Fully Informed Run a panel →

Intfloat: E5-Large-v2

Intfloat: E5-Large-v2 is an embeddings model from Intfloat, with a 512-token context window, priced at $0.01 / 1M tokens. Fully Informed benchmarks and compares models like Intfloat: E5-Large-v2 across the whole OpenRouter catalogue.

Vendor IntfloatType Embeddings512 contextPrice $0.01 / 1M tokens
Browse the model catalogue →
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.
Related embeddings models
Intfloat: E5-Base-v2$0.01 / 1M tokensIntfloat: Multilingual-E5-Large$0.01 / 1M tokensBAAI: bge-base-en-v1.5$0.01 / 1M tokensBAAI: bge-large-en-v1.5$0.01 / 1M tokensBAAI: bge-m3$0.01 / 1M tokensGoogle: Gemini Embedding 001$0.15 / 1M tokens
FAQ
What is Intfloat: E5-Large-v2?
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.
What is the context window of Intfloat: E5-Large-v2?
Intfloat: E5-Large-v2 supports a 512-token context window.
How much does Intfloat: E5-Large-v2 cost?
Intfloat: E5-Large-v2 is priced at $0.01 / 1M tokens via OpenRouter.
What are alternatives to Intfloat: E5-Large-v2?
Comparable embeddings models include Intfloat: E5-Base-v2, Intfloat: Multilingual-E5-Large, BAAI: bge-base-en-v1.5, BAAI: bge-large-en-v1.5.
Model data via OpenRouter. Browse all models · Run a panel on Fully Informed