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Comparison of bge-m3-multi, Nemotron-3-Diarization, VoyageAI by MongoDB: voyage-multimodal-3.5
3 modelsBAAIbge-m3-multiRemove ×nvidiaNemotron-3-DiarizationRemove ×voyageaiVoyageAI by MongoDB: voyage-multimodal-3.5Remove ×
What’s differentBGE-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),…Nemotron 3 Diarization is an open-weight streaming Sortformer model, engineered for low-latency speaker diarization across up to 8 speakers, ordered by arrival time. It powers meeting transcription, call…voyage-multimodal-3.5 is a state-of-the-art multimodal embedding model capable of vectorizing not only text, images, and video individually, but also content that interleaves all three modalities. It…
DateFeb 28, 2025ListedSep 25, 2026ListedJul 27, 2026Listed
Listed rateSee provider quotes$0.00001/ secondDeepInfra · all routes ↗Input audio second$0.12 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints0 endpoints →1 endpoint →1 endpoint →
Context window512—32K
Max output——28.8K
Parameters———
Image inputNot reportedNot reportedSupported

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