Intfloat: Multilingual-E5-Large

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 large-scale data search.

• Context window: 8,192 tokens
• Input: text
• Output: embeddings
• Pricing: $0.01/M input tokens

View on OpenRouter. Model data sourced from OpenRouter.