GoogleFastHigh

Gemini Embedding 001

Google's text embedding model for generating vector representations. Optimized for semantic search, clustering, and similarity tasks.

0.1 credits

per 1K tokens

High-quality text embeddings

Optimized for semantic search

Supports clustering and classification

Dimensionality options

Cost-effective embeddings

Use with AI Assistant

Copy usage instructions for Claude, ChatGPT, or other AI

llms.txt

Model Specifications

Context Window

tokens

Max Output

tokens

Training Cutoff

2024-08

Compatible SDK

Google AI

Capabilities

Vision

Function Calling

Streaming

JSON Mode

System Prompt

Token Pricing (per 1M tokens)

Token Type	Credits	USD Equivalent
Input Tokens	300	$0.30
Output Tokens	0	$0.00

* 1 credit ≈ $0.001 (actual charges may vary based on usage)

Quick Start

curl -X POST "https://api.core.today/llm/gemini/v1beta/openai/embeddings" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gemini-embedding-001",
  "input": "What is the meaning of life?"
}'

Parameters

Parameter	Type	Required	Default	Description
`input`	string \| array	Yes	-	Text or array of texts to embed
`model`	string	Yes	gemini-embedding-001	Model identifier

Examples

Text Embedding

Generate embeddings for semantic search

curl -X POST "https://api.core.today/llm/gemini/v1beta/openai/embeddings" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer cdt_your_api_key" \
  -d '{
  "model": "gemini-embedding-001",
  "input": "What is the meaning of life?"
}'