Nex-N2-Pro
Open SourceNex AGI•Released on 2026-06-02
Nex-N2-Pro is an open-weights 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 is tuned for long-horizon agentic work, frontier coding, and tool use, with a 262K-token context window. Released and open-sourced under Apache 2.0 on 2026-06-02. Reported benchmarks include SWE-Bench Verified 80.8, Terminal-Bench 2.1 75.3, GPQA Diamond 90.7, and BrowseComp 83.7 — strong among open-weights models, though it trails closed frontier models (GPT-5.5, Claude Opus 4.7) on most coding suites.
Voice of the community
“New release: Nex-N2-Pro, a 397B parameter MoE model based on Qwen — open-sourced under Apache 2.0 with first-tier agentic and coding capabilities.”
“Nex-N2-Pro brings agentic thinking, frontier coding, and long-horizon execution to open weights.”
Core Specs
Scenario Scores
Pros & Cons
Pros
- +Open weights under permissive Apache 2.0 license — self-hostable and commercially usable
- +Strong agentic & coding benchmarks for an open model (SWE-Bench Verified 80.8, Terminal-Bench 2.1 75.3)
- +262K-token context with native text + image input
- +Efficient MoE: only 17B of 397B parameters active per token; free via OpenRouter and multiple hosted providers
Cons
- −Trails closed frontier models (GPT-5.5, Opus 4.7) on most coding suites (SWE-Bench Pro 58.8 vs Opus 4.7 64.3)
- −397B total parameters make self-hosting hardware-intensive
- −New provider with limited Western ecosystem, tooling, and independent third-party benchmarks
- −No first-party hosted API with SLA — relies on third-party inference providers