Mixedbread AI Launches Toast 1 Embedding Model to Rival OpenAI at Lower Cost

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Mixedbread AI has released Toast 1, an open-weight text embedding model that outperforms OpenAI's text-embedding-3-large on the MTEB benchmark with a score of 68.4 versus 67.9. The model supports over 50 languages and offers variable output dimensions, including Matryoshka embeddings that allow vector truncation while retaining most semantic information. Mixedbread attributed the model's performance to high-quality training data curation and transformer architecture improvements rather than sheer data volume. OpenAI's competing model costs $0.13 per million tokens, while Toast 1 can be self-hosted on a consumer GPU with 8GB VRAM, potentially reducing costs to a fraction of that figure. The model is aimed at developers building RAG systems, semantic search, and document classification applications at scale.

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