Nano Banana Pro (Gemini 3 Pro Image Preview) on Google AI Studio
Gemini 3 · Google DeepMind
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Last refreshed 2026-06-15. Next refresh: weekly.
Why use Nano Banana Pro (Gemini 3 Pro Image Preview) on Google AI Studio?
Google AI Studio offers Nano Banana Pro (Gemini 3 Pro Image Preview) with pay-as-you-go pricing at $2.00/1M 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 Pro (Gemini 3 Pro Image Preview) across 3 providers to find the best fit for your use caseInput / 1M
$2.00
Output / 1M
$120.00
Cache
Not sourced
Batch
Not sourced
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-pro-image-previewRequest 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-pro-image-preview",
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 Pro (Gemini 3 Pro Image Preview) Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $2.00 | $120.00 |
| GCP Vertex AI | $3.00 | $15.00 |
| OpenRouter | $2.00 | $12.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.00 |
| Output tokens | $120.00 |
Capabilities
No model capability flags are currently sourced.
About Nano Banana Pro (Gemini 3 Pro Image Preview)
Preview release of Nano Banana Pro for Gemini 3 Pro Image. Google released the GA gemini-3-pro-image model on 2026-05-28 and will retire this preview API ID on 2026-06-25.
Get Started
Model Specs
Released2025-09-01
Context66k
ArchitectureDecoder Only