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Comparison of Nemotron-3-Diarization, embeddinggemma-2, whisper-large-v3
3 modelsnvidiaNemotron-3-DiarizationRemove ×googleembeddinggemma-2Remove ×openaiwhisper-large-v3Remove ×
What’s differentNemotron 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,…Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech…
DateSep 25, 2026ListedOct 8, 2026ListedJul 17, 2024Listed
Listed rate$0.00001/ secondDeepInfra · all routes ↗Input audio secondSee provider quotes$7.50 in / $0.00 out/ 1M tokensOpenRouter · all routes ↗
Provider endpoints1 endpoint →0 endpoints →2 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported13.63% WER ↗openai/whisper-large-v3Leaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported7.99% WER ↗openai/whisper-large-v3Leaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported8.35% WER ↗openai/whisper-large-v3Leaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported1.56% WER ↗openai/whisper-large-v3Leaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported3.52% WER ↗openai/whisper-large-v3Leaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported2.71% WER ↗openai/whisper-large-v3Leaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported13.73% WER ↗openai/whisper-large-v3Leaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported3.95% WER ↗openai/whisper-large-v3Leaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported4.53% WER ↗openai/whisper-large-v3Leaderboard entry
Context window—8.2K—
Max output———
Parameters———
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported
Open weightsNot reportedNot reportedSupported

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