Nex-AGI35B (3B active)~22 GB VRAM at Q4_K_M

Nex-N2.5 mini — VRAM, speed & local setup

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Written by Jakub Rusinowski · Last updated September 8, 2026

The only Nex model a consumer card holds at all: 21.9 GB of weights at Q4_K_M, 23.8 GB once an 8K KV cache is added — tight on a 24 GB 4090, comfortable on a 32 GB 5090. Reads 3B parameters per token, which is why a 35B model decodes at small-model speed. Scores 73.4 on Terminal-Bench 2.1 and 83.4 on BrowseComp — the latter within 10 points of the 1.6T Max. Parameter counts are inherited from the Nex-N2 base rather than published for N2.5 directly.

Nex-N2.5 mini needs about 22 GB of VRAM at Q4_K_M — quantized weights plus framework overhead, before any KV cache. On Apple Silicon that figure comes out of unified memory.

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VRAM and speed by quantization

Quoted against NVIDIA RTX 4090 (24 GB). Weights plus overhead only: this model's architecture is unpublished, so no KV cache is added.

Quant	VRAM	Speed (est.)	Fit
Q2_K 2.63 bpw	12.3 GB	~209 tok/s	Fits
Q3_K_M 3.41 bpw	15.7 GB	~193 tok/s	Fits
Q4_K_M 4.83 bpw	21.9 GB	~170 tok/s	Tight
Q5_K_M 5.67 bpw	25.6 GB	~24 tok/s	Offload
Q6_K 6.56 bpw	29.5 GB	~22 tok/s	Offload
Q8_0 8.50 bpw	38 GB	~19 tok/s	Offload
F16 16.00 bpw	70.8 GB	—	Too big

Black marker = usable memory on the NVIDIA RTX 4090 (24 GB). Estimates from the memory-bandwidth roofline on the methodology page. Nex-N2.5 mini VRAM calculator →

Get Nex-N2.5 mini running

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

Buy this hardware NVIDIA GeForce RTX 5090 32GB — 32 GB VRAM · 575 W board power Deploy in the cloud now RTX 4090 on RunPod — from $0.34/hr · rate checked 2026-07

or compare on Vast.ai from $0.35/hr (typical low · varies)

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NVIDIA GeForce RTX 5090 32GB

32 GB VRAM · 575 W board power

2026 prices are volatile — check the current listing.

Check price on Amazon

How to run Nex-N2.5 mini

Install Ollama, then run:

$ollama run nex-n2-5

Weights on Hugging Face: nex-agi/Nex-N2.5-mini ↗

Specifications

Preview — The model is released, but these specs are thin or rest on a single source. Individual fields may be wrong.

Parameters: 35 Billion (3B active)
Context window: 262,144
Architecture: Mixture-of-Experts (Qwen3.5-35B-A3B base, multimodal)
Provider: Nex-AGI
Licence: Open-weight (terms unpublished)
Practical deployment: Single consumer GPU
Specified at: Q4_K_M
System RAM: 32 GB
Record updated: 2026-09-08

LicenceCustom Open-WeightCommercial use permitted

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

Quality and use cases

Scores as published by the model’s authors or an independent evaluator — quality, not throughput, and not measured by us.

Best foragentic taskscodingconsumer gpumultimodal

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

Other Nex-N2.5 sizes

Nex-N2.5 mini — frequently asked questions

How much VRAM does Nex-N2.5 mini need?

About 22 GB at Q4_K_M — quantized weights plus framework overhead, before any KV cache. The cache grows with context length and is added on top; the table above folds it in. Apple Silicon counts unified memory toward the same figure.

Does Nex-N2.5 mini run on an RTX 4090 (24 GB)?

Yes. Nex-N2.5 mini needs about 22 GB at Q4_K_M, inside a 24 GB card, at an estimated 170 tokens/sec.

How do I run Nex-N2.5 mini locally?

Install Ollama and run `ollama run nex-n2-5`. That pulls the weights and starts a local OpenAI-compatible endpoint; after the download nothing leaves the machine.

What other sizes does Nex-N2.5 come in?

Nex-N2.5 mini (22 GB), Nex-N2.5 Pro (240 GB), Nex-N2.5 Max (967 GB). Every size shares the family's training and licence; the larger ones score higher and need proportionally more memory.