Last refreshed 2026-05-11. Next refresh: weekly.
Why use Gemini Embedding on Google AI Studio?
Google AI Studio offers Gemini Embedding with pay-as-you-go pricing at $0.15/1M 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 Embedding across 2 providers to find the best fit for your use caseSetup 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-embedding-001Request example
import os
from google import genai
client = genai.Client(api_key=os.environ["GOOGLE_API_KEY"])
response = client.models.generate_content(
model="gemini-embedding-001",
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 Embedding Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $0.15 | Free |
| GCP Vertex AI | $0.15 | Free |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.15 |
| Output tokens | Free |
Capabilities
No model capability flags are currently sourced.
About Gemini Embedding
Google Gemini embeddings model for semantic text representation.
FAQ
What does Gemini Embedding cost on Google AI Studio?
On Google AI Studio, Gemini Embedding costs $0.15 per 1M input tokens and $0 per 1M output tokens.
How does Google AI Studio compare to other Gemini Embedding providers?
Gemini Embedding is available from 2 providers. The cheapest input pricing is $0.15/1M tokens from Google AI Studio.
Who created Gemini Embedding?
Gemini Embedding was created by Google DeepMind as part of the Gemini Embedding model family.
Is Gemini Embedding open source?
Gemini Embedding is not open source; the seed data lists it as proprietary.