{"id":112274,"date":"2026-08-19T00:38:25","date_gmt":"2026-08-19T00:38:25","guid":{"rendered":"https:\/\/youzum.net\/cartesia-ships-sonic-3-6-a-streaming-tts-model-that-now-leads-both-artificial-analysis-speech-arenas\/"},"modified":"2026-08-19T00:38:25","modified_gmt":"2026-08-19T00:38:25","slug":"cartesia-ships-sonic-3-6-a-streaming-tts-model-that-now-leads-both-artificial-analysis-speech-arenas","status":"publish","type":"post","link":"https:\/\/youzum.net\/fr\/cartesia-ships-sonic-3-6-a-streaming-tts-model-that-now-leads-both-artificial-analysis-speech-arenas\/","title":{"rendered":"Cartesia Ships Sonic-3.6: A Streaming TTS Model That Now Leads Both Artificial Analysis Speech Arenas"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><a href=\"https:\/\/www.cartesia.ai\/\">Cartesia<\/a> has released<a href=\"https:\/\/www.cartesia.ai\/sonic\" target=\"_blank\" rel=\"noreferrer noopener\"> <strong>Sonic-3.6<\/strong><\/a>, the newest version of its real-time text-to-speech model. It arrives roughly three months after Sonic-3.5. The new change is naturalness, and this one is independently checkable. Sonic 3.6 now holds <strong>#1 on both Artificial Analysis speech leaderboards<\/strong> \u2014 1,283 Elo on the <a href=\"https:\/\/artificialanalysis.ai\/text-to-speech\/leaderboard\/provider-voice\">Provider Voice board<\/a> and 1,123 on the <a href=\"https:\/\/artificialanalysis.ai\/text-to-speech\/leaderboard\/controlled-voice\">Controlled Voice board<\/a>. The second result matters more. That board clones every model onto the same eight reference voices, which isolates the synthesis engine from the voice catalog. Sonic-3.6 leads it, with Sonic-3.5 second and ElevenLabs Eleven v3 third. The model runs on <a href=\"https:\/\/www.cartesia.ai\/launch\">state space models<\/a> rather than transformers, and Cartesia states sub-90ms time-to-first-audio. It is <strong>available in beta<\/strong>.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Is it deployable?<\/strong><\/h2>\n<p class=\"wp-block-paragraph\"><strong>YES, it is available in beta and as a hosted API. Not as self-hosted weights.<\/strong><\/p>\n<p class=\"wp-block-paragraph\">Sonic is a closed, commercial model. There are no open weights and no Hugging Face repo. You rent it.<\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Company level<\/strong>: Solo developers and startups (Free\/<a href=\"https:\/\/www.cartesia.ai\/pricing\">Pro $5<\/a> tiers), scaleups running contact centers (<a href=\"https:\/\/www.cartesia.ai\/pricing\">Startup $49 \/ Scale $299<\/a>), and regulated enterprises needing DPAs, BAAs, and SSO.<\/li>\n<li><strong>Industries<\/strong>: Financial services, healthcare, retail and e-commerce, logistics, recruiting, SaaS support, consumer companion apps, media localization<\/li>\n<li><strong>Applications<\/strong>: Inbound support agents, outbound qualification calls, IVR replacement, appointment reminders, sales-training simulators, audio localization, in-product voice UI<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\"><strong>The Architecture<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Sonic runs on <strong>state space models<\/strong> rather than transformers. Cartesia\u2019s <a href=\"https:\/\/www.cartesia.ai\/launch\">launch page<\/a> frames the usual tradeoffs \u2014 speed versus naturalness, accuracy versus cost \u2014 as architectural, not inevitable.<\/p>\n<p class=\"wp-block-paragraph\">The practical output is time-to-first-audio. Cartesia states <strong>sub-90ms<\/strong> TTS latency, and 100ms transcript latency for its Ink-2 speech-to-text model. Both are vendor-stated model latency, not measured end-to-end round trips.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Interactive explainer<\/strong><\/h2>\n<p><!-- Cartesia Sonic-3.6 interactive explainer | paste into a WordPress CUSTOM HTML block --><\/p>\n<p class=\"wp-block-paragraph\">\n<h2 class=\"wp-block-heading\"><strong>Features that matter in production<\/strong><\/h2>\n<\/p><p class=\"wp-block-paragraph\"><strong>Sonic exposes controls built for agent transcripts rather than narration:<\/strong><\/p>\n<ul class=\"wp-block-list\">\n<li><strong>Inline expression tags.<\/strong> Non-verbal expressions like <code>[laughter]<\/code> go directly in the transcript.<\/li>\n<li><strong>Instant voice cloning<\/strong> from about 10 seconds of audio.<\/li>\n<li><strong>Custom pronunciation dictionaries<\/strong>, including IPA overrides such as <code>&lt;&lt;s|\u0259|\u02c8|p|i|n|\u0259&gt;&gt;<\/code> for <em>subpoena<\/em>.<\/li>\n<li><strong>Speed, volume, and emotion parameters<\/strong> exposed through the API and integrations like the <a href=\"https:\/\/docs.livekit.io\/agents\/models\/tts\/cartesia\/\">LiveKit Agents plugin<\/a>.<\/li>\n<li><strong>Native alphanumerics.<\/strong> Order numbers, phone numbers, and confirmation codes read correctly without preprocessing.<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">Cartesia\u2019s launch demos show English with natural pauses and filler words, plus Hinglish code-switching between Hindi and English.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Pricing reality<\/strong><\/h2>\n<p class=\"wp-block-paragraph\">Artificial Analysis normalizes Sonic 3.6 at <strong>$49.00 per 1M characters<\/strong>. That is half of ElevenLabs Eleven v3 at $100.00, and well above Speechify Simba 3.2 at $10.00 for a 1,240 Elo.<\/p>\n<p class=\"wp-block-paragraph\">Cartesia sells credits, not characters. Scale at $299 per month includes roughly 10,667 TTS minutes and 15 concurrent requests. <a href=\"https:\/\/www.cartesia.ai\/agents\">Line voice agents<\/a> bill separately at $0.06 per minute.<\/p>\n<h2 class=\"wp-block-heading\"><strong>Key Takeaways<\/strong><\/h2>\n<ul class=\"wp-block-list\">\n<li>Sonic-3.6 is <strong>#1 on both Artificial Analysis speech arenas<\/strong> \u2014 1,283 Elo Provider Voice, 1,123 Controlled Voice.<\/li>\n<li>Winning the Controlled board means the <strong>engine improved<\/strong>, not just the voice catalog.<\/li>\n<li>It is <strong>beta on Cartesia\u2019s API only<\/strong>; docs still list Sonic 3.5 as stable, and partners carry 3.5.<\/li>\n<li>Deployable as a <strong>hosted API, not self-hosted weights<\/strong>; commercial use starts at the $5 Pro tier.<\/li>\n<li>Latency claims (<strong>sub-90ms TTFA<\/strong>) are <strong>vendor-stated model latency<\/strong>, so benchmark your own round trip.<\/li>\n<\/ul>\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n<p class=\"wp-block-paragraph\">\n<\/p><p class=\"wp-block-paragraph\">Check out the\u00a0<em><strong><a href=\"https:\/\/www.cartesia.ai\/sonic\">Project Page-Cartesia Sonic<\/a>, <a href=\"https:\/\/www.cartesia.ai\/launch\">Cartesia launch page<\/a>, <a href=\"https:\/\/www.cartesia.ai\/pricing\">Cartesia pricing<\/a>, <a href=\"https:\/\/docs.cartesia.ai\/build-with-cartesia\/tts-models\/latest\">Cartesia docs<\/a>, <a href=\"https:\/\/artificialanalysis.ai\/text-to-speech\/leaderboard\/provider-voice\">Artificial Analysis Speech Arena<\/a> <\/strong>and<strong> <a href=\"https:\/\/x.com\/cartesia\/status\/2089401199967559932\">@cartesia on X<\/a>.<\/strong> All figures verified August 18, 2026.<\/em>.<strong>\u00a0<\/strong>Also,\u00a0feel free to follow us on\u00a0<strong><a href=\"https:\/\/x.com\/intent\/follow?screen_name=marktechpost\" target=\"_blank\" rel=\"noreferrer noopener\"><mark>Twitter<\/mark><\/a><\/strong>\u00a0and don\u2019t forget to join our\u00a0<strong><a href=\"https:\/\/www.reddit.com\/r\/machinelearningnews\/\" target=\"_blank\" rel=\"noreferrer noopener\">150k+ML SubReddit<\/a><\/strong>\u00a0and Subscribe to\u00a0<strong><a href=\"https:\/\/magic.beehiiv.com\/v1\/f5e63dd4-5653-4f09-83e2-321a8b1ba526?email=%7B%7Bemail%7D%7D\" target=\"_blank\" rel=\"noreferrer noopener\">our Newsletter<\/a><\/strong>. Wait! are you on telegram?\u00a0<strong><a href=\"https:\/\/t.me\/machinelearningresearchnews\" target=\"_blank\" rel=\"noreferrer noopener\">now you can join us on telegram as well.<\/a><\/strong><\/p>\n<p class=\"wp-block-paragraph\">Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.?\u00a0<strong><a href=\"https:\/\/forms.gle\/wbash1wF6efRj8G58\" target=\"_blank\" rel=\"noreferrer noopener\"><mark>Connect with us<\/mark><\/a><\/strong><\/p>\n<p>The post <a href=\"https:\/\/www.marktechpost.com\/2026\/08\/18\/cartesia-ships-sonic-3-6-a-streaming-tts-model-that-now-leads-both-artificial-analysis-speech-arenas\/\">Cartesia Ships Sonic-3.6: A Streaming TTS Model That Now Leads Both Artificial Analysis Speech Arenas<\/a> appeared first on <a href=\"https:\/\/www.marktechpost.com\/\">MarkTechPost<\/a>.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cartesia has released Sonic-3.6, the newest version of its real-time text-to-speech model. It arrives roughly three months after Sonic-3.5. The new change is naturalness, and this one is independently checkable. Sonic 3.6 now holds #1 on both Artificial Analysis speech leaderboards \u2014 1,283 Elo on the Provider Voice board and 1,123 on the Controlled Voice board. The second result matters more. That board clones every model onto the same eight reference voices, which isolates the synthesis engine from the voice catalog. Sonic-3.6 leads it, with Sonic-3.5 second and ElevenLabs Eleven v3 third. The model runs on state space models rather than transformers, and Cartesia states sub-90ms time-to-first-audio. It is available in beta. Is it deployable? YES, it is available in beta and as a hosted API. Not as self-hosted weights. Sonic is a closed, commercial model. There are no open weights and no Hugging Face repo. You rent it. Company level: Solo developers and startups (Free\/Pro $5 tiers), scaleups running contact centers (Startup $49 \/ Scale $299), and regulated enterprises needing DPAs, BAAs, and SSO. Industries: Financial services, healthcare, retail and e-commerce, logistics, recruiting, SaaS support, consumer companion apps, media localization Applications: Inbound support agents, outbound qualification calls, IVR replacement, appointment reminders, sales-training simulators, audio localization, in-product voice UI The Architecture Sonic runs on state space models rather than transformers. Cartesia\u2019s launch page frames the usual tradeoffs \u2014 speed versus naturalness, accuracy versus cost \u2014 as architectural, not inevitable. The practical output is time-to-first-audio. Cartesia states sub-90ms TTS latency, and 100ms transcript latency for its Ink-2 speech-to-text model. Both are vendor-stated model latency, not measured end-to-end round trips. Interactive explainer Features that matter in production Sonic exposes controls built for agent transcripts rather than narration: Inline expression tags. Non-verbal expressions like [laughter] go directly in the transcript. Instant voice cloning from about 10 seconds of audio. Custom pronunciation dictionaries, including IPA overrides such as &lt;&lt;s|\u0259|\u02c8|p|i|n|\u0259&gt;&gt; for subpoena. Speed, volume, and emotion parameters exposed through the API and integrations like the LiveKit Agents plugin. Native alphanumerics. Order numbers, phone numbers, and confirmation codes read correctly without preprocessing. Cartesia\u2019s launch demos show English with natural pauses and filler words, plus Hinglish code-switching between Hindi and English. Pricing reality Artificial Analysis normalizes Sonic 3.6 at $49.00 per 1M characters. That is half of ElevenLabs Eleven v3 at $100.00, and well above Speechify Simba 3.2 at $10.00 for a 1,240 Elo. Cartesia sells credits, not characters. Scale at $299 per month includes roughly 10,667 TTS minutes and 15 concurrent requests. Line voice agents bill separately at $0.06 per minute. Key Takeaways Sonic-3.6 is #1 on both Artificial Analysis speech arenas \u2014 1,283 Elo Provider Voice, 1,123 Controlled Voice. Winning the Controlled board means the engine improved, not just the voice catalog. It is beta on Cartesia\u2019s API only; docs still list Sonic 3.5 as stable, and partners carry 3.5. Deployable as a hosted API, not self-hosted weights; commercial use starts at the $5 Pro tier. Latency claims (sub-90ms TTFA) are vendor-stated model latency, so benchmark your own round trip. Check out the\u00a0Project Page-Cartesia Sonic, Cartesia launch page, Cartesia pricing, Cartesia docs, Artificial Analysis Speech Arena and @cartesia on X. All figures verified August 18, 2026..\u00a0Also,\u00a0feel free to follow us on\u00a0Twitter\u00a0and don\u2019t forget to join our\u00a0150k+ML SubReddit\u00a0and Subscribe to\u00a0our Newsletter. Wait! are you on telegram?\u00a0now you can join us on telegram as well. Need to partner with us for promoting your GitHub Repo OR Hugging Face Page OR Product Release OR Webinar etc.?\u00a0Connect with us The post Cartesia Ships Sonic-3.6: A Streaming TTS Model That Now Leads Both Artificial Analysis Speech Arenas appeared first on MarkTechPost.<\/p>","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"pmpro_default_level":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_pvb_checkbox_block_on_post":false,"footnotes":""},"categories":[52,5,7,1],"tags":[],"class_list":["post-112274","post","type-post","status-publish","format-standard","hentry","category-ai-club","category-committee","category-news","category-uncategorized","pmpro-has-access"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.3 - 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