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Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) provider comparison

google/gemini-3.1-flash-lite-image

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...

Endpoints:
2
Context:
65.5K
Input:
image, text
Output:
image, text

Visual comparison

Endpoint pricing chart

Compare published endpoint pricing visually.

Effective price by endpoint

USD per token for output image. Lower is better.

Only directly comparable published units are charted.

Server-rendered comparison

Provider endpoints

Image prices use OpenRouter’s dedicated endpoint billing records and retain their published units. Missing speed data never removes an endpoint.

Endpoint comparison for Google: Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)
Provider / routeCurrent pricingSpeed measurementsEndpoint details
Provider / route
Google Vertexgoogle-vertex/global
Current pricing
  • $0.00003 per token (output image)
Speed measurements
500-token response
Not applicable
Response starts
Insufficient recent data
Output speed
Insufficient recent data
Endpoint details
Uptime (30 min)
Insufficient recent data
Context
65.5K
Model format
N/a
Max output
N/a
4 parameters

aspect_ratio, input_references, n, resolution

Provider / route
Google AI Studiogoogle-ai-studio
Current pricing
  • $0.00003 per token (output image)
Speed measurements
500-token response
Not applicable
Response starts
Insufficient recent data
Output speed
Insufficient recent data
Endpoint details
Uptime (30 min)
Insufficient recent data
Context
65.5K
Model format
N/a
Max output
N/a
4 parameters

aspect_ratio, input_references, n, resolution

Endpoint data fetched .

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) deployment guide

How to choose a Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) inference provider

Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) is indexed here as a image model by Google, with 2 provider endpoints from Google Vertex, Google AI Studio. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.

Match the endpoint to the workload

The model publishes a 65.5K-token context window. It accepts image, text input and returns image, text output. 4 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.

Compare image billing units directly

At least one token is published consistently across the listed endpoints, allowing a direct price chart for output image. Other charges remain in the table using OpenRouter’s exact billing labels.

Verify route format and availability

No model-format or quantization labels are currently published. Availability, rate limits, and regional support can change independently of catalog pricing, so confirm the selected routing tag before production deployment.