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... Built by Google.
Prices updated
Input price
$0.25
per 1M tokens · Standard
Output price
$1.50
per 1M tokens · Standard
Input limit
66K
tokens
Output limit
59K
tokens
Input formats
Output formats
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) price history
2 price records since 9/25/2026
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) cost calculator
$13/month
Standard pricing
Overview
What is Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)?
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is a text & reasoning and vision model from Google. 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... Its 66K context window and $0.25 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.25
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) Tools
Tools available when using Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) through supported provider APIs.
Function calling
Not supported
Structured outputs
Not supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.25 per million tokens suits high-volume workloads.
- A 66K context window covers most focused application workflows.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 6× more than input tokens, which matters for verbose responses.
- The 66K context window is smaller than several long-context alternatives.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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