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Nex-N2-Pro

by Nex AGIReleased 8 June 2026

Nex-N2-Pro is an agentic mixture-of-experts model from Nex AGI, with 17B active parameters out of 397B total. Built on the Qwen3.5 architecture, it accepts text and image input and produces...

TakesTextImages
GivesText

Reads about 260 pages · writes up to 230 pages

Parameters you can send

Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.

Shaping the reply

How long, how varied, where to stop.

max_tokenstemperaturetop_ptop_kfrequency_penaltylogprobstop_logprobs

Reasoning

Let it think before answering — and see the thinking.

reasoninginclude_reasoning

Tools

Let the model call your functions.

toolstool_choice

Questions about Nex-N2-Pro

  • Is Nex-N2-Pro still on sale?

    No. Nex AGI has retired it. Other Nex AGI models are on sale.

  • What is Nex-N2-Pro best for?

    The lab has not said.

  • Does Nex-N2-Pro work in Arabic, French or Darja?

    Nex AGI names no languages for Nex-N2-Pro. Arabic, French and Darja: not stated.

  • Can it read PDFs, images or a whole book?

    It reads text and images. Up to 262K tokens in one request, about 260 pages. It writes up to 177 000 words at once.

  • Is Nex-N2-Pro open source?

    Yes, its weights are public. Open weights on Hugging Face

  • Who makes Nex-N2-Pro, and when was it released?

    Nex AGI. Released 8 June 2026.

Other Nex AGI models, priced in dinars

See all Nex AGI models
Nex-N2.5-ProNex AGI · Sep 8, 2026

Nex-N2.5-Pro reads text and pictures and writes text back, and it is built for coding that looks at the result on screen: it explores a codebase, changes several files, runs commands, opens the app, uses a browser or a desktop and checks the outcome as a user would. It also suits testing screens, automating a computer and deep research.

Thinks firstUses your tools260 pages at once
≈0,067 DAper message
View model
Nex-N2.5-MiniNex AGI · Sep 8, 2026

Nex-N2.5-Mini reads text and pictures and writes text back, and it is built to finish a task and prove it worked. It explores a codebase, edits several files, runs commands, launches the app, drives a browser or a desktop and tests as a user would, then revises when the result is wrong. It keeps about 256 pages in mind.

Thinks first260 pages at onceOpen weights
≈0,025 DAper message
View model