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Comparison of all-mpnet-base-v2, bge-m3-multi-8k, VoyageAI by MongoDB: voyage-4
3 modelssentence-transformersall-mpnet-base-v2Remove ×BAAIbge-m3-multi-8kRemove ×voyageaiVoyageAI by MongoDB: voyage-4Remove ×
What’s differentA sentence transformation model that has been trained on a wide range of datasets, including but not limited to S2ORC, WikiAnwers, PAQ, Stack Exchange, and Yahoo! Answers. Our model can be used for various…BGE-M3 is a multilingual text embedding model developed by BAAI, distinguished by its Multi-Linguality (supporting 100+ languages), Multi-Functionality (unified dense, multi-vector, and sparse retrieval),…voyage-4 is a general-purpose (including multilingual) embedding model optimized for retrieval/search and AI applications. voyage-4 supports embeddings in 2048, 1024, 512, and 256 dimensions, with multiple…
DateFeb 28, 2023ListedSep 3, 2026ListedJul 27, 2026Listed
Listed rate$0.005 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗See provider quotes$0.06 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →0 endpoints →1 endpoint →
Context window5128.2K32K
Max output460—28.8K
Parameters———
Open weightsSupportedNot reportedNot reported

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