- Input
- $0.01
- Output
- $0.00
intfloatListed Jun 4, 2024
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...
Measured performance
All leaderboards ↗Benchmark results
No published results in this index yet
Scores appear here when an evaluation matches this exact model.
Access & cost
1 quotePrices across providers
Model specifications
- Developer
- intfloat
- Modality
- Embedding
- Context
- 512 tokens
- Maximum output
- 460 tokens
- Weights
- Open weights
- Provider listed
- Jun 4, 2024
- First discovered
- Oct 16, 2026
Exact identities
- openrouter
intfloat/multilingual-e5-large - deepinfra
intfloat/multilingual-e5-large
Sources
Updated Oct 17, 2026
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intfloatListed Nov 22
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…
512 contextOpen weightsNo reported score
No reported score