GoogleEmbedding

Gemini Embedding 001

gemini-embedding-001

Gemini-Embedding-001 is Google's high-quality text embedding model designed for semantic understanding and retrieval tasks. It converts text into dense vector representations optimized for semantic search, retrieval-augmented generation (RAG), clustering, classification, and recommendation systems. The model emphasizes strong multilingual performance, high semantic accuracy, and efficient embedding generation, making it well suited for large-scale knowledge indexing and production retrieval pipelines.

Context: 128K tokens
Endpoint

Service Status

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Apertis cannot confirm the current service state. This is not a report that the model is down.

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Pricing

Input$0.075 / 1M

Output$0.30 / 1M

Cache Write (5m)$0.075 / 1M

Cache Write (1h)$0.075 / 1M

Cache Read$0.075 / 1M

Quick Start

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Endpoint

python

from openai import OpenAI client = OpenAI(    api_key="YOUR_API_KEY",    base_url="https://api.apertis.ai/v1") response = client.chat.completions.create(    model="gemini-embedding-001",    messages=[        {"role": "user", "content": "Hello!"}    ],    max_tokens=1024,    temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(#     model="gemini-embedding-001",#     messages=[{"role": "user", "content": "Hello!"}],#     extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )

Supported Parameters

API docs

Common4 params

modelinputencoding_formatdimensions

Extended1 param

user

Cursor IDE Model IDs

Use these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.

gemini-embedding-001

Compare with Other Models

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Gemini 2.5 Flash Lite Preview 09-2025

Gemini 2.5 Flash-Lite is a lightweight, low-latency model focused on speed and cost efficiency. It generates tokens quickly and outperforms earlier Flash models on common benchmarks. “Thinking” (multi-pass reasoning) is off by default for maximum speed, but can be turned on through the Reasoning API when deeper reasoning is needed.

Context: 1.0M
Input: $0.05/M
Output: $0.20/M

Gemini 2.5 Flash Lite Preview 06-17

Gemini 2.5 Flash-Lite is a smaller, low-latency model focused on speed and cost efficiency. It delivers faster generation and better benchmark performance than earlier Flash models. Thinking mode is off by default for maximum speed, but developers can enable it when they want deeper reasoning at a higher cost.

Context: 1.0M
Input: $0.025/M
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Gemini 2.5 Flash Preview (thinking)

Context: 1.0M
Input: $0.075/M
Output: $1.75/M