Google

Gemini Embedding 001

gemini-embedding-001

An embedding model for semantic search, retrieval, clustering, and ranking pipelines.

Embedding model for semantic search, retrieval, clustering, and ranking pipelines

2K context2K context
Released2025-05-20
Relays3 sites
reasoningstructured output

Model information

Model ID
gemini-embedding-001
Context
2K
Max input
-
Max output
1
Knowledge cutoff
2025-05
Open weights
Not supported
License
-
Release date
2025-05-20

Input

Text: SupportedImage: Not supportedAudio: Not supportedVideo: Not supportedPDF: Not supportedFile: Not supported

Output

Text: SupportedImage: Not supportedAudio: Not supportedVideo: Not supported

API capabilities

Reasoning: Not supportedTool call: Not supportedStructured output: UnknownTemperature: Not supported

Google Official Pricing

CNY
Updated: 2026-10-04T22:55:11.671+08:00

Input

~¥1.003/ 1M tokens

Output

~¥0/ 1M tokens

Relay Comparison

Compare token, per-request, or per-second pricing by relay channel.

How should Gemini Embedding 001 relay pricing be compared?

This Gemini Embedding 001 pricing page compares official pricing with public prices from 3 listed AI gateways. Token prices are shown in CNY per 1M tokens, while per-request, per-second, and per-character rows use the unit shown in the table. Last updated: 10/23/2026, 08:14.

Data sources
Public price catalogs, official pricing records, and monitoring results.
Metric definitions
Uptime means successful probe response rate, fake-rate signals possible model mismatch or abnormal output risk, and latency is average API response time.
Risk note
Relay gateways are third-party services. Pricing, billing, privacy, and stability can change; start with a small top-up and verify reliability before continued use.