Last refreshed 2026-06-15. Next refresh: weekly.
Why use Gemini 3.5 Flash on Google AI Studio?
Google AI Studio offers Gemini 3.5 Flash with pay-as-you-go pricing at $1.50/1M 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 Gemini 3.5 Flash across 4 providers to find the best fit for your use caseInput / 1M
$1.50
Output / 1M
$9.00
Cache
read $0.15
Batch
-50% · in $0.75 / out $4.50
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-3.5-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-3.5-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.
Compare Gemini 3.5 Flash Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $1.50 | $9.00 |
| GCP Vertex AI | $1.50 | $9.00 |
| Vercel AI Gateway | $1.50 | $9.00 |
| OpenRouter | $1.50 | $9.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $9.00 |
Capabilities
VisionMultimodalReasoningJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch APIAudio
About Gemini 3.5 Flash
Gemini 3.5 Flash is Google DeepMind's generally available Flash model for sustained frontier-level performance on agentic and coding tasks. It supports multimodal inputs, native thinking, tool and function calling, structured outputs, code execution, search grounding, batch processing, and long contexts up to 1M tokens.
Get Started
Model Specs
Released2026-05-19
Context1.05m
ArchitectureDecoder Only
Knowledge cutoff2025-01