Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image generation, edits, and multi-turn conversations. Aspect ratios c…
Model details →Google: Nano Banana (Gemini 2.5 Flash Image) vs meta-llama/Llama-3.2-3B-Instruct
meta-llama/Llama-3.2-3B-Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it …
Model details →Side-by-side comparison
| Capability | Google: Nano Banana (Gemini 2.5 Flash Image) | meta-llama/Llama-3.2-3B-Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 80K | 🏆 meta-llama/Llama-3.2-3B-Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.30 | $0.05 | 🏆 meta-llama/Llama-3.2-3B-Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.50 | $0.34 | 🏆 meta-llama/Llama-3.2-3B-Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Nano Banana (Gemini 2.5 Flash Image) |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Google: Nano Banana (Gemini 2.5 Flash Image) better than meta-llama/Llama-3.2-3B-Instruct?
meta-llama/Llama-3.2-3B-Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Nano Banana (Gemini 2.5 Flash Image) and meta-llama/Llama-3.2-3B-Instruct?
Input: $0.30 vs $0.05 per 1M tokens. Output: $2.50 vs $0.34 per 1M tokens.
What context windows do Google: Nano Banana (Gemini 2.5 Flash Image) and meta-llama/Llama-3.2-3B-Instruct support?
Google: Nano Banana (Gemini 2.5 Flash Image) supports up to 33K tokens. meta-llama/Llama-3.2-3B-Instruct supports up to 80K tokens.
Do both Google: Nano Banana (Gemini 2.5 Flash Image) and meta-llama/Llama-3.2-3B-Instruct support tool calling?
Google: Nano Banana (Gemini 2.5 Flash Image): not advertised. meta-llama/Llama-3.2-3B-Instruct: not advertised.