Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...
Model details →Google: Nano Banana Pro (Gemini 3 Pro Image) vs Qwen/Qwen2.5-VL-32B-Instruct-AWQ
Google: Nano Banana Pro (Gemini 3 Pro Image) wins on 6 of 6 axes — pricing and capability skew in its favour for most workloads.
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Model details →Side-by-side comparison
| Capability | Google: Nano Banana Pro (Gemini 3 Pro Image) | Qwen/Qwen2.5-VL-32B-Instruct-AWQ | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | Unknown | 🏆 Google: Nano Banana Pro (Gemini 3 Pro Image) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.00 | Custom | 🏆 Google: Nano Banana Pro (Gemini 3 Pro Image) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $12.00 | Custom | 🏆 Google: Nano Banana Pro (Gemini 3 Pro Image) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 Google: Nano Banana Pro (Gemini 3 Pro Image) |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Nano Banana Pro (Gemini 3 Pro Image) |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 Google: Nano Banana Pro (Gemini 3 Pro Image) |
Frequently asked questions
Is Google: Nano Banana Pro (Gemini 3 Pro Image) better than Qwen/Qwen2.5-VL-32B-Instruct-AWQ?
Google: Nano Banana Pro (Gemini 3 Pro Image) wins on 6 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Nano Banana Pro (Gemini 3 Pro Image) and Qwen/Qwen2.5-VL-32B-Instruct-AWQ?
Input: $2.00 vs Custom per 1M tokens. Output: $12.00 vs Custom per 1M tokens.
What context windows do Google: Nano Banana Pro (Gemini 3 Pro Image) and Qwen/Qwen2.5-VL-32B-Instruct-AWQ support?
Google: Nano Banana Pro (Gemini 3 Pro Image) supports up to 131K tokens. Qwen/Qwen2.5-VL-32B-Instruct-AWQ supports up to Unknown tokens.
Do both Google: Nano Banana Pro (Gemini 3 Pro Image) and Qwen/Qwen2.5-VL-32B-Instruct-AWQ support tool calling?
Google: Nano Banana Pro (Gemini 3 Pro Image): yes. Qwen/Qwen2.5-VL-32B-Instruct-AWQ: not advertised.