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Google Vertex AI

Gemini Embedding 001 pricing, context window and limits

Gemini Embedding 001 costs $0.15 per million input tokens and $0 per million output tokens at Google Vertex AI list price. It accepts up to 2,048 tokens of context and returns up to 1 tokens.

  • Model id vertex/gemini-embedding-001
  • Snapshot

What does Gemini Embedding 001 cost?​

List prices in US dollars per million tokens
Input$0.15
Output$0
Cached input (read)—
Cache write—

US dollars per million tokens. A dash means no price is published.

How much can Gemini Embedding 001 read and write?​

Token limits
Context window2,048
Max output1

What can Gemini Embedding 001 do?​

Capabilities
Vision (image input)No
Tool callingNo
Structured outputNo
ReasoningNo
Inputtext
Outputtext

What does a request to Gemini Embedding 001 cost?​

Cost of example requests at list price, in US dollars
A typical request: 1,000 tokens in, 500 out$0.00015
A long request: 10,000 tokens in, 1,000 out$0.0015
1,000 typical requests$0.15
1 million tokens in and 1 million out$0.15

Among 12 Google Vertex AI models with a published price, Gemini Embedding 001 is the 2nd cheapest by input price. Its context window is the 12th largest of 12. List prices only; discounts, batch prices and prices above 200K tokens are not shown.

How do I call Gemini Embedding 001 through DVARA?​

Configure the vertex-ai provider in the DVARA LLM Gateway and send the model id vertex/gemini-embedding-001. DVARA, the AI gateway, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.

In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set gets no cost record: its calls count against no budget and appear in no report, and the gateway records the model as unpriced. Every cost record says which price it used.

What should I check before relying on this data?​

The weekly review marked this entry. A person saw each mark and kept the model listed.

  • Output is listed cheaper than input, which is unusual.
  • This provider bills prompt caching, but no cached-input price is listed.

Which other Google Vertex AI models are there?​

All 12 Google Vertex AI models · Search the full catalogue

Which models from other providers are similar to Gemini Embedding 001?​

These are the closest in context window and input price, one per provider.

Snapshot 26 October 2026. DVARA reviews every price weekly before it is published. Get the whole catalogue as llm-models.json. Prices are list prices in US dollars per million tokens; check your provider contract before you budget.