Nex-N2.5 — local AI model by Nex-AGI

Written by Jakub Rusinowski · Last updated

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.

Nex-AGI GitHub Hugging Face

Variants

The smallest Nex-N2.5 variant needs about 22 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache.

ModelVRAM
Nex-N2.5 mini →
35B (3B active)
~21.9 GB
Nex-N2.5 Pro →
397B (17B active)
~240.5 GB
Nex-N2.5 Max →
1.6T (49B active)
~966.8 GB

Memory is quantized weights plus overhead at Q4_K_M, from the same engine as the GPU & VRAM checker.

How to run Nex-N2.5 locally

Install Ollama, then pull the tag.

ollama run nex-n2-5

Pick a size above for its own VRAM figure, speed estimate and install command.

Licence

Custom Open-WeightCommercial use permitted

Weights are downloadable and commercial use is permitted, subject to the licence’s acceptable-use terms.

Applies to: Nex-N2.5 mini, Nex-N2.5 Pro, Nex-N2.5 Max

Recommended GPU

The cheapest catalogued GPU that runs Nex-N2.5 locally (min 22 GB VRAM) is the NVIDIA GeForce RTX 5090 (32 GB).

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NVIDIA GeForce RTX 5090 32GB
32 GB VRAM · 575 W board power
2026 prices are volatile — check the current listing.

Can I run Nex-N2.5 on my GPU?

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?

Nex-N2.5 has no local Ollama tag — the published tag is cloud-hosted, so running it sends your prompts to a hosted GPU rather than your own machine.