Using Gemini 3.8 Flash on Google AI Studio
Implementation guide · Gemini 3.8 · Google DeepMind
Google AI Studio exposes Gemini 3.8 Flash through model ID gemini-3.8-flash. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-09-02. Next refresh: weekly.
Quick Start
- 1
- 2Use the Google AI Studio SDK or REST API to call
gemini-3.8-flash— see the documentation for request format. - 3
Code Examples
pip install google-genaiGOOGLE_API_KEYgemini-3.8-flashUse the model name directly, e.g. "gemini-2.0-flash", "gemini-1.5-pro", or "gemini-2.5-pro-preview-05-06".
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-3.8-flash",
contents="Hello"
)
print(response.text)Pricing on Google AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.75 |
| Output tokens | $3.75 |
Capabilities
About Gemini 3.8 Flash
Gemini 3.8 Flash is Google DeepMind's generally available most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows, released September 2, 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, search grounding, URL context, computer use (preview), and batch, flex, and priority consumption. Official model ID: gemini-3.8-flash. Sibling of live gemini-3.7-flash under a new family gemini-3.8.
Model Specs
Provider