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Nex-N2.5-Pro

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Nex-N2.5-Pro is Nex-AGI's Apache-2.0 multimodal agent checkpoint for computer use, browsing, and coding.

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Nex-N2.5-Pro is the mid SKU in Nex-AGI's Nex-N2.5 agent family. The Hugging Face card lists license Apache-2.0, pipeline text-generation, and architecture qwen3_5_moe. Hugging Face showed 595 likes and 12,260 downloads in the last month on 2026-09-12. createdAt is 2026-09-08. Safetensors on the API total about 396.8B parameters. r/LocalLLaMA titled a hot post "Nex N2.5 Pro (407GB) released"; treat that disk figure as a community label, not a first-party byte count.

The family also ships mini and Max. Max is described as a 1.6T text-only MoE. This page is the Pro checkpoint, not Max and not Nex-N2.5-mini.

Compare Nex-N2.5-mini if you wanted the 35B recipe, Qwen3.8-Flash-Next if you wanted Alibaba's sparse open MoE, or GLM-5.3-Flash if you wanted a cheap hosted fast SKU.

Key Features

  • Agentic multimodal: card says mini and Pro keep Nex-N2's computer-use, browsing, and visually grounded agent path. Vision is framed as a way to verify outcomes, not only an input.
  • Thinking modes: reasoning_effort of "none", "medium" (default adaptive), or "high". Chat template uses that field, not a generic enable_thinking flag.
  • Serving: customized SGLang image nexagi/sglang:v0.5.18-nex-patch. Pro recipe is a single node with 8 x H100, --tp 8, --reasoning-parser qwen3, --tool-call-parser qwen3_coder.
  • Sampling on the card: temperature 0.7, top_p 0.95, top_k 40.
  • Hosted path: OpenRouter listed nex-agi/nex-n2.5-pro:free at $0 / $0 with context 262,144 on 2026-09-12. Recheck that slug before you promise a free seat.

Limitation: the GitHub mirror nex-agi/Nex-N2.5 had 96 stars on 2026-09-12. Benchmark tables on the card are first-party, often run with NexAU / NexCUA harnesses. We did not rerun them. 595 likes is a heat signal, not an audit.

Specs

Item Value Source
Parameters (safetensors) ~396.8B HF API, 2026-09-12
License Apache-2.0 HF card
Likes / last-month downloads 595 / 12,260 HF API, 2026-09-12
Serve recipe 8 x H100, tp 8 same card
OpenRouter Pro $0 in / $0 out (:free), 262,144 ctx OpenRouter API, 2026-09-12
Software price $0 weights Apache-2.0

Card-cited Pro scores (treat as vendor numbers): Terminal-Bench 2.1 82.7, SWE-Bench Pro 61.2, OSWorld-Verified 82.2, BrowseComp 89.7.

Use Cases

  • Local agent teams who can spare eight H100s and want an Apache-2.0 computer-use checkpoint larger than mini.
  • People comparing Nex-N2.5 sizes who need Pro, not the 1.6T Max and not Nex-N2.5-mini.
  • r/LocalLLaMA readers who saw the 407GB hot-list title.

If you needed a dense local 27B chat model, start with Qwen3.8-27B.

Getting Started

  1. Open nex-agi/Nex-N2.5-Pro.
  2. Pull nexagi/sglang:v0.5.18-nex-patch and mount the weights.
  3. Launch with --tp 8 --reasoning-parser qwen3 --tool-call-parser qwen3_coder and the Pro chat template.
  4. Set reasoning_effort to "medium" unless you want always-on or no thinking.

First-party resource: Nex-N2.5-Pro model card. Website: nex-agi.com.

Frequently Asked Questions

Is Pro the same as Max?

No. Mini and Pro are multimodal. Max is the trillion-scale text-only MoE.

Can I run it on two H100s?

The published Pro recipe is 8 x H100. Mini's recipe is 2 x H100. Confirm VRAM before you promise a smaller box.

Are the SWE numbers comparable to Claude Opus 5?

The card table puts Pro below Opus 5 on SWE-Bench Pro (61.2 vs 79.2). Those are vendor rows.

Alternatives

Tips

  1. Use the Nex SGLang image. A stock wheel may miss the chat template.
  2. Recheck OpenRouter :free before you budget $0 inference.
  3. Do not copy Max or mini scores onto this Pro page.

Nex-N2.5-Pro is the Apache-2.0 ~397B agent checkpoint r/LocalLLaMA linked on 2026-09-12. Start at the Hugging Face card, then decide whether mini or a hosted :free seat already covers the work.

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