Google

Gemini Embedding 001 — Benchmark Scores, Pricing & Performance Analysis

BUDGETGoogle
Input Cost
$0.15/1M
Output Cost
$0.00/1M
Context Window
2K
Max Output
0K
Knowledge Cutoff
May 2025
Accepts
text

Gemini Embedding 001 by Google demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.

Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.

Cost Benchmarks

Input Cost
$0.15149th of 413

Cost per 1M input tokens

OpenRouter API
Output Cost
$0.001st of 413

Cost per 1M output tokens

OpenRouter API

Context Benchmarks

Context Length
2K423rd of 451

Maximum context window size

OpenRouter API

Available from 5 providers

The same model costs different amounts depending on who serves it. You can bring your own key for 3 of these — connect it here.

ProviderInput / 1MOutput / 1MCached inContextYour key
Google$0.15$02KSupported
Merge Gateway$0.15$02K
Vertex$0.15$02KSupported
SAP AI Core2K
Vercel AI Gateway8KSupported

Gemini Embedding 001 — Frequently Asked Questions

How much does Gemini Embedding 001 cost?

Gemini Embedding 001 costs $0.15 per 1M input tokens and $0.00 per 1M output tokens. This makes it one of the more affordable models.

What is the context window of Gemini Embedding 001?

Gemini Embedding 001 has a context window of 2K tokens. This determines how much text, conversation history, and code the model can process in a single request.

Who created Gemini Embedding 001?

Gemini Embedding 001 was created by Google. It is classified as a budget model in our catalogue.

Is Gemini Embedding 001 open source?

No, Gemini Embedding 001 is a proprietary model. It is available through Google's API and compatible providers.