Google: Gemini Embedding 001 provider comparison

google/gemini-embedding-001

gemini-embedding-001 provides a unified cutting edge experience across domains, including science, legal, finance, and coding. This embedding model has consistently held a top spot on the Massive Text Embedding Benchmark...

Endpoints:: 2
Context:: 20K
Input:: text
Output:: embeddings

Visual comparison

Endpoint pricing chart

Compare published endpoint pricing visually.

Effective price by endpoint

USD per unit for prompt. Lower is better.

Only directly comparable published units are charted.

Server-rendered comparison

Provider endpoints

Prices are shown only in the units published by OpenRouter; cross-unit rankings are intentionally omitted. Missing speed data never removes an endpoint.

Endpoint comparison for Google: Gemini Embedding 001
Provider / route	Current pricing	Speed measurements	Endpoint details
Provider / route Google AI Studio (0) `google-ai-studio`	Current pricing $0.00000015 per unit (prompt) Free per unit (completion)	Speed measurements 500-token response Not applicable Response starts Insufficient recent data Output speed Insufficient recent data	Endpoint details Uptime (30 min) 99.99% Context 20K Model format unknown Max output N/a 5 parameters max_tokens, response_format, seed, temperature, top_p
Provider / route Google Vertex (0) `google-vertex/us-central1`	Current pricing $0.00000015 per unit (prompt) Free per unit (completion) Free per unit (image) Free per unit (audio)	Speed measurements 500-token response Not applicable Response starts Insufficient recent data Output speed Insufficient recent data	Endpoint details Uptime (30 min) 100.00% Context 20K Model format unknown Max output N/a 5 parameters max_tokens, response_format, seed, temperature, top_p

Endpoint data fetched Jul 16, 2026, 4:19 PM UTC.

Gemini Embedding 001 deployment guide

How to choose a Gemini Embedding 001 inference provider

Gemini Embedding 001 is indexed here as a embeddings model by Google, with 2 provider endpoints from Google AI Studio, Google Vertex. The comparison preserves each exact OpenRouter routing tag so pricing and performance observations can be connected to the route an application would actually request.

Match the endpoint to the workload

The model publishes a 20K-token context window. It accepts text input and returns embeddings output. 5 distinct supported parameters appear across the listed routes. Confirm limits on the specific endpoint rather than assuming every host exposes the same configuration.

Compare embeddings billing units directly

At least one unit is published consistently across the listed endpoints, allowing a direct price chart for prompt. Other charges remain in the table using OpenRouter’s exact billing labels.

Verify route format and availability

Published endpoint formats include unknown. Availability, rate limits, and regional support can change independently of catalog pricing, so confirm the selected routing tag before production deployment.