Gemini Embedding 001

google/gemini-embedding-001

Maker: Google, United States
Released: 2025-05-20
Knowledge cutoff: 2025-05
Family: gemini
Weights: closed
Tasks: embedding
Cheapest offering: Google Gemini API, about $0.00015 for a typical embedding call

Try it in the sandbox Use it from the API

Offerings

Provider	Model id at the provider	Status	Price per 1M tokens	Per-unit prices	Limits	Capabilities (level)
Google Gemini API	`gemini-embedding-001`	gadeprecated 2028-05-14	Input: $0.15 Output: $0 Since 2026-11-03 · models.dev, MIT	none	Context: 2,048 tokens Max input: 2,048 tokens Max output: 1 tokens	`input.text` claimed `output.embedding` claimed
Google Vertex AI	`gemini-embedding-001`	gadeprecated 2028-05-20	Input: $0.15 Output: $0 Since 2026-11-03 · models.dev, MIT	none	Context: 2,048 tokens Max output: 1 tokens	`input.text` claimed `output.embedding` claimed

Quality scores

Basis	Score (0–1)	Raw	Measured	Source
`mteb:overall`	1.000	0.7330	2026-11-03	MTEB, CC0-1.0

Aliases

Other names the API accepts for this model.

gemini-embedding-001

Use it from the API

Look this model up, or ask for the best model for its task on the providers that offer it. See the quickstart and the API reference.

Look up this model

curl 'https://rhumbdata.com/v1/models/google/gemini-embedding-001' \
  -H "Authorization: Bearer $RHUMB_KEY"

Resolve embedding on its providers

curl 'https://rhumbdata.com/v1/resolve?task=embedding&providers=gemini,vertex' \
  -H "Authorization: Bearer $RHUMB_KEY"

Built from catalog version 2026-11-04.3 of 2026-11-04. Prices are list prices per 1M tokens unless marked otherwise; every score shows its source's notice (see Attributions).