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| 3 models | BAAIbge-m3-multiRemove × | intfloatmultilingual-e5-large-instructRemove × | nvidiaNemotron-3-DiarizationRemove × |
|---|---|---|---|
| What’s different | 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),… | The 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… |
| Date | Feb 28, 2025Listed | Apr 17, 2025Listed | Sep 25, 2026Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | See provider quotes | See provider quotes | $0.00001/ secondDeepInfra · all routes ↗Input audio second |
| Provider endpoints | 0 endpoints → | 0 endpoints → | 1 endpoint → |
Specifications | |||
| Context window | 512 | 512 | — |
| Max output | — | — | — |
| Parameters | — | — | — |