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nex-agi의 파비콘

Nex AGI: Nex-N2-Mini

nex-agi/nex-n2-mini

모델 가중치

Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use, deep research, and long-horizon agentic workflows, with a 262K-token context window and native reasoning support.

모달리티
컨텍스트
262K
출시
2026년 6월 24일
활동자주 묻는 질문탐색

활동

시간 경과에 따른 이 모델의 토큰 사용량과 요청 트래픽입니다.

더 많은 모델 살펴보기

비전 기능을 갖춘 AI 모델: 이미지 이해를 위한 멀티모달 LLM컬렉션AI 모델 순위순위

자주 묻는 질문

Nex-N2-Mini is an open-source agentic mixture-of-experts model from Nex AGI, the smaller sibling in the Nex-N2 series. It accepts text and image input and is built for coding, tool use, deep research, and long-horizon agentic workflows, with a 262K-token context window and native reasoning support.

Nex-N2-Mini의 컨텍스트 윈도우는 262,144토큰입니다.

Nex-N2-Mini은(는) 텍스트 및 이미지을(를) 입력으로 받고 텍스트을(를) 반환합니다.

Nex-N2.5-Mini 및 Nex-N2.5-Pro은(는) Nex AGI의 다른 텍스트 모델입니다.

Nex-N2-Mini은(는) 2026년 6월 24일에 출시되었습니다.

다음 제공업체의 추가 모델 nex-agi

Nex-N2.5-Mini

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file changes, run commands, launch applications, interact with browser and desktop interfaces, and test software from the user's perspective. When observed behavior does not match the intended result, Nex-N2.5 can diagnose the issue, revise its implementation, and test again. This makes it especially effective for autonomous software engineering, GUI-based QA, computer-use automation, deep research, and scientific workflows where success must be demonstrated in the environment—not merely inferred from generated code.

텍스트컨텍스트 262KUS$0.025 / US$0.10
Nex-N2.5-Pro

Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, implement multi-file changes, run commands, launch applications, interact with browser and desktop interfaces, and test software from the user's perspective. When observed behavior does not match the intended result, Nex-N2.5 can diagnose the issue, revise its implementation, and test again. This makes it especially effective for autonomous software engineering, GUI-based QA, computer-use automation, deep research, and scientific workflows where success must be demonstrated in the environment—not merely inferred from generated code.

텍스트컨텍스트 262KUS$0.075 / US$0.25
Nex-N2-Pro

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 text output, and supports reasoning, function calling, and structured outputs. It is designed for coding, tool use, deep research, and long-horizon agentic workflows, unifying planning, code implementation, debugging, and iteration into a single execution loop.

텍스트컨텍스트 262K
DeepSeek V3.1 Nex N1

DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity.

Nex-N1 demonstrates competitive performance across all evaluation scenarios, showing particularly strong results in practical coding and HTML generation tasks.

텍스트컨텍스트 8K