bge-m3
BGE-M3 is a versatile text embedding model that supports multi-functionality, multi-linguality, and multi-granularity, allowing it to perform dense retrieval, multi-vector retrieval, and sparse retrieval in over 100 languages and with input sizes up to 8192 tokens.
text → embedding · made by BAAI
$0.01per Mtok in
DeepInfra · 3 sellers
Sold by 4 ways
| Seller | Lane | Rate |
|---|---|---|
| DigitalOcean cloud | standard | $0.02per Mtok inmodels.dev · read 2026-09-16 |
| DeepInfra aggregator | standard | $0.01per Mtok inapi.deepinfra.com · read 2026-08-25 |
| Nous Research aggregator | standard | $0.01per Mtok ininference-api.nousresearch.com · read 2026-09-12 |
| Cloudflare 0 ways | $0.012 | |
| Cloudflare aggregatornot on the seller's list today | standard | $0.012per Mtok indevelopers.cloudflare.com · read 2026-08-25 |
About
bge-m3 — a vectors model from BAAI, sold by 3 companies from $0.01 per Mtok in.
It takes text and returns vectors, with a context window of 8,194 tokens. It was published in January 2024. The catalogue files it under embedding. Three companies sell it. The cheapest is $0.01 per Mtok in at DeepInfra.
Every current figure
- Maker
- BAAI
- Register
- model
- Takes
- text
- Returns
- embedding
- Context
- 8,194 tokens
- Longest answer
- 1,024 tokens
- Published
- January 2024
- Licence
- not read
- Sellers
- 3
- Maker's own price
- not read
- Price
- $0.01 per Mtok in — DeepInfra
Known as 2 names
@cf/baai/bge-m3BAAI/bge-m3