What is the context length of Nex-N2-Mini?

Nex-N2-Mini has a 262,144 token context window.

What inputs and outputs does Nex-N2-Mini support?

Nex-N2-Mini accepts text and images as input and returns text.

What other text models does Nex AGI have?

Nex-N2.6, Nex-N2.5-Mini, and Nex-N2.5-Pro are other text models from Nex AGI.

When was Nex-N2-Mini released?

Nex-N2-Mini was released on June 24, 2026.

Nex AGI: Nex-N2-Mini

nex-agi/nex-n2-mini

Model weights

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.

Modalities

Context

262K

Released

Jun 24, 2026

Not currently available through EU in-region routing. In-region routing docs

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Nex-N2.6

Nex-N2.6 is an agentic model from Nex AGI, built on GLM-5.3-Flash with about 321B parameters. It is suited for computer use, coding, and long-horizon tasks that involve tools. Compared with Nex-N2.5-Pro, it reduces repetitive reasoning and follows the tools available in the current environment more closely.

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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.

Text262K context$0.025 / $0.10

Nex-N2.5-Pro

Text262K context$0.075 / $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.

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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.

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Nex AGI: Nex-N2-Mini

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Nex AGI: Nex-N2-Mini

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Frequently asked questions

What is Nex-N2-Mini?

What is the context length of Nex-N2-Mini?

What inputs and outputs does Nex-N2-Mini support?

What other text models does Nex AGI have?

When was Nex-N2-Mini released?

Explore more models

More models from nex-agi

More models from nex-agi