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| 2 models | googleembeddinggemma-300mRemove × | nvidiaNemotron-3-DiarizationRemove × |
|---|---|---|
| What’s different | EmbeddingGemma is a 300M parameter multilingual open embedding model from Google DeepMind, designed for efficient deployment even on low-resource devices, producing high-quality text vector representations… | 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 | Sep 16, 2025Listed | Sep 25, 2026Listed |
API prices USD · provider configuration shown below | ||
| Listed rate | See provider quotes | $0.00001/ secondDeepInfra · all routes ↗Input audio second |
| Provider endpoints | 0 endpoints → | 1 endpoint → |
Specifications | ||
| Context window | 2K | — |
| Max output | — | — |
| Parameters | 300M | — |