Last refreshed 2026-08-24. Next refresh: weekly.
Why use Gemini 3.7 Flash on Google AI Studio?
Google AI Studio offers Gemini 3.7 Flash with pay-as-you-go pricing at $0.75/1M 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.
Setup recipe
Python + curlpip install google-genaiexport GOOGLE_API_KEY=...import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(gemini-3.7-flashRequest example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-3.7-flash",
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.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.75 |
| Output tokens | $3.75 |
Capabilities
About Gemini 3.7 Flash
Gemini 3.7 Flash is Google DeepMind's generally available multimodal workhorse model for coding and agents, released August 13, 2026. It accepts text, image, video, audio, and PDF inputs and returns text, with a 1,048,576-token context window, up to 65,536 output tokens, and Gemini API support for thinking (low/medium/high; minimal is not supported), function calling, tool use, structured outputs, code execution, prompt caching, and batch processing. Official model ID: gemini-3.7-flash. Compare it for Coding, Agents, Long context, Vision, and JSON / Tool use.