E5-Large-v2

Available

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.

Context
512 tokens
Dimensions
—
Input / 1M tokens
$0.01per 1M tokens
Listed since
Nov 18, 2025

Prices and model data from OpenRouter

Where it's availableProviders · 1

ProviderInput / 1M tokensOutput / 1M tokensStatus
OpenRouter$0.01FreeAvailable