Gemini Embedding
State-of-the-art embedding model with excellent performance across English, multilingual and code tasks.
text → embedding · made by Google
$0.15per Mtok in
ElectronHub · 4 sellers
Sold by 7 ways
| Seller | Lane | Rate |
|---|---|---|
| Google 0 ways | $0.075 | |
| Google apinot on the seller's list today | batch | $0.075per Mtok inai.google.dev · read 2026-08-24 |
| Google Vertex AI 0 ways | $0.12 | |
| Google Vertex AI cloudnot on the seller's list today | batch | $0.12per Mtok incloud.google.com · read 2026-08-24 |
| Google 0 ways | $0.15 | |
| Google apinot on the seller's list today | standard | $0.15per Mtok inai.google.dev · read 2026-08-24 |
| Google Vertex AI cloud | standard | $0.15per Mtok incloud.google.com · read 2026-08-24 |
| ElectronHub aggregator | standard | $0.15per Mtok inapi.electronhub.ai · read 2026-09-16 |
| Nous Research aggregator | standard | $0.15per Mtok ininference-api.nousresearch.com · read 2026-09-12 |
| Vercel AI Gateway aggregator | standard | $0.15per Mtok inai-gateway.vercel.sh · read 2026-08-25 |
Measured 3 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 9thof 183 | MTEB · English (MTEB(eng, v2)) | meanTask (mean score, 0-1) | 0.733 |
| 9thof 238 | MTEB · English — Reranking task-type split | scoresByTaskType.Reranking (0-1) | 0.4859 |
| 9thof 86 | MTEB · Multilingual (MTEB(Multilingual, v2)) | meanTask (mean score, 0-1) | 0.6837 |
About
Gemini Embedding — a vectors model from Google, sold by 4 companies from $0.15 per Mtok in, placed 9th of 238 on MTEB · English — Reranking task-type split.
It takes text and returns vectors, with a context window of 20,000 tokens. It was published in May 2025, trained on material up to May 2025. The catalogue files it under embedding. Four companies sell it. The cheapest is $0.15 per Mtok in at ElectronHub. It has been measured on 3 boards, and stands best at 9th of 238 on MTEB · English — Reranking task-type split.
Every current figure
- Maker
- Register
- model
- Takes
- text
- Returns
- embedding
- Context
- 20,000 tokens
- Longest answer
- 4,096 tokens
- Published
- May 2025
- Knowledge to
- May 2025
- Licence
- not read
- Sellers
- 4
- Price
- $0.15 per Mtok in — ElectronHub
- Boards
- 3
- Best place
- 9th of 238 — MTEB · English — Reranking task-type split
Known as 2 names
google/gemini-embedding-001gemini-embedding-001