$0.125market price $0.25
$0.75market price $1.50
Throughput is how fast the model writes (tokens per second, higher is better). Time to first token is how long before the answer starts (lower is better).
Share of requests served without a server error. Client errors (4xx) do not count.
Not enough TTFT data
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 visual exploration. It delivers text-to-image generation in roughly 4 seconds, about 2.7× faster than Gemini 3.1 Flash Image, while keeping the character consistency, precise editing, and real-world knowledge of the Nano Banana family. A single drop-in API handles text-to-image, image editing, and multi-image composition. As a multimodal model it also returns text alongside images. Outputs are generated at 1K resolution across 14 aspect ratios and carry an invisible SynthID watermark so they can be identified as AI-generated. Positioned as the best balance of quality and speed in the Nano Banana 2 line, it suits prototyping, real-time apps, and visual workflows at scale.
Works with the OpenAI SDK pointed at our base URL. Every parameter is in the API reference.
Tokens processed per day on NagaAI.
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 visual exploration.
On NagaAI, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) costs $0.125 per 1M input tokens and $0.75 per 1M output tokens. You pay only for what you use, with no subscription.
Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) reads up to 65.5k tokens in one request, counting the prompt and the answer together.
Yes. Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) can call your functions as tools and can answer in a JSON schema you give it.
It takes text, images and files as input and returns text and images.
Create an API key, copy the model ID from the top of this page and send requests with the OpenAI or Anthropic SDK pointed at NagaAI. The API section on this page has a ready example.