Last refreshed 2026-06-15. Next refresh: weekly.
Why use Gemini 2.5 Pro on Google AI Studio?
Google AI Studio offers Gemini 2.5 Pro with pay-as-you-go pricing at $1.25/1M 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 2.5 Pro across 4 providers to find the best fit for your use caseInput / 1M
$1.25
Output / 1M
$10.00
Cache
read $0.125
Batch
-50% · in $0.625 / out $5.00
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-2.5-proRequest example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-2.5-pro",
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 2.5 Pro Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $1.25 | $10.00 |
| GCP Vertex AI | $1.25 | $10.00 |
| OpenRouter | $1.25 | $10.00 |
| Vercel AI Gateway | $1.25 | $10.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.25 |
| Output tokens | $10.00 |
Capabilities
VisionMultimodalReasoningJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch API
About Gemini 2.5 Pro
Google DeepMind's most capable Gemini 2.5 model with native thinking/reasoning support. Features a 1M-token context window, multimodal inputs (text, image, audio, video), function calling, and strong performance across coding, mathematics, and scientific reasoning tasks.
Get Started
Model Specs
Released2025-06-17
Context1m
ArchitectureDecoder Only
Knowledge cutoff2025-01