Intfloat
The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic search, reranking, and similarity-scoring tasks.
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: Multilingual-E5-Large
intfloat/multilingual-e5-large
Input
$0.010
Intelligence
N/A
Similar category, context, price or shared benchmark signals.