Last refreshed 2026-06-15. Next refresh: weekly.
Why use Nano Banana 2 (Gemini 3.1 Flash Image) on Google AI Studio?
Google AI Studio offers Nano Banana 2 (Gemini 3.1 Flash Image) with pay-as-you-go pricing at $0.50/1M input tokens. Google AI Studio is a model prototyping environment and API access point for Gemini models, offering an inference playground for developers to test and build AI applications.
Compare Nano Banana 2 (Gemini 3.1 Flash Image) across 2 providers to find the best fit for your use caseInput / 1M
$0.50
Output / 1M
$60.00
Cache
Not sourced
Batch
-50% · in $0.25 / out $30.00
Setup recipe
Python + curlInstall
pip install google-genaiAuth
export GOOGLE_API_KEY=...Call
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(Model ID
gemini-3.1-flash-imageRequest example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-3.1-flash-image",
contents="Hello"
)
print(response.text)Gotchas
- Use the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
- The examples expect GOOGLE_API_KEY; rename it only if your application config maps the new variable.
Compare Nano Banana 2 (Gemini 3.1 Flash Image) Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $0.50 | $60.00 |
| Prodia | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $60.00 |
Capabilities
VisionMultimodalReasoningBatch API
About Nano Banana 2 (Gemini 3.1 Flash Image)
Nano Banana 2 is the GA Gemini 3.1 Flash Image model for image generation and editing through the Gemini API. It accepts text, image, PDF, and video inputs, adds video-to-image generation for thumbnails, posters, and infographics, returns text and images, supports search grounding and thinking, and replaces the gemini-3.1-flash-image-preview model retiring on 2026-06-25.
Get Started
Model Specs
Released2026-05-28
Context131k
ArchitectureDecoder Only
Knowledge cutoff2025-01