Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is Google's fastest, most cost-efficient Gemini image model, built for high-velocity developer pipelines and rapid-fire visual exploration. It delivers text-to-image generation...
Model details →Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) vs LiquidAI: LFM2.5-1.2B-Thinking (free)
Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and LiquidAI: LFM2.5-1.2B-Thinking (free) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is designed to provide high…
Model details →Side-by-side comparison
| Capability | Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | LiquidAI: LFM2.5-1.2B-Thinking (free) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 66K | 33K | 🏆 Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.25 | $0.00 | 🏆 LiquidAI: LFM2.5-1.2B-Thinking (free) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.50 | $0.00 | 🏆 LiquidAI: LFM2.5-1.2B-Thinking (free) |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) better than LiquidAI: LFM2.5-1.2B-Thinking (free)?
Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and LiquidAI: LFM2.5-1.2B-Thinking (free) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and LiquidAI: LFM2.5-1.2B-Thinking (free)?
Input: $0.25 vs $0.00 per 1M tokens. Output: $1.50 vs $0.00 per 1M tokens.
What context windows do Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and LiquidAI: LFM2.5-1.2B-Thinking (free) support?
Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) supports up to 66K tokens. LiquidAI: LFM2.5-1.2B-Thinking (free) supports up to 33K tokens.
Do both Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) and LiquidAI: LFM2.5-1.2B-Thinking (free) support tool calling?
Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image): not advertised. LiquidAI: LFM2.5-1.2B-Thinking (free): not advertised.