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 OpenAI: GPT-5.4 Mini (batch)
Nex AGI: Nex-N2-Pro wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
Model details →Side-by-side comparison
| Capability | Nex AGI: Nex-N2-Pro | OpenAI: GPT-5.4 Mini (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 400K | 🏆 OpenAI: GPT-5.4 Mini (batch) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.25 | $0.38 | 🏆 Nex AGI: Nex-N2-Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.00 | $2.25 | 🏆 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 OpenAI: GPT-5.4 Mini (batch)?
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 OpenAI: GPT-5.4 Mini (batch)?
Input: $0.25 vs $0.38 per 1M tokens. Output: $1.00 vs $2.25 per 1M tokens.
What context windows do Nex AGI: Nex-N2-Pro and OpenAI: GPT-5.4 Mini (batch) support?
Nex AGI: Nex-N2-Pro supports up to 262K tokens. OpenAI: GPT-5.4 Mini (batch) supports up to 400K tokens.
Do both Nex AGI: Nex-N2-Pro and OpenAI: GPT-5.4 Mini (batch) support tool calling?
Nex AGI: Nex-N2-Pro: yes. OpenAI: GPT-5.4 Mini (batch): yes.