Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3
I wanted to share our new speech to text model, and the library to use them effectively. We're a small startup (six people, sub-$100k monthly GPU budget) so I'm proud of the work the team has done to create streaming STT models with lower word-error rates than OpenAI's largest Whisper model. Admittedly Large v3 is a couple of years old, but we're near the top the HF OpenASR leaderboard, even up against Nvidia's Parakeet family. Anyway, I'd love to get feedback on the models and software, and hear about what people might build with it.
Moonshine Open-Weights STT models – higher accuracy than WhisperLargev3 launched on February 24, 2026 with 316 votes, #70 of 16,628 launches that month and more than 99% of that year's launches.
In plain words
Moonshine offers open-weights speech-to-text models that achieve lower word-error rates than OpenAI's Whisper Large v3, built by a six-person startup. The models support streaming transcription and rank near the top of the HF OpenASR leaderboard, competing with Nvidia's Parakeet family. Moonshine includes a software library for effectively deploying these models, designed for developers building speech recognition applications.
written from the facts on this page · September 2026
From the sources
Very low latency speech to text, intent recognition, and text to speech, for building voice agents and interfaces - moonshine-ai/moonshine
Moonshine Voice is an open source AI toolkit for developers building real-time voice agents and applications. Full guides, models, and API reference are at moonshine-voice.readthedocs.io . pip install moonshine-voice moonshine-voice mic --language en Every other platform is covered in the Quickstart , with runnable samples in Examples . Building with a coding agent? Copy .agents/skills/moonshine-voice/ into your project's .agents/skills/ folder, or run npx skills add moonshine-ai/moonshine --skill moonshine-voice . The skill teaches the current API shape so the agent does not reach for Whisper or the old DialogFlow names. Licensed under the MIT License . The models are MIT by default too,…from github.com
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