{"id":293,"date":"2026-06-11T08:07:52","date_gmt":"2026-06-11T00:07:52","guid":{"rendered":"https:\/\/aidashxp.com\/diffusion-gemma-google-open-model\/"},"modified":"2026-06-11T08:07:52","modified_gmt":"2026-06-11T00:07:52","slug":"diffusion-gemma-google-open-model","status":"publish","type":"post","link":"https:\/\/aidashxp.com\/en\/diffusion-gemma-google-open-model\/","title":{"rendered":"Google open source DiffusionGemma: Diffusion model for text generation, a new paradigm that increases speed by 4 times"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Google DeepMind quietly open sourced a \u201cnon-mainstream\u201d model in early June:<strong>DiffusionGemma<\/strong>.<strong>Start with noise, gradually remove noise, and generate the entire text at once<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Diffusion model for text creation: how to do it?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Traditional LLM (such as GPT, Gemini) \"writes\" text word by word - each generated token depends on all previous tokens.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Parallel generation<\/strong>: Place a large number of placeholder tokens on the \"canvas\" at one time, and then denoise and refine in multiple rounds of iterations<\/li>\n<li><strong>bidirectional attention<\/strong>: The model can see all parts of the text simultaneously, allowing corrections and complex formatting to be inserted in real time<\/li>\n<li><strong>Speed \u200b\u200badvantage<\/strong>: Reachable on a dedicated GPU <strong>1000 tokens\/second<\/strong>, 4 times that of the traditional autoregressive model<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This idea was first unveiled as a demo at Google I\/O 2025\u2014at that time, the audience exclaimed when a model \"instantly filled up the entire text\" on the screen.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The advantages are outstanding and the disadvantages are also obvious<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Speed \u200b\u200bis DiffusionGemma\u2019s biggest selling point.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">But Google also frankly announced its shortcomings: <strong>DiffusionGemma performs worse than standard Gemma 4 in all published benchmarks<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What does it mean for developers?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The real value of DiffusionGemma is not to \u201creplace existing models\u201d;<strong>Opening up a new text generation paradigm<\/strong>.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Local real-time application<\/strong>: Requires low-latency client-side AI (game NPC dialogue, real-time subtitles)<\/li>\n<li><strong>Batch text generation<\/strong>: Content production processes that require rapid generation of large numbers of drafts<\/li>\n<li><strong>Research and exploration<\/strong>: AI researchers can explore new model design directions based on diffusion architecture<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">For the average user, DiffusionGemma is currently more of a technology preview than a practical tool.<strong>The future of AI text generation does not necessarily have to be just \u201cone word and one sentence\u201d.<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The ecosystem of open source AI models is rapidly fragmenting. <a href=\"https:\/\/aidashxp.com\/en\/\">AI Dash<\/a> \u2014\u2014Discover the best AI tools.<\/p>","protected":false},"excerpt":{"rendered":"<p>Google DeepMind \u5728 6  [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","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":"","ast-disable-related-posts":"","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-5)","background-image":"","background-repeat":"repeat","background-position":"center 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