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nex-agi/Nex-N2.5-Pro — new model trending #30 on Hugging Face

Hugging Face trending modelsby nex-agi ()6 min read3
AI summary · glm-5.3-flashSummaries by Vani AI

Nex-AGI launches Nex-N2.5 agentic model family (mini/Pro/Max), with Max built on a 1.6-trillion-parameter MoE foundation.

Nex-AGI introduced Nex-N2.5, a next-generation family of agentic models in three sizes (mini, Pro, Max) focused on long-horizon agentic tasks including computer use, web browsing, and autonomous program execution. Nex-N2.5-Max is built on a 1.6-trillion-parameter text-only Mixture-of-Experts foundation, marking the company's first complete post-training effort at trillion-parameter scale. Weights will be released open-source on Hugging Face and ModelScope, with hosted access via OpenRouter. Benchmark comparisons against Claude Opus 5, GPT-5.6 Sol, Kimi-K3, GLM-5.3, DeepSeek-V4-Pro-0813, and Qwen3.8-Max show competitive scores on Terminal-Bench 2.1 and SWE-Bench Pro, though weights were listed as "coming soon" at publication.

Key facts
  • Three model sizes: Nex-N2.5-mini, Nex-N2.5-Pro, and Nex-N2.5-Max
  • Max variant built on a 1.6-trillion-parameter text-only MoE foundation
  • Focus on agentic computer use, web browsing, and visually grounded self-correction
  • Open weights promised on Hugging Face/ModelScope; hosted access via OpenRouter
  • Pro scores 82.7 on Terminal-Bench 2.1 and 61.2 on SWE-Bench Pro
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From the original article

6 min read at huggingface.co

text-generation · 0 downloads · 152 likes · license apache-2. 0

Hugging Face trending models

By nex-agi · huggingface.co

Read the full article at Hugging Face trending models

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.