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Favicon de nex-agi

Nex AGI: Nex-N2-Mini

nex-agi/nex-n2-mini

Poids du modèle

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.

Modalités
Contexte
262K
Publié
24 juin 2026
ActivitéFAQExplorer

Activité

Volume de jetons et trafic des requêtes vers ce modèle au fil du temps.

Actuellement indisponible via le routage dans la région UE. Documentation sur le routage intrarégional

Explorer d’autres modèles

Modèles d’IA avec vision : LLM multimodaux pour la compréhension d’imagesCollectionClassements des modèles d’IAClassement

Questions fréquentes

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-Mini dispose d’une fenêtre de contexte de 262 144 jetons.

Nex-N2-Mini accepte texte et images en entrée et renvoie texte.

Nex-N2.5-Mini et Nex-N2.5-Pro sont d’autres modèles de type texte de Nex AGI.

Nex-N2-Mini est sorti le 24 juin 2026.

Autres modèles de 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.

TexteContexte de 262K0,025 $US / 0,10 $US
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.

TexteContexte de 262K0,075 $US / 0,25 $US
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.

TexteContexte de 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.

TexteContexte de 8K