Last refreshed 2026-05-11. Next refresh: weekly.
Why use Gemini Embedding on GCP Vertex AI?
GCP Vertex AI offers Gemini Embedding with pay-as-you-go pricing at $0.15/1M input tokens. Vertex AI is Google Cloud's managed AI platform, offering access to Gemini models and hundreds of partner models alongside tools for fine-tuning, grounding, vector search, and end-to-end MLOps pipelines.
Compare Gemini Embedding across 2 providers to find the best fit for your use caseSetup recipe
Python + curlpip install google-cloud-aiplatformexport GOOGLE_CLOUD_PROJECT=...import os
import vertexai
from vertexai.generative_models import GenerativeModel
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")gemini-embedding-001Request example
import os
import vertexai
from vertexai.generative_models import GenerativeModel
# Reads GOOGLE_CLOUD_PROJECT from env; authenticates via Application Default Credentials
vertexai.init(project=os.environ["GOOGLE_CLOUD_PROJECT"], location="us-central1")
model = GenerativeModel("gemini-embedding-001")
response = model.generate_content("Hello")
print(response.text)Gotchas
- For Google-published models use the model name directly, e.g. "gemini-2.0-flash-001". For third-party publishers (Anthropic, Meta, etc.) use the full publisher path, e.g. "publishers/anthropic/models/claude-3-5-sonnet-v2@20241022".
- The examples expect GOOGLE_CLOUD_PROJECT; 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 GCP Vertex AI?
On GCP Vertex AI, Gemini Embedding costs $0.15 per 1M input tokens and $0 per 1M output tokens.
How does GCP Vertex AI 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.