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Model details
Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite)
Gemini 3.1 Flash Lite Image, marketed under the Nano Banana 2 Lite nickname, sits inside Google's Nano Banana image-generation family that spans Gemini Pro and Flash variants. Google documents it on the Gemini Enterprise Agent Platform models page and surfaces it in AI Studio as a selectable option for prompt-driven image work, framing the Lite variant as the entry point optimized for rapid creation and iteration rather than maximum fidelity. The family-level marketing describes it as part of a lineup that combines high-quality image generation with multi-turn editing, world-knowledge grounding for more accurate depictions of landmarks and objects, and flexible aspect ratios that support different output needs.
Practically, the model is positioned for scenarios where throughput and quick visual turnaround matter more than top-tier photorealism, such as prototyping creative assets, iterating on visual ideas in conversation, and producing supporting imagery for product or storytelling workflows. Its place in the Nano Banana lineup alongside Gemini 3.1 Flash Image and Gemini 3 Pro Image gives teams a clear path to scale up when higher resolution or more detail is required, while staying within a familiar multimodal interface. The AI Studio integration emphasizes accessible workflows through targeted multi-turn transformations and grounded visual generation, making it a practical fit for builders who want lightweight image generation woven into larger agent or application pipelines.
Quick Info
Powered by- Provider
- Vercel AI Gateway
- Model key
- google/gemini-3.1-flash-lite-image
- Release date
- Jun 30, 2026
- Last updated
- Jun 30, 2026
- Knowledge cutoff
- 2025-01
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.25
- Output token cost
- $1.50
Limits
- Output tokens
- 4,096 tokens
- Context window
- 65,536 tokens
Transparent token rates
Compare Gemini 3.1 Flash Lite Image (Nano Banana 2 Lite) pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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