ctx ·
Nex-N2.5 ProMin 240 GB VRAM · Q4_K_M · 262,144 ctx ·
Nex-N2.5 MaxMin 967 GB VRAM · Q4_K_M · 262,144 ctx ·

Recommended GPU

The cheapest GPU that runs Nex-N2.5 locally (min 22 GB VRAM) is the AMD Radeon RX 7900 XTX (24 GB).

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AMD Radeon RX 7900 XTX 24GB
24 GB VRAM · 355 W board power
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How to Run Locally

Install Ollama then run: ollama run

Minimum VRAM: 22 GB. For best results use Q4_K_M quantization.

Nex-N2.5 — Frequently Asked Questions

How much VRAM does Nex-N2.5 need?

Nex-N2.5 needs about 22 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Nex-N2.5 mini (22 GB, Q4_K_M); Nex-N2.5 Pro (240 GB, Q4_K_M); Nex-N2.5 Max (967 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Nex-N2.5 on an RTX 4090 (24 GB)?

Yes — Nex-N2.5 runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for Nex-N2.5?

Q4_K_M is the best balance of quality and VRAM for Nex-N2.5 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Nex-N2.5 with Ollama?

Install Ollama, then run: ollama run . This downloads Nex-N2.5 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.

Can I Run Nex-N2.5 on My GPU?