Side by side

See the difference.

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

Scroll to compare models →

Comparison of text-embedding-3-large, Nemotron-3-Diarization, embeddinggemma-2
3 modelsUnknowntext-embedding-3-largeRemove ×nvidiaNemotron-3-DiarizationRemove ×googleembeddinggemma-2Remove ×
What’s different8.2K contextNemotron 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…EmbeddingGemma 2 is a 740M parameter multimodal embedding model from Google DeepMind that maps text (incl. code), images, video and audio, alone or interleaved, into a single 768-dimensional vector space,…
DateOct 16, 2026DiscoveredSep 25, 2026ListedOct 8, 2026Listed
Listed rate$0.13 in / $0.00 out/ 1M tokensExperiential · all routes ↗Standard list rate$0.00001/ secondDeepInfra · all routes ↗Input audio secondSee provider quotes
Provider endpoints1 endpoint →1 endpoint →0 endpoints →
Context window8.2K—8.2K
Max output———
Parameters———

Add another model

Search all models →