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Moonshine is Useful Sensors’ open-weight low-latency speech-to-text family, designed for on-device transcription on phones, laptops, and microcontrollers.
See all models from Useful SensorsModels in family
1
Open weight
1
API only
0
Avg score
72.8
Top benchmark
—
Total HF downloads
23.9K
Primary modality
Audio
First release
Nov 2025
Latest release
Nov 2025
Every release in the Moonshine family, ranked by composite score across benchmarks, popularity, efficiency, and versatility.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | audio | AA72.8 | — | Nov 2025 |
When each release shipped, newest first. Useful for tracking version cadence.
Composite grades across this family. Higher is better, blending benchmarks, popularity, and efficiency.
Models with downloadable weights, ranked by composite score.
| # | Model | Modality | Score | Params | Released |
|---|---|---|---|---|---|
| 1 | audio | AA72.8 | — | Nov 2025 |
The Moonshine family is a series of AI models from Useful Sensors. This page lists every release in the family with its benchmark scores, parameter count, and hardware requirements.
By composite score, Moonshine Streaming Medium is currently the top model in the family. For local inference, match the parameter count to your VRAM budget. For quality, pick the highest scorer that fits.
See the open-weight section above for models you can run locally. The API-only section lists closed releases that must be accessed through the provider’s API.
Spin up an instance in the cloud, or pick local hardware that fits.
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