Intfloat
The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized for multilingual retrieval, cross-language similarity, and...
Source-reported prices are shown in their native units. No missing fee is estimated.
Input
$0.010
USD / 1M input tokens
Output
Free
USD / 1M output tokens
A check means the source explicitly lists support; a dash means the source did not publish a value.
Suggestions use deterministic rules: overlapping modalities, a context window within 2×, and shared source-reported signals. No AI-generated recommendations.
BAAI: bge-base-en-v1.5
baai/bge-base-en-v1.5
Input
$0.0050
Intelligence
N/A
Similar category, context, price or shared benchmark signals.
BAAI: bge-large-en-v1.5
baai/bge-large-en-v1.5
Input
$0.010
Intelligence
N/A
Similar category, context, price or shared benchmark signals.
Intfloat: E5-Base-v2
intfloat/e5-base-v2
Input
$0.0050
Intelligence
N/A
Similar category, context, price or shared benchmark signals.
Intfloat: E5-Large-v2
intfloat/e5-large-v2
Input
$0.010
Intelligence
N/A
Similar category, context, price or shared benchmark signals.