Last refreshed 2026-06-15. 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 3 providers to find the best fit for your use caseInput / 1M
$0.15
Output / 1M
Free
Cache
Not sourced
Batch
Not sourced
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-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 |
| Vercel AI Gateway | $0.15 | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.15 |
| Output tokens | Free |
Capabilities
No model capability flags are currently sourced.
About Gemini Embedding
Gemini Embedding is a language model from Google DeepMind focused on text embeddings for retrieval and semantic search. It was released 2023-12-13.
Get Started
Model Specs
Released2023-12-13