Embedding models
Text embedding models on Hormouz. 34 of them, including BAAI: bge-base-en-v1.5. Turn text into vectors for semantic search, RAG and similarity, through one API.
- 1BAAI: bge-base-en-v1.5BAAI · embedding$0.01/M in · $0.00/M out
- 2BAAI: bge-large-en-v1.5BAAI · embedding$0.01/M in · $0.00/M out
- 3BAAI: bge-m3BAAI · embedding$0.01/M in · $0.00/M out
- 4clipOpenAI · embedding~$0.000975 / sec (Nvidia L40S GPU)
- 5Google: Gemini Embedding 001Google · embedding$0.15/M in · $0.00/M out
- 6Google: Gemini Embedding 2Google · embedding$0.20/M in · $0.00/M out
- 7Google: Gemini Embedding 2 PreviewGoogle · embedding$0.20/M in · $0.00/M out
- 8Intfloat: E5-Base-v2Intfloat · embedding$0.01/M in · $0.00/M out
- 9Intfloat: E5-Large-v2Intfloat · embedding$0.01/M in · $0.00/M out
- 10Intfloat: Multilingual-E5-LargeIntfloat · embedding$0.01/M in · $0.00/M out
- 11LiquidAI: LFM2.5-Embedding-350M (free)Liquid AI · embeddingFree
- 12Mistral: Codestral Embed 2505Mistral AI · embedding$0.15/M in · $0.00/M out
- 13Mistral: Mistral Embed 2312Mistral AI · embedding$0.10/M in · $0.00/M out
- 14NVIDIA: Llama Nemotron Embed VL 1B V2 (free)NVIDIA · embeddingFree
- 15NVIDIA: Nemotron 3 Embed 1B (free)NVIDIA · embeddingFree
- 16OpenAI: Text Embedding 3 LargeOpenAI · embedding$0.13/M in · $0.00/M out
- 17OpenAI: Text Embedding 3 SmallOpenAI · embedding$0.02/M in · $0.00/M out
- 18OpenAI: Text Embedding Ada 002OpenAI · embedding$0.10/M in · $0.00/M out
- 19Perplexity: Embed V1 0.6BPerplexity · embedding$0.00/M in · $0.00/M out
- 20Perplexity: Embed V1 4BPerplexity · embedding$0.03/M in · $0.00/M out
- 21Qwen: Qwen3 Embedding 4BQwen · embedding$0.02/M in · $0.00/M out
- 22Qwen: Qwen3 Embedding 8BQwen · embedding$0.01/M in · $0.00/M out
- 23Sentence Transformers: all-MiniLM-L12-v2Sentence Transformers · embedding$0.01/M in · $0.00/M out
- 24Sentence Transformers: all-MiniLM-L6-v2Sentence Transformers · embedding$0.01/M in · $0.00/M out
- 25Sentence Transformers: all-mpnet-base-v2Sentence Transformers · embedding$0.01/M in · $0.00/M out
- 26Sentence Transformers: multi-qa-mpnet-base-dot-v1Sentence Transformers · embedding$0.01/M in · $0.00/M out
- 27Sentence Transformers: paraphrase-MiniLM-L6-v2Sentence Transformers · embedding$0.01/M in · $0.00/M out
- 28Thenlper: GTE-BaseTheNLPer · embedding$0.01/M in · $0.00/M out
- 29Thenlper: GTE-LargeTheNLPer · embedding$0.01/M in · $0.00/M out
- 30VoyageAI by MongoDB: voyage-4Voyage AI · embedding$0.06/M in · $0.00/M out
- 31VoyageAI by MongoDB: voyage-4-largeVoyage AI · embedding$0.12/M in · $0.00/M out
- 32VoyageAI by MongoDB: voyage-4-liteVoyage AI · embedding$0.02/M in · $0.00/M out
- 33VoyageAI by MongoDB: voyage-code-4Voyage AI · embedding$0.12/M in · $0.00/M out
- 34VoyageAI by MongoDB: voyage-multimodal-3.5Voyage AI · embedding$0.12/M in · $0.00/M out
FAQ
- What are embedding models used for?
- Turning text into numeric vectors for semantic search, retrieval-augmented generation (RAG) and similarity. Hormouz offers 34 embedding models, including BAAI: bge-base-en-v1.5, through one API.
Updated 2026-10-13