--- title: Superwhisper releases S1-mini, a small open-weights... description: Superwhisper released S1-mini, its first open-weights language model, sized at 0.6B parameters and designed to process transcripts entirely on-device without a... canonical: https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Superwhisper releases S1-mini, a small open-weights transcript model | daily.dev og:description: Superwhisper released S1-mini, its first open-weights language model, sized at 0.6B parameters and designed to process transcripts entirely on-device without a... og:url: https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox og:image: https://api.daily.dev/og/posts/d8vGvsQOX.png og:image:alt: Superwhisper releases S1-mini, a small open-weights transcript model og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Superwhisper releases S1-mini, a small open-weights transcript model **[Collections](https://daily.dev/sources/collections)** · 1 min read · 1 upvotes · 0 comments ## Summary Superwhisper released S1-mini, its first open-weights language model, sized at 0.6B parameters and designed to process transcripts entirely on-device without a cloud round-trip. Notable ML figures Clément Delangue and Merve Noyann shared the release on their feeds. Details remain sparse beyond the headline specs, but the release fits a broader trend of teams favoring small, efficient, locally-runnable models over ever-larger benchmark-chasing ones. ## Content Superwhisper has put out S1-mini, its first open-weights language model. Both Clément Delangue and Merve Noyann flagged it on their feeds, which is usually a decent signal that something in the open-source ML space is worth a look. The model itself is small: 0.6B parameters, built to process transcripts entirely on-device. No cloud round-trip needed, which matters if you care about latency, privacy, or just not sending audio transcripts off to someone else's server. Details beyond that are still thin - the announcement thread doesn't go much further than the headline specs. But a sub-1B model aimed squarely at local transcript processing fits a pattern we've been seeing more of: teams optimizing for "good enough and runs on your laptop" instead of chasing benchmark scores with ever-bigger models. Worth keeping an eye on once people start actually running it. ## Questions this post answers ### What is Superwhisper S1-mini and how big is it? S1-mini is Superwhisper's first open-weights language model, sized at 0.6 billion parameters and built to process transcripts entirely on-device rather than relying on a cloud round-trip. This avoids sending audio transcripts to external servers, addressing latency and privacy concerns for local speech processing workflows. _Track new on-device transcript models like this one as they land on daily.dev._ --- Tags: [#llm](https://daily.dev/tags/llm), [#speech-recognition](https://daily.dev/tags/speech-recognition), [#huggingface](https://daily.dev/tags/huggingface) [View this post on daily.dev](https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Superwhisper releases S1-mini, a small open-weights transcript model","url":"https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox"},"datePublished":"2026-08-20T22:40:14.111Z","dateModified":"2026-08-20T22:40:47.337Z","description":"Superwhisper released S1-mini, its first open-weights language model, sized at 0.6B parameters and designed to process transcripts entirely on-device without a...","isAccessibleForFree":true,"articleSection":"Collections","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Collections","logo":"https://media.daily.dev/image/upload/s--fk_6ycEi--/f_auto,q_auto/v1780996001/logos/collections?_a=BAMAMiWQ0","url":"https://daily.dev/sources/collections"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":1},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,speech-recognition,huggingface","timeRequired":"PT1M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Collections","item":"https://daily.dev/sources/collections"},{"@type":"ListItem","position":3,"name":"Superwhisper releases S1-mini, a small open-weights transcript model"}]} {"@context":"https://schema.org","@type":"FAQPage","@id":"https://daily.dev/posts/superwhisper-releases-s1-mini-a-small-open-weights-transcript-model-d8vgvsqox#faq","mainEntity":[{"@type":"Question","name":"What is Superwhisper S1-mini and how big is it?","acceptedAnswer":{"@type":"Answer","text":"S1-mini is Superwhisper's first open-weights language model, sized at 0.6 billion parameters and built to process transcripts entirely on-device rather than relying on a cloud round-trip. This avoids sending audio transcripts to external servers, addressing latency and privacy concerns for local speech processing workflows. Track new on-device transcript models like this one as they land on daily.dev."}}]} ```