{"id":6259,"date":"2026-04-09T15:15:35","date_gmt":"2026-04-09T07:15:35","guid":{"rendered":"https:\/\/crepal.ai\/blog\/?p=6259"},"modified":"2026-04-09T15:16:27","modified_gmt":"2026-04-09T07:16:27","slug":"aivideo-happyhorse-vs-seedance-2-0","status":"publish","type":"post","link":"https:\/\/crepal.ai\/blog\/aivideo\/aivideo-happyhorse-vs-seedance-2-0\/","title":{"rendered":"HappyHorse-1.0 vs Seedance 2.0: Which Model Wins Right Now?"},"content":{"rendered":"\n<p>Hey guys! I was staring at the <a href=\"https:\/\/artificialanalysis.ai\/video\/leaderboard\/text-to-video\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Artificial Analysis Video Arena leaderboard<\/a> at an embarrassing hour last week when I noticed a name I&#8217;d never seen sitting at #1 above Seedance 2.0. HappyHorse-1.0. No blog post. No founder tweet. No press release. Just a score and a horse.<\/p>\n\n\n\n<p>Naturally, I spent the next few hours down a rabbit hole, and here&#8217;s the honest version of what creators actually need to know \u2014 scores, what they mean, and the part everyone&#8217;s glossing over: <strong>you can&#8217;t reliably access HappyHorse-1.0 right now through any official channel.<\/strong><\/p>\n\n\n\n<p>Let me show you both sides.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"the-short-answer-first\">The Short Answer First<\/h2>\n\n\n\n<p>On blind user rankings as of early April 2026:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>No audio needed?<\/strong> HappyHorse-1.0 is the current #1 model.<\/li>\n\n\n\n<li><strong>Need audio sync?<\/strong> Seedance 2.0 is still #1, by hair.<\/li>\n\n\n\n<li><strong>Need to actually use something today?<\/strong> Seedance 2.0. Full stop.<\/li>\n<\/ul>\n\n\n\n<p>That last point is the one this article earns its keep on. Keep reading.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"current-leaderboard-numbers\">Current Leaderboard Numbers<\/h2>\n\n\n\n<p>The Analysis uses blind Elo ratings \u2014 real users vote on two videos generated from the same prompt without knowing which model produced each. No lab self-reporting. No sponsored rankings. It&#8217;s one of the most trustworthy benchmarks available.<\/p>\n\n\n\n<p>Here&#8217;s a quick reference for how Elo gaps translate to real-world differences: a 60-point gap means one model wins roughly 58\u201359% of head-to-head matchups. A 5-point gap is statistical noise.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"no-audio-happyhorse-1-seedance-2-updated-april-9-data\">No Audio: HappyHorse #1, Seedance #2 (updated April 9 data)<\/h3>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Category<\/td><td class=\"has-text-align-center\" data-align=\"center\">HappyHorse-1.0<\/td><td class=\"has-text-align-center\" data-align=\"center\">Seedance 2.0<\/td><td class=\"has-text-align-center\" data-align=\"center\">Gap<\/td><\/tr><tr><td>Text-to-Video (no audio)<\/td><td>1,357<\/td><td>1,273<\/td><td>+84 \u2014 meaningful<\/td><\/tr><tr><td>Image-to-Video (no audio)<\/td><td>1,402<\/td><td>1,355<\/td><td>+47 \u2014 real but moderate<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>That T2V gap of 84 points is not small. In blind comparisons, HappyHorse was genuinely preferred more often \u2014 cleaner motion, better prompt adherence, stronger physical realism according to community testers on X.<\/p>\n\n\n\n<p>One important caveat I&#8217;d feel dishonest skipping: Seedance 2.0 has 7,500+ vote samples in T2V. HappyHorse&#8217;s vote count isn&#8217;t publicly broken out yet. Newer models are more volatile. These numbers will shift. Check the <a href=\"https:\/\/artificialanalysis.ai\/video\/leaderboard\/text-to-video\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">live leaderboard<\/a> before making any decisions \u2014 don&#8217;t anchor to what this article says.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"with-audio-seedance-1-happyhorse-2\">With Audio: Seedance #1, HappyHorse #2<\/h3>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"590\" data-id=\"6263\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-87-1024x590.png\" alt=\"\" class=\"wp-image-6263 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-87-1024x590.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-87-300x173.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-87-768x443.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-87-18x10.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-87.png 1254w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/590;\" \/><\/figure>\n<\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td class=\"has-text-align-center\" data-align=\"center\">Category<\/td><td class=\"has-text-align-center\" data-align=\"center\">Seedance 2.0<\/td><td class=\"has-text-align-center\" data-align=\"center\">HappyHorse-1.0<\/td><td class=\"has-text-align-center\" data-align=\"center\">Gap<\/td><\/tr><tr><td>Text-to-Video (with audio)<\/td><td>1,220<\/td><td>1,215<\/td><td>+5 \u2014 noise<\/td><\/tr><tr><td>Image-to-Video (with audio)<\/td><td>1,158<\/td><td>1,160<\/td><td>+2 \u2014 also noise<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Here&#8217;s the plot twist: the audio gap is almost nothing. A 5-point difference in T2V-with-audio isn&#8217;t a Seedance victory, it&#8217;s a dead heat. Seedance is holding the crown but barely. For I2V with audio, HappyHorse is actually fractionally ahead.<\/p>\n\n\n\n<p>The reason Seedance 2.0 still &#8220;wins&#8221; the audio category is sample size stability, not a performance cliff. But honest answer: right now they&#8217;re essentially tied on audio quality in blind tests.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-happyhorse-does-better\">What HappyHorse Does Better<\/h2>\n\n\n\n<p>The no-audio lead is real and it comes from a few specific things:<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-2 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1024\" height=\"673\" data-id=\"6264\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-88.png\" alt=\"\" class=\"wp-image-6264 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-88.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-88-300x197.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-88-768x505.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-88-18x12.png 18w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/673;\" \/><\/figure>\n<\/figure>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Visual fidelity and prompt alignment.<\/strong> Community testers consistently note sharper motion, better handling of physical dynamics, and stronger coherence across multi-shot sequences. The claimed architecture \u2014 a 40-layer single-stream Transformer with 8-step distilled inference \u2014 produces outputs that blind voters preferred in the majority of head-to-heads against Seedance 2.0 without audio.<\/li>\n\n\n\n<li><strong>Speed.<\/strong> The model reportedly generates 1080p video in roughly 38 seconds on a single H100. That&#8217;s genuinely fast for this quality tier.<\/li>\n\n\n\n<li><strong>Open-source licensing (in theory).<\/strong> The model is described as fully open-source with commercial rights \u2014 weights, distilled model, super-resolution module, inference code. If and when those actually become accessible, that&#8217;s a real differentiator for teams who want self-hosted workflows.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"where-seedance-2-0-still-leads\">Where Seedance 2.0 Still Leads<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Audio synchronization, actually available: <\/strong>Seedance 2.0 on <a href=\"https:\/\/dreamina.capcut.com\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Dreamina<\/a> is ready to use today, delivering a full workflow with built-in audio sync for music, dialogue, and ambient sound.<\/li>\n\n\n\n<li><strong>Vote sample reliability: <\/strong>Sedance has 7,500+ blind comparisons, offering more reliable rankings than HappyHorse.<\/li>\n\n\n\n<li><strong>Ecosystem maturity: <\/strong>CapCut\/Dreamina integration, documented API behavior, known cost structure. When something goes wrong with Seedance (and sometimes it does \u2014 I&#8217;ve had it fumble complex motion prompts), I know how to work around it. With HappyHorse, there&#8217;s nothing to work around yet because there&#8217;s no real workflow to work within.<\/li>\n\n\n\n<li><strong>Portrait and speech content: <\/strong>With 60%+ of tests focused on face-and-speech, Seedance&#8217;s stability in talking-head and lip-sync videos is more valuable than HappyHorse&#8217;s Elo score.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"access-which-one-can-you-try-today\">Access: Which One Can You Try Today<\/h2>\n\n\n\n<p>This is where the comparison gets uncomfortable \u2014 in a good, honest way.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-3 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"559\" data-id=\"6266\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-89-1024x559.png\" alt=\"\" class=\"wp-image-6266 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-89-1024x559.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-89-300x164.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-89-768x419.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-89-18x10.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-89.png 1320w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/559;\" \/><\/figure>\n<\/figure>\n\n\n\n<p><strong>Seedance 2.0:<\/strong> Available through Dreamina, with documented pricing and accessible API. You can start a project right now.<\/p>\n\n\n\n<p><strong>HappyHorse-1.0: <\/strong>When the model appeared on the Artificial Analysis leaderboard in early April 2026, it was labeled &#8220;pseudonymous&#8221; \u2014 no confirmed team, no official launch, no press release. The GitHub repo linked from various HappyHorse sites returned 404 errors at the time of writing. The Hugging Face weights weren&#8217;t downloadable. And then the model was quietly removed from the leaderboard entirely.<\/p>\n\n\n\n<p>Third-party demo sites offer browser-based generation, but they&#8217;re not the official developer and come with their own terms.<\/p>\n\n\n\n<p>I don&#8217;t know who built HappyHorse. Community speculation points toward Sand.ai&#8217;s daVinci-MagiHuman \u2014 the parameter count, architecture description, and language list match almost exactly \u2014 but nobody has officially confirmed anything. There&#8217;s a precedent for this kind of anonymous drop in the Chinese AI ecosystem (Pony Alpha in February 2026 turned out to be Z.ai&#8217;s GLM-5 doing a stealth stress test), but parallel patterns don&#8217;t prove identity.<\/p>\n\n\n\n<p>What I do know: <strong>a model that wins blind benchmarks but can&#8217;t be integrated into a production <\/strong><strong>workflow<\/strong><strong> doesn&#8217;t change what you ship tomorrow.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"decision-guide-for-creators\">Decision Guide for Creators<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"no-audio-needed-happyhorse-when-accessible\">No audio needed \u2192 HappyHorse (when accessible)<\/h3>\n\n\n\n<p>If your project is B-roll, product visuals, abstract motion, or any video that gets audio added in post \u2014 HappyHorse-1.0 is the better model on current blind ranking data. The 84-point T2V gap is real.<\/p>\n\n\n\n<p>But right now, &#8220;when accessible&#8221; is doing a lot of work in that sentence. Keep an eye on the official GitHub and Hugging Face repos. If weights drop publicly, this changes your workflow decision immediately.<\/p>\n\n\n\n<p>In the meantime, the practical #1 for no-audio T2V from something you can actually run is <strong>SkyReels V4<\/strong> (Elo 1,244), followed closely by <strong>Kling 3.0 Pro<\/strong> and <strong>PixVerse V6<\/strong>. Not as good as HappyHorse on benchmarks, but they exist in the real world.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"need-audio-sync-seedance-2-0\">Need audio sync \u2192 Seedance 2.0<\/h3>\n\n\n\n<p>For talking-head content, avatar video, lip-sync, or any workflow where audio is part of the generation \u2014 uses Seedance 2.0. The audio gap vs. HappyHorse is statistically negligible (5 points in T2V), but Seedance is accessible, stable, and has 7,500+ vote samples backing its rankings.<\/p>\n\n\n\n<p>I&#8217;ve been using Seedance 2.0 for avatar-style videos since my <a href=\"https:\/\/seed.bytedance.com\/zh\/seedance1_5_pro\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Seedance 1.5 Pro<\/a> review and the improvement from 1.5 to 2.0 in dynamic consistency was noticeable. It&#8217;s still my default for anything voice-driven.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"conclusion\">Conclusion<\/h2>\n\n\n\n<p>HappyHorse-1.0 is a genuinely impressive blind-test result. An 84-point Elo lead in T2V without audio over Seedance 2.0 \u2014 which was the previous #1 \u2014 is not a fluke. Real people preferred it in blind comparisons.<\/p>\n\n\n\n<p>But a leaderboard score you can&#8217;t reproduce in your own project doesn&#8217;t save your deadline.<\/p>\n\n\n\n<p>Right now, Seedance 2.0 is the model that actually exists in a form creators can use. HappyHorse is the model worth watching closely \u2014 and if it drops publicly accessible weights in the next few weeks (which the open-source promises suggest it might), this comparison needs a rewrite.<\/p>\n\n\n\n<p>I&#8217;ll update this when that happens. Until then: use what you can ship with.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq\">FAQ<\/h2>\n\n\n\n<p><strong>Q: What makes Seedance 2.0 better than other AI music video tools? <\/strong>Seedance 2.0 offers full audio sync for music, dialogue, and ambient sound, making it a complete workflow solution.<\/p>\n\n\n\n<p><strong>Q: Why is HappyHorse-1.0 hard to access? <\/strong>HappyHorse-1.0 has no public API or weights, making it unreliable and inaccessible right now.<\/p>\n\n\n\n<p><strong>Q: How does the voting system in the Artificial Analysis Video Arena work? <\/strong>Real users vote blindly on videos from the same prompt, providing a trustworthy benchmark without lab reporting or sponsorships.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" \/>\n\n\n\n<p><strong>Previous Posts:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"aU91ejGZ8k\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/best-image-to-video-ai-free\/\">Best Free Image to Video AI Tools (2026)<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a Best Free Image to Video AI Tools (2026) \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/best-image-to-video-ai-free\/embed\/#?secret=QJ7KeAV2LL#?secret=aU91ejGZ8k\" data-secret=\"aU91ejGZ8k\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"XA1iYh2IiT\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/ai-lyric-video-maker-free\/\">How to Make a Lyric Video with AI (Free Tools)<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a How to Make a Lyric Video with AI (Free Tools) \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/ai-lyric-video-maker-free\/embed\/#?secret=cnpSLQXbg7#?secret=XA1iYh2IiT\" data-secret=\"XA1iYh2IiT\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"qZ67KMH9Ag\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/ai-video-swap-tools\/\">Best AI Video Swap Tools in 2026 (Free &amp; Paid)<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a Best AI Video Swap Tools in 2026 (Free &amp; Paid) \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/ai-video-swap-tools\/embed\/#?secret=gclz08idad#?secret=qZ67KMH9Ag\" data-secret=\"qZ67KMH9Ag\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"26hODtQxhc\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/best-ai-video-models-2026\/\">Best AI Video Models in 2026: Full Comparison<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a Best AI Video Models in 2026: Full Comparison \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/best-ai-video-models-2026\/embed\/#?secret=PFy59h8Qd8#?secret=26hODtQxhc\" data-secret=\"26hODtQxhc\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Hey guys! I was staring at the Artificial Analysis Video Arena leaderboard at an embarrassing hour last week when I noticed a name I&#8217;d never seen sitting at #1 above Seedance 2.0. HappyHorse-1.0. No blog post. No founder tweet. No press release. Just a score and a horse. Naturally, I spent the next few hours [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":6276,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","_uag_custom_page_level_css":"","footnotes":""},"categories":[8],"tags":[],"class_list":["post-6259","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aivideo"],"blocksy_meta":[],"uagb_featured_image_src":{"full":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90.png",1584,854,false],"thumbnail":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90-150x150.png",150,150,true],"medium":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90-300x162.png",300,162,true],"medium_large":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90-768x414.png",768,414,true],"large":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90-1024x552.png",1024,552,true],"1536x1536":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90-1536x828.png",1536,828,true],"2048x2048":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90.png",1584,854,false],"trp-custom-language-flag":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-90-18x10.png",18,10,true]},"uagb_author_info":{"display_name":"Dora","author_link":"https:\/\/crepal.ai\/blog\/author\/dora\/"},"uagb_comment_info":0,"uagb_excerpt":"Hey guys! I was staring at the Artificial Analysis Video Arena leaderboard at an embarrassing hour last week when I noticed a name I&#8217;d never seen sitting at #1 above Seedance 2.0. HappyHorse-1.0. No blog post. No founder tweet. No press release. Just a score and a horse. Naturally, I spent the next few hours&hellip;","_links":{"self":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/6259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/comments?post=6259"}],"version-history":[{"count":1,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/6259\/revisions"}],"predecessor-version":[{"id":6277,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/6259\/revisions\/6277"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media\/6276"}],"wp:attachment":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media?parent=6259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/categories?post=6259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/tags?post=6259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}