Last refreshed 2026-06-15. Next refresh: weekly.
Why use Gemma 3n on Google AI Studio?
Google AI Studio offers Gemma 3n with free input token pricing. 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 Gemma 3n across 2 providers to find the best fit for your use caseInput / 1M
Free
Output / 1M
Free
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
gemma-3nRequest example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemma-3n",
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 Gemma 3n Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | Free | Free |
| GCP Vertex AI | Free | Free |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | Free |
| Output tokens | Free |
Capabilities
Structured Outputs
About Gemma 3n
Open model variant of Gemma 3 optimized for efficient performance on everyday devices like mobile phones, laptops, and tablets. Built on Gemini technology.
Get Started
Model Specs
Released2025-03-12
Context32k
ArchitectureDecoder Only
Knowledge cutoff2024-06