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Zyphra open-sources ZONOS3-Mini, a voice-cloning speech model for phones and laptops

According to a post on X by @Marktechpost, Zyphra has open-sourced ZONOS3-Mini, a voice-cloning speech model released under the Apache 2.0 license. The mixture-of-experts model has 800 million parameters, with about 100 million active per token. Zyphra reports 80 ms time to first audio on one H100 and says the model scores 66.2 on its own benchmark, ahead of Fish Audio S2 Pro at 61.7. The post's headline says the model runs on phones and laptops, but the snippet does not give device-level results.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-11T05:50:00+00:00 Detected 2026-11-11T14:24:14+00:00
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According to a post on X by @Marktechpost, Zyphra has open-sourced ZONOS3-Mini, a voice-cloning speech model released under the Apache 2.0 license. The mixture-of-experts model has 800 million parameters, with about 100 million active per token. Zyphra reports 80 ms time to first audio on one H100 and says the model scores 66.2 on its own benchmark, ahead of Fish Audio S2 Pro at 61.7. The post's headline says the model runs on phones and laptops, but the snippet does not give device-level results.

AI-assisted summary based on the listed source.

The Apache 2.0 mixture-of-experts model has 800 million parameters with about 100 million active per token, and Zyphra reports 80 ms time to first audio on one H100. On Zyphra's own benchmark it scores 66.2, ahead of Fish Audio S2 Pro at 61.7. Why it matters: Real-time voice cloning on consumer devices lowers...

Builders and businesses get an open-source option for real-time voice cloning that, according to the post, can run on consumer devices, which could lower costs. The post also notes that easier voice cloning raises the stakes for misuse. Watch for independent benchmark results, since the performance figures so far come from Zyphra's own testing.

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Signal Strength 95% Technical label WATCH Public Interest 33 Category MONEY Reader Depth PRACTICAL

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Recognizable Entity Score 0 Practical Impact Score 8 Novelty Interest Score 94 Consequence Score 34 Curiosity Score 32 Shareability Score 46

VQV surfaced this signal because it is recent, relevant to AI Voice, connected to Scobleizer News Pulse (X).