Gemini Embedding 001

Google chattool_use

API ID: google/gemini-embedding-001

Input Price
$0.15
/1M tokens
Output Price
Free
/1M tokens

About Gemini Embedding 001

Gemini Embedding is Google's embedding model, designed for semantic search within the Gemini ecosystem. The model generates quality embeddings for retrieval applications. Gemini Embedding integrates seamlessly with Google's AI infrastructure. For developers building search systems on Google's platform, Gemini Embedding offers native integration.

๐Ÿ’ฐ
Price Ranking
#596 lowest price among 950 Chat models

Model Specifications

Context Length
20k
Max Output
โ€”
Release Date
2025-10-31
Capabilities
chat tool_use
Input Modalities
text
Output Modalities
embeddings

Best For

  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.07
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$2.25
/month
1000 tickets/day, ~800 tokens each

Google Model Lineup

Compare all models from Google to find the best fit

Model Input Output Context Capabilities
Gemini Embedding 001 Current Free Free 20k chat tool_use
Gemma 3n 4B Free Free 33k chat tool_use
Gemini 2.5 Flash Image Preview (Nano Banana) Free Free 33k chat vision image_gen
Gemma 3n 2B (free) Free Free 8k chat tool_use
Gemma 1 2B Free Free 8k chat
Gemma 1 2B Free Free 8k chat

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๐Ÿš€ Quick Start

Get started with Gemini Embedding 001 API

Google AI Python SDK
import google.generativeai as genai

genai.configure(api_key="YOUR_API_KEY")
model = genai.GenerativeModel("gemini-embedding-001")

response = model.generate_content("Hello!")
print(response.text)