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Comparison of multilingual-e5-large-instruct, Nemotron-3-Diarization, Krea 3 Edit
3 modelsintfloatmultilingual-e5-large-instructRemove ×nvidiaNemotron-3-DiarizationRemove ×kreaKrea 3 EditRemove ×
What’s differentThe Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…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…Edits and combines reference images using text instructions, with optional prompt expansion, output-size controls, and reproducible generation through a seed.
DateApr 17, 2025ListedSep 25, 2026ListedOct 14, 2026Listed
Listed rateSee provider quotes$0.00001/ secondDeepInfra · all routes ↗Input audio second$0.025/ megapixelfal · all routes ↗Output + reference images
Provider endpoints0 endpoints →1 endpoint →1 endpoint →
Context window512——
Max output———
Parameters———

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