Nex-N2-Pro

Nex-N2-Pro

정보에 대해서Nex-N2-Pro

Nex-N2 is a family of thinking models with Agentic Thinking. They adaptively decide when and how deeply to reason, unifying agent cognition across coding, search, and tool use into a single coherent paradigm. Key Claims - SOTA among open models on SWE-Verified, SWE-Pro, Terminal Bench 2.0, Tau3, WildClawBench, BFCL V4 - Top-tier in agentic coding (end-to-end dev loops), deep search (BrowserComp, Wild Search, FinSearch), and real-world productivity (GDP Val) - Adaptive Thinking: auto-adjusts reasoning depth per step, 30-50% fewer thinking tokens vs always-on, with equal or better performance - Plug-and-play with Claude Code, Cursor, OpenClaw, and agentic harnesses

Harness Nex-N2-Pro’s Agentic Thinking to automate complex workflows, from autonomous coding to deep market research.

Autonomous Software Engineering

Execute end-to-end development cycles, including debugging, testing, and deployment across complex codebases.

Use Case Example:

"Fixed a memory leak in a Rust-based data pipeline by tracing ownership issues and implementing a more efficient buffer management strategy."

Deep Research & Intelligence

Perform multi-step web searches and data synthesis to generate high-fidelity reports on technical or financial topics.

Use Case Example:

"Conducted a deep-dive into global semiconductor supply chains, synthesizing data from trade journals and earnings calls to predict 2026 price volatility."

Intelligent Tool Orchestration

Seamlessly integrate with APIs and external tools to automate multi-stage business processes and administrative tasks.

Use Case Example:

"Managed a cross-platform marketing campaign by coordinating between Trello, Slack, and Google Analytics to adjust ad spend based on real-time conversion data."

Adaptive DevOps & SRE

Navigate terminal environments and cloud infrastructure to diagnose issues and optimize system performance autonomously.

Use Case Example:

"Resolved a database latency spike in a PostgreSQL cluster by analyzing query plans and reconfiguring indexing strategies via the CLI."

메타데이터

생성하다

라이센스

APACHE-2.0

공급자

Nex AGI

허깅페이스

사양

주

Deprecated

건축

Transformer MoE

교정된

아니요

전문가의 혼합

네

총 매개변수

397B

활성화된 매개변수

추론

아니요

Precision

FP8

콘텍스트 길이

262K

Max Tokens

AI 개발을 가속화할 준비가 되셨나요?

AI 개발을 가속화할 준비가 되셨나요?

AI 개발을 가속화할 준비가 되셨나요?

© 2025 SiliconFlow

© 2025 SiliconFlow

© 2025 SiliconFlow