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...
Model details →Nex AGI: Nex-N2-Pro vs Qwen: Qwen3.5-122B-A10B
Nex AGI: Nex-N2-Pro wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
The Qwen3.5 122B-A10B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. In terms of...
Model details →Side-by-side comparison
| Capability | Nex AGI: Nex-N2-Pro | Qwen: Qwen3.5-122B-A10B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 262K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.25 | $0.26 | 🏆 Nex AGI: Nex-N2-Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.00 | $2.08 | 🏆 Nex AGI: Nex-N2-Pro |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Nex AGI: Nex-N2-Pro better than Qwen: Qwen3.5-122B-A10B?
Nex AGI: Nex-N2-Pro wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Nex AGI: Nex-N2-Pro and Qwen: Qwen3.5-122B-A10B?
Input: $0.25 vs $0.26 per 1M tokens. Output: $1.00 vs $2.08 per 1M tokens.
What context windows do Nex AGI: Nex-N2-Pro and Qwen: Qwen3.5-122B-A10B support?
Nex AGI: Nex-N2-Pro supports up to 262K tokens. Qwen: Qwen3.5-122B-A10B supports up to 262K tokens.
Do both Nex AGI: Nex-N2-Pro and Qwen: Qwen3.5-122B-A10B support tool calling?
Nex AGI: Nex-N2-Pro: yes. Qwen: Qwen3.5-122B-A10B: yes.
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