modelbenchmark.io

BGE M3

bge-m3

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Multilingual embedding model combining dense, sparse, and multi-vector retrieval

Specification

most-agreed values

Context
8K
Max output
0
Released
2024-01-30
Knowledge cutoff
—
Retires
—
Open weights
yes
Input
text
Output
text

Price

US dollars per million tokens · most-agreed

Input
$0.01
Output
free

Available from 4 hosts

HostIn $/MOut $/MCache rdCache wrContextOutputRetires
libertai · libertai$0.01free——8K——
novita$0.01$0.01——8K96K—
novita-ai · baai$0.01free——8K0—
digitalocean$0.02free——8K1K—