Nebius Token Factory
Mini toolsMoonshine
By Moonshine AI
Moonshine is a family of speech-to-text models optimized for fast and accurate automatic speech recognition (ASR) on resource-constrained devices. It is well-suited to real-time, on-device applications like live transcription and voice command recognition. English Moonshine obtains word-error rates (WER) better than similarly-sized Tiny and Base Whisper on the OpenASR leaderboard, and non-English Moonshine variants outperform Whisper Small and Medium, which are 9x and 28x larger, respectively.
Moonshine processes audio segments between 5x-15x faster than Whisper while maintaining the same (or significantly better!) WER/CER. This is because its compute requirements scale with the length of input audio. Shorter input audio is processed faster, unlike Whisper models that process everything as 30-second chunks.
Unquantized Base is 62M parameters (or 400MB), while Tiny is 27M parameters (around 190MB).
Moonshine processes audio segments between 5x-15x faster than Whisper while maintaining the same (or significantly better!) WER/CER. This is because its compute requirements scale with the length of input audio. Shorter input audio is processed faster, unlike Whisper models that process everything as 30-second chunks.
Unquantized Base is 62M parameters (or 400MB), while Tiny is 27M parameters (around 190MB).
Audio
Gen 4
Overview
Moonshine's AI offers a voice interface that runs locally, so all your data remains 100% under your control.
About Moonshine AI
Moonshine's AI offers a voice interface that runs locally, so all your data remains 100% under your control.
Website:
moonshine.ai
Tools using Moonshine
No tools found for this model yet.
Last updated: October 8, 2025
