Nex AGI: Nex N2 Pro
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Nex N2 Pro is an agentic mixture-of-experts model from Nex AGI, built on a Qwen3.5 base with 397B total parameters and 17B active per token, released open-source under Apache 2.0 in June 2026.
The model's Agentic Thinking framework closes the loop between planning, code implementation, environmental feedback, and iterative debugging — making it especially capable at long-horizon tasks. It supports function calling, structured outputs, vision inputs, and reasoning traces.
Benchmark highlights include 75.3 on Terminal-Bench 2.1, 80.8 on SWE-Bench Verified, and 90.7 on GPQA Diamond. It is a strong fit for developers building coding agents, deep research pipelines, or multi-step automation that demands reliable tool use and a 262K context window.
Context Window 262K
tokens
Max Output 236K
tokens
Input Cost $0.25
per million tokens
Output Cost $1
per million tokens
Release Date Jun 8, 2026
Code Example
Add AI to your app with the Puter.js AI API, no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.chat("Explain quantum computing in simple terms").then(response => {
document.body.innerHTML = response.message.content;
});
</script>
</body>
</html>
More AI Models From Nex AGI
Nex-N2.5-Pro
Nex-N2.5-Pro is an agentic multimodal model from Nex AGI, the mid-size member of the Nex-N2.5 family alongside Mini and Max. It accepts text and images, supports tool calling and adjustable reasoning effort, and has a 262K context window. The model is built for agentic coding inside a visual feedback loop, exploring codebases, making multi-file changes, running commands, driving browser and desktop interfaces, and testing the result before revising. Nex AGI describes it as building on Nex-N2's multimodal foundations with improvements in computer use and web browsing. Reported scores include 82.7 on Terminal-Bench 2.1, 61.2 on SWE-Bench Pro, 82.2 on OSWorld-Verified, and 87.4 on OSWorld-G, where Nex AGI's table puts it above Claude Opus 5 (76.8) and GPT-5.6 Sol (77.7). Targeted uses are autonomous software engineering, GUI-based QA, computer-use automation, deep research, and scientific workflows. It's priced at $0.08 per million input tokens and $0.25 per million output tokens, with a free-tier variant also offered through this listing.
ChatNex-N2.5-Mini
Nex-N2.5-Mini is the smallest model in Nex AGI's Nex-N2.5 family, a multimodal agentic line that also includes Nex-N2.5-Pro and Nex-N2.5-Max. It takes text and image input, supports function calling, and runs in three reasoning modes (non-thinking, adaptive thinking by default, and high thinking). Nex AGI targets it at computer use, web browsing, and agentic coding, where the model explores a codebase, makes multi-file edits, runs commands, and checks the result through visual feedback before continuing. On Nex AGI's own benchmark table it scores 73.4 on Terminal-Bench 2.1, 71.2 on OSWorld-Verified, and 43.8 on SWE-Bench Pro. Claude Opus 5 leads on all three in the same table (89.1, 83.4, and 79.2). It's priced at $0.03 per million input tokens and $0.10 per million output tokens, with a free-tier variant also available, giving a 262K context window for long agent loops over browser and desktop sessions.
Frequently Asked Questions
Nex N2 Pro is no longer available through Puter.js. Explore other AI models for alternatives.
| Price per 1M tokens | |
|---|---|
| Input | $0.25 |
| Output | $1 |
Nex N2 Pro was created by Nex AGI and released on Jun 8, 2026.
Nex N2 Pro supports a context window of 262K tokens. For reference, that is roughly equivalent to 524 pages of text.
Nex N2 Pro can generate up to 236K tokens in a single response.
Yes — the Nex N2 Pro API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
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