Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of Nemotron-3-Embed-1B-BF16, Nemotron-3-Diarization
2 modelsnvidiaNemotron-3-Embed-1B-BF16Remove ×nvidiaNemotron-3-DiarizationRemove ×
What’s differentNemotron-3-Embed-1B-BF16 is a compact multilingual text embedding model from NVIDIA, pruned and distilled from Ministral-3 to ~1B parameters, that maps text into 2048-dimensional dense vectors for 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…
DateJul 15, 2026ListedSep 25, 2026Listed
Listed rateSee provider quotes$0.00001/ secondDeepInfra · all routes ↗Input audio second
Provider endpoints0 endpoints →1 endpoint →
FreshStack · MTEB 2.14.3 ↗MTEB 2.14.3; test/default; dataset 7a20df1a0.4173 ↗Revision f8801746; test/defaultContributor reportedNot reported
Context window32.8K—
Max output——
Parameters1B—

Add another model

Search all models →