Analysis Summary
Nex-N2-Pro is a benchmarked Nex AGI model with very strong coding, strong reasoning, vision, a 262K context window, tool use, and function calling. It offers a broad technical profile for repository work, multimodal analysis, document-heavy tasks, and structured assistants that need to call external systems.
The agentic result trails its coding capability, so autonomous execution should remain supervised with constrained permissions and validation checkpoints. Its low listed input and output prices are favourable for repeated engineering and analysis calls, including workflows that need substantial context. It is a strong specialist candidate for coding and tool-connected tasks, particularly when teams want broad functionality without premium pricing.
Adopt it for engineering support and controlled automation, while reserving unsupervised actions for models with stronger agentic evidence.
Assessed August 9, 2026
Editorial notes
Nex-N2-Pro combines very strong coding and reasoning with vision, 262K context, tool use, and function calling at low pricing; its agentic results remain better suited to supervised than autonomous work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Nex-N2-Pro combines very strong coding and reasoning with vision, 262K context, tool use, and function calling at low pricing; its agentic results remain better suited to supervised than autonomous work.
How Nex AGI: Nex-N2-Pro compares
Nex AGI: Nex-N2-Pro ranks #49 of 420 AI models we track for overall intelligence, #39 of 193 for coding, #50 of 175 for agentic tasks. Its 262K-token context window is larger than 74% of the models we list. At $0.25 per million input tokens it is cheaper than 52% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on business fit. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.25 | $0.000250 |
| Output | $1.00 | $0.001000 |
What would Nex AGI: Nex-N2-Pro cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Nex AGI: Nex-N2-Pro for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Nex AGI: 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..
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Frequently asked questions about Nex AGI: Nex-N2-Pro
How much does Nex AGI: Nex-N2-Pro cost?
Nex AGI: Nex-N2-Pro costs $0.25 per million input tokens and $1.00 per million output tokens.
What is the context window of Nex AGI: Nex-N2-Pro?
Nex AGI: Nex-N2-Pro has a context window of 262,144 tokens (262K).
Is Nex AGI: Nex-N2-Pro good for coding?
On our coding benchmark index, Nex AGI: Nex-N2-Pro ranks #39 of 193 models, placing it in the top quartile of the field for code generation and debugging.
What can Nex AGI: Nex-N2-Pro do?
Nex AGI: Nex-N2-Pro supports image/vision input, tool use, and function calling.
Who created Nex AGI: Nex-N2-Pro?
Nex AGI: Nex-N2-Pro is developed by Nex AGI and was released on June 8, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm