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summary{cursor:pointer;list-style:none;font-weight:700;color:var(--gv3-ink);display:flex;justify-content:space-between;align-items:center;gap:10px;font-size:15px}\n.guidaio-v3 .faq summary::-webkit-details-marker{display:none}\n.guidaio-v3 .faq summary svg{color:var(--gv3-brand)}\n.guidaio-v3 .faq .ans{color:var(--gv3-muted);margin-top:10px;font-size:14px}\n.guidaio-v3 section.block.conclusion{background:radial-gradient(700px 320px at 0% 0%,rgba(124,99,255,.18),transparent 60%),linear-gradient(135deg,#1c163a 0%,#2c1d8a 100%);color:#fff;border-color:#2c1d8a}\n.guidaio-v3 section.block.conclusion .head h2{color:#fff}\n.guidaio-v3 section.block.conclusion .lead,.guidaio-v3 section.block.conclusion .rich p{color:rgba(255,255,255,.88)}\n.guidaio-v3 section.block.conclusion .rich strong,.guidaio-v3 section.block.conclusion .rich b{color:#fff}\n.guidaio-v3 section.block.conclusion .eyebrow{background:rgba(255,255,255,.14);color:#fff}\n.guidaio-v3 section.block.conclusion .btn-secondary{background:rgba(255,255,255,.14);color:#fff;border-color:rgba(255,255,255,.25)}\n@media (max-width:1080px){.guidaio-v3 .hero-grid,.guidaio-v3 .trust-grid,.guidaio-v3 .company-grid,.guidaio-v3 .setup-grid,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid{grid-template-columns:repeat(2,minmax(0,1fr))}}\n@media (max-width:700px){.guidaio-v3{padding:12px 8px 48px}.guidaio-v3 .hero{padding:20px}.guidaio-v3 section.block{padding:20px}.guidaio-v3 .grid-2,.guidaio-v3 .grid-3,.guidaio-v3 .res-grid,.guidaio-v3 .plan-grid,.guidaio-v3 .bestnot,.guidaio-v3 .availability{grid-template-columns:1fr}.guidaio-v3 h1.title{font-size:28px}}\n\u003c\/style\u003e\n\u003cdiv class=\"guidaio-v3\" itemscope itemtype=\"https:\/\/schema.org\/SoftwareApplication\"\u003e\n\u003cmeta itemprop=\"name\" content=\"Google DeepMind: Gemini, Veo, Imagen \u0026amp; Gemma AI Models\"\u003e\n\u003cmeta itemprop=\"description\" content=\"Google DeepMind is Google's AI research lab behind Gemini, Veo, Imagen, Lyria, Genie, Gemma and AlphaFold. Explore its models, research and safety work.\"\u003e\n\u003cdiv class=\"hero\"\u003e\u003cdiv class=\"hero-grid\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"hero-head\"\u003e\n\u003cdiv class=\"logo-tile\"\u003e\u003cimg src=\"https:\/\/lh3.googleusercontent.com\/BJIjbCcZWJxE1GFvgIXWdWFXW0ECXBzsBe-JHx95GSuDVFKdli-cocBQRXll_xaipD6bNQ0B_Wz7JI2Ken5TFjrfUuSlv0hgq2qjgirOMK2eirjLXA8=w1200-h630-n-nu-rw\" alt=\"Google DeepMind logo\" itemprop=\"image\" loading=\"lazy\"\u003e\u003c\/div\u003e\n\u003cdiv class=\"name-block\"\u003e\n\u003cspan class=\"eyebrow\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"m12 3-1.9 5.8a2 2 0 0 1-1.3 1.3L3 12l5.8 1.9a2 2 0 0 1 1.3 1.3L12 21l1.9-5.8a2 2 0 0 1 1.3-1.3L21 12l-5.8-1.9a2 2 0 0 1-1.3-1.3Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Academic Research · Agents Orchestration Frameworks\u003c\/span\u003e\u003ch1 class=\"title\" itemprop=\"name\"\u003eGoogle DeepMind\u003c\/h1\u003e\n\u003cp class=\"lede justify\" itemprop=\"description\"\u003eGoogle DeepMind is Google's AI research lab, born from the merger of DeepMind and Google Brain. It builds and publishes the \u003cb\u003eGemini\u003c\/b\u003e, Veo, Imagen, Lyria, Genie and Gemma model families, alongside scientific systems such as AlphaFold.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"badge-row\"\u003e\n\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Active\u003c\/span\u003e\u003cspan class=\"badge ok\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e GDPR compliant\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"22 7 13.5 15.5 8.5 10.5 2 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"16 7 22 7 22 13\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e Freemium\u003c\/span\u003e\u003cspan class=\"badge\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M6.3 20.3a2.4 2.4 0 0 0 3.4 0L12 18l-6-6-2.3 2.3a2.4 2.4 0 0 0 0 3.4Z\"\u003e\u003c\/path\u003e\u003cpath d=\"m2 22 3-3\"\u003e\u003c\/path\u003e\u003cpath d=\"M7.5 13.5 10 11\"\u003e\u003c\/path\u003e\u003cpath d=\"M10.5 16.5 13 14\"\u003e\u003c\/path\u003e\u003cpath d=\"m18 3-4 4h6l-4 4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e API available\u003c\/span\u003e\u003cspan class=\"badge brand\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Verified by Guidaio\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tbd-row\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eCategories\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip cat\" href=\"\/collections\/academic-research\"\u003eAcademic Research\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/agents-orchestration-frameworks\"\u003eAgents Orchestration Frameworks\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/api-tools\"\u003eApi Tools\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/audio-transcription\"\u003eAudio Transcription\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/code-assistants\"\u003eCode Assistants\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/code-generation\"\u003eCode Generation\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/content-authenticity-detection\"\u003eContent Authenticity Detection\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/edge-on-device\"\u003eEdge On Device\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/evaluation-benchmarks\"\u003eEvaluation Benchmarks\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/gaming-tools\"\u003eGaming Tools\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/guardrails-policy\"\u003eGuardrails Policy\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/image-generators\"\u003eImage Generators\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/llm-providers\"\u003eLlm Providers\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/media-models\"\u003eMedia Models\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/multimodal-browse-agents\"\u003eMultimodal Browse Agents\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/music-generation\"\u003eMusic Generation\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/personal-assistants\"\u003ePersonal Assistants\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/privacy-security\"\u003ePrivacy Security\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/prompt-engineering\"\u003ePrompt Engineering\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/translation-language\"\u003eTranslation Language\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/video-generators\"\u003eVideo Generators\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/voice-assistants\"\u003eVoice Assistants\u003c\/a\u003e\u003ca class=\"chip cat\" href=\"\/collections\/voice-synthesis\"\u003eVoice Synthesis\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"label\"\u003eTarget domains\u003c\/div\u003e\n\u003cdiv class=\"chip-row\"\u003e\n\u003ca class=\"chip dom\" href=\"\/collections\/agriculture-forestry\"\u003eAgriculture Forestry\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/arts-entertainment\"\u003eArts Entertainment\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/biotech-pharma\"\u003eBiotech Pharma\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/cybersecurity\"\u003eCybersecurity\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/data-ai\"\u003eData Ai\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/design-creative\"\u003eDesign Creative\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/education-academia\"\u003eEducation Academia\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/energy-utilities\"\u003eEnergy Utilities\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/environment-sustainability\"\u003eEnvironment Sustainability\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/film-tv-video\"\u003eFilm Tv Video\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/geology-earth-space\"\u003eGeology Earth Space\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/geospatial-gis\"\u003eGeospatial Gis\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/government-public-administration\"\u003eGovernment Public Administration\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/healthcare-medicine\"\u003eHealthcare Medicine\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/it-software\"\u003eIt Software\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/mechanical-manufacturing\"\u003eMechanical Manufacturing\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/science-r-d\"\u003eScience R D\u003c\/a\u003e\u003ca class=\"chip dom\" href=\"\/collections\/students-job-seekers\"\u003eStudents Job Seekers\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\n\u003ca class=\"btn btn-primary\" href=\"https:\/\/deepmind.google\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Explore the models\u003c\/a\u003e\u003ca class=\"btn btn-secondary\" href=\"https:\/\/aistudio.google.com\/prompts\/new_chat\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"6 3 20 12 6 21 6 3\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e Build with Gemini\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003caside class=\"snapshot\"\u003e\u003ch3\u003eSnapshot\u003c\/h3\u003e\n\u003cdl\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003ePricing model\u003c\/dt\u003e\n\u003cdd\u003eFreemium\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eAPI available\u003c\/dt\u003e\n\u003cdd\u003eYes\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eDeployment\u003c\/dt\u003e\n\u003cdd\u003eWeb app · API\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eTool status\u003c\/dt\u003e\n\u003cdd\u003eActive\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdt\u003eCountry of origin\u003c\/dt\u003e\n\u003cdd\u003e🇺🇸 United States\u003c\/dd\u003e\n\u003c\/div\u003e\n\u003c\/dl\u003e\u003c\/aside\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cnav class=\"toc\" aria-label=\"Page sections\"\u003e\u003ca href=\"#what\"\u003eWhat is it\u003c\/a\u003e\u003ca href=\"#bestnot\"\u003eWhen to use Google DeepMind \/ When not to\u003c\/a\u003e\u003ca href=\"#how\"\u003eHow to use\u003c\/a\u003e\u003ca href=\"#proscons\"\u003ePros \u0026amp; Cons\u003c\/a\u003e\u003ca href=\"#pricing\"\u003ePricing\u003c\/a\u003e\u003ca href=\"#trust\"\u003eTrust \u0026amp; Privacy\u003c\/a\u003e\u003ca href=\"#watch\"\u003eWatch-outs\u003c\/a\u003e\u003ca href=\"#setup\"\u003eSetup \u0026amp; Integrations\u003c\/a\u003e\u003ca href=\"#company\"\u003eCompany\u003c\/a\u003e\u003ca href=\"#resources\"\u003eResources\u003c\/a\u003e\u003ca href=\"#alternatives\"\u003eAlternatives\u003c\/a\u003e\u003ca href=\"#faq\"\u003eFAQ\u003c\/a\u003e\u003ca href=\"#conclusion\"\u003eConclusion\u003c\/a\u003e\u003c\/nav\u003e\n\u003csection class=\"block\" id=\"what\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOverview\u003c\/span\u003e\u003ch2\u003eWhat is Google DeepMind?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"rich justify\"\u003e\n\u003cp\u003e\u003cb\u003eGoogle DeepMind\u003c\/b\u003e is Google's artificial intelligence laboratory, formed by bringing together two research groups: DeepMind, started in 2010 with an interdisciplinary approach spanning machine learning, neuroscience, engineering, mathematics and simulation, and Google Brain, started in 2011 at X, the moonshot factory. The combined team is led by co-founder and CEO Demis Hassabis.\u003c\/p\u003e\n\u003cp\u003eIts record explains the ambition. DeepMind produced DQN, which learned forty-nine Atari games from raw pixels; AlphaGo, the first program to beat a Go world champion, in 2015; AlphaZero and MuZero; AlphaStar, the first system to defeat a top professional at StarCraft II, in 2019; WaveNet, which became the voice of Google Assistant; and AlphaFold, which predicted 3D protein structures in 2020. Google Brain invented the Transformer architecture in 2017, open-sourced BERT, JAX and TensorFlow, and built the LaMDA and PaLM model families.\u003c\/p\u003e\n\u003cp\u003eThe site organises today's output into four groups. \u003cb\u003eGemini\u003c\/b\u003e covers frontier text and agent models, from 3.6 Flash to 3.1 Pro, plus Gemini Omni, Gemini Image, Gemini Audio and Gemini Embedding. \u003cb\u003eSpecialised models\u003c\/b\u003e gather Veo for cinematic video with audio, Imagen for text-to-image and Lyria for music. \u003cb\u003eWorld models and physical AI\u003c\/b\u003e hold Genie 3, which generates explorable interactive environments, and Gemini Robotics, presented as an intelligence layer for any kind of robot, with an on-device variant. \u003cb\u003eGemma\u003c\/b\u003e is the open model family.\u003c\/p\u003e\n\u003cp\u003eA separate science strand applies the same methods to research: AlphaFold, cited as used by more than three million researchers, AlphaGenome, WeatherNext for weather and cyclone forecasting, AlphaEarth for planetary mapping, AlphaEvolve for algorithm design, and Co-Scientist. \u003cb\u003eSynthID\u003c\/b\u003e embeds imperceptible watermarks into generated images, video, audio and text, designed to survive cropping, filters, frame-rate changes, lossy compression and added noise.\u003c\/p\u003e\n\u003cp\u003eNote what the site is not: a shop. It publishes no prices, no plans and no contact page. The models are used elsewhere, on the Gemini app, Google AI Studio, the Gemini API, Google Antigravity and Google Flow.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003ch3 style=\"font-size:14px;margin-bottom:12px;color:var(--gv3-brand-ink);text-transform:uppercase;letter-spacing:.08em\"\u003eWhat it does\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eGenerate text, code and agentic workflows with the Gemini model family\u003c\/li\u003e\n\u003cli\u003eCreate and edit images with Gemini Image, also known as Nano Banana, and with Imagen\u003c\/li\u003e\n\u003cli\u003eProduce cinematic video with synchronised audio through Veo and Gemini Omni\u003c\/li\u003e\n\u003cli\u003eCompose high-fidelity music and speech with Lyria and Gemini Audio\u003c\/li\u003e\n\u003cli\u003eGenerate and explore interactive 3D worlds with Genie 3\u003c\/li\u003e\n\u003cli\u003eRun open models locally with the Gemma family\u003c\/li\u003e\n\u003cli\u003eWatermark and identify AI-generated images, video, audio and text with SynthID\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"bestnot\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eAudience\u003c\/span\u003e\u003ch2\u003eWhen to use Google DeepMind \/ When not to\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA quick filter to help you decide if Google DeepMind is the right fit.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bestnot\"\u003e\n\u003cdiv class=\"card for\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M7 10v12\"\u003e\u003c\/path\u003e\u003cpath d=\"M15 5.88 14 10h5.83a2 2 0 0 1 1.92 2.56l-2.33 8A2 2 0 0 1 17.5 22H4a2 2 0 0 1-2-2v-8a2 2 0 0 1 2-2h2.76a2 2 0 0 0 1.79-1.11L12 2a3.13 3.13 0 0 1 3 3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When to use Google DeepMind\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eDevelopers building on the Gemini API or running the open Gemma models locally\u003c\/li\u003e\n\u003cli\u003eAI and machine-learning researchers who need model cards, evaluations and the lab's published papers\u003c\/li\u003e\n\u003cli\u003eScientists in biology, genomics, weather and earth observation working with AlphaFold, AlphaGenome, WeatherNext or AlphaEarth\u003c\/li\u003e\n\u003cli\u003eCreative professionals generating video, images, music or interactive worlds with Veo, Imagen, Lyria and Genie\u003c\/li\u003e\n\u003cli\u003eRobotics and embedded teams evaluating Gemini Robotics, including its on-device variant\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card not\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M17 14V2\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 18.12 10 14H4.17a2 2 0 0 1-1.92-2.56l2.33-8A2 2 0 0 1 6.5 2H20a2 2 0 0 1 2 2v8a2 2 0 0 1-2 2h-2.76a2 2 0 0 0-1.79 1.11L12 22a3.13 3.13 0 0 1-3-3.88Z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e When not to use Google DeepMind\u003c\/h3\u003e\n\u003cul class=\"brand-list\"\u003e\n\u003cli\u003eBuyers who need a published price list: the site sells nothing and shows no plans\u003c\/li\u003e\n\u003cli\u003eAnyone looking for a support channel, as there is no contact page and no email address on the domain\u003c\/li\u003e\n\u003cli\u003eTeams needing DeepMind-specific legal terms, since the applicable documents are Google's general terms and privacy policy\u003c\/li\u003e\n\u003cli\u003eMobile-first users expecting a dedicated DeepMind app: no App Store or Google Play listing is offered\u003c\/li\u003e\n\u003cli\u003eProcurement or compliance teams requiring a DPA, a subprocessor list or a documented training opt-out\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"how\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eGet started\u003c\/span\u003e\u003ch2\u003eHow to use Google DeepMind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA typical end-to-end flow, from setup to results.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003col class=\"steps\"\u003e\n\u003cli\u003eOpen deepmind.google and browse the Models section to see the current catalogue by modality\u003c\/li\u003e\n\u003cli\u003eRead the model card and the Evals page for the model you are considering\u003c\/li\u003e\n\u003cli\u003ePick an access surface from the 'Try it in' block shown on each model page\u003c\/li\u003e\n\u003cli\u003eSign in with a Google account, which the product surfaces require even though the showcase site does not\u003c\/li\u003e\n\u003cli\u003eTry a model conversationally in the Gemini app, or interactively in Google AI Studio\u003c\/li\u003e\n\u003cli\u003eFollow the official prompt guide for your modality, whether video, image, music or worlds\u003c\/li\u003e\n\u003cli\u003eFor programmatic use, read the Gemini API documentation on ai.google.dev and obtain an API key\u003c\/li\u003e\n\u003cli\u003eFor open models, get Gemma through AI Studio or the Run Gemma documentation and run it locally\u003c\/li\u003e\n\u003cli\u003eConsult the research and breakthroughs pages for methodology, benchmarks and publications\u003c\/li\u003e\n\u003cli\u003eSubscribe to the newsletter in the footer to follow new model releases\u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"proscons\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eQuick read\u003c\/span\u003e\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"grid-2\"\u003e\n\u003cdiv class=\"pc pros\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"m9 12 2 2 4-4\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Pros\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eComplete multimodal coverage from a single lab: text, image, video, audio, music, 3D worlds and robotics\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eOpen models available alongside proprietary ones, so work need not be locked to a hosted API\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eBenchmarks published with methodology and explicit comparison against named competing models\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eModel cards and a dedicated evaluations page make model behaviour auditable\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eDeep research record, with 262 publications listed in the site's own sitemap\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eNamed, formalised safety governance: AI Principles, Responsibility and Safety Council, AGI Safety Council and the Frontier Safety Framework\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolyline points=\"20 6 9 17 4 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e \u003cspan\u003eSynthID provides provenance for generated content across all four modalities\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pc cons\"\u003e\n\u003ch3\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"4.93\" y1=\"4.93\" x2=\"19.07\" y2=\"19.07\"\u003e\u003c\/line\u003e\u003c\/svg\u003e Cons\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo pricing page and no plans: the only figures on the site are API token prices inside a benchmark table\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo contact page and no email address anywhere on the domain\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eLegal documents are Google's general terms and privacy policy rather than DeepMind-specific ones, and their content varies by the reader's region\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo DPA, no subprocessor list and no documented training opt-out in the pages collected\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eHosting countries unspecified, since Google states data may be processed in any country of the world\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eNo minimum age given as a figure; the terms defer to the age required for a Google account\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"18\" y1=\"6\" x2=\"6\" y2=\"18\"\u003e\u003c\/line\u003e\u003cline x1=\"6\" y1=\"6\" x2=\"18\" y2=\"18\"\u003e\u003c\/line\u003e\u003c\/svg\u003e \u003cspan\u003eActual use is dispersed across several Google surfaces, none of them on deepmind.google itself\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"pricing\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003ePricing\u003c\/span\u003e\u003ch2\u003ePricing \u0026amp; Plans\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cp class=\"rich justify\" style=\"color:var(--gv3-ink-2);margin:0 0 18px;max-width:80ch\"\u003eGoogle DeepMind publishes no pricing page and no plans on its website. Free access to the models exists in practice through the Gemini app and Google AI Studio, though the site never describes this as a free plan, and no time-limited free trial is mentioned. The only figures shown are API token prices in a benchmark comparison table on the Gemini model page: 1.50 USD per million input tokens and 7.50 USD per million output tokens for Gemini 3.6 Flash, 1.50 and 9.00 USD for Gemini 3.5 Flash, and 2.00 and 12.00 USD for Gemini 3.1 Pro. These amounts are presented for comparison rather than as a commercial offer, and should be confirmed in the API documentation before any commitment.\u003c\/p\u003e\n\u003cdiv class=\"pricing-extras\"\u003e\u003cdiv class=\"affiliate-note\"\u003ePrices and plans listed above may evolve. Always check the official pricing page before subscribing.\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"trust\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eTrust \u0026amp; Privacy\u003c\/span\u003e\u003ch2\u003eData, GDPR \u0026amp; hosting\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eA consolidated view of how Google DeepMind handles your data.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-grid\"\u003e\n\u003cdiv class=\"col\"\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eGDPR overview\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eGoogle's privacy policy carries a dedicated European requirements section and states outright that it covers Google's compliance with EU and UK data protection law. It lists the rights available, namely access, update, deletion, restriction, objection and portability, and enumerates five legal bases: contract, legitimate interests, vital interests, legal obligation and consent. Two controllers are named: Google Ireland Limited, Gordon House, Barrow Street, Dublin 4, Ireland for the EEA and Switzerland, and Google LLC, Mountain View, California for the United Kingdom. The data protection office is reachable through a support form rather than a published email address. No Article 27 representative is designated, which is consistent, since the EEA controller is established inside the Union. The Swiss representatives named in the policy answer to Article 14 of Swiss law, not the GDPR.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eWho owns the data?\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 12px\"\u003eGoogle's Terms of Service state that your content remains yours: you keep any intellectual property rights you hold in it. Google, for its part, retains the intellectual property rights it holds in the services themselves, and forbids removing or altering its branding, logos and legal notices. Feedback is treated differently: if you send suggestions, Google may act on them without any obligation towards you. Note that these are Google's general terms rather than a DeepMind-specific contract, and the contracting entity changes with your location, being Google Ireland Limited in the EEA and Switzerland and Google LLC elsewhere.\u003c\/p\u003e\n\u003ch3\u003eReuse rights\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0\"\u003eUsers keep their own content and may reuse it freely, since the terms transfer no ownership to Google. What Google does with the information it collects is set out in its privacy policy, effective 2 April 2026: content you create or upload, usage signals from devices, browsers and activity, location data, and information gathered from publicly accessible sources. Google states that publicly available material helps train its AI models, and names Google Ireland Limited as the controller responsible for processing information to train those models for services delivered in the EEA and Switzerland. Personal information is not shared outside Google except with your consent, with domain administrators, with affiliates and service providers acting on Google's instructions, or for legal reasons. Whether customer content itself feeds model training is not settled in these documents, and the Gemini Apps carry a separate privacy notice that this record does not cover.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eData retention \u0026amp; training\u003c\/h3\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eRetention summary\u003c\/div\u003e\n\u003cdiv class=\"v justify\"\u003eGoogle keeps data for different periods depending on what it is, how it is used and how you configure your settings. Some information can be deleted at any time, including personal details, content you created or uploaded and saved activity, and automatic deletion after a chosen period can be switched on. Other data is deleted or anonymised automatically after a set time, such as advertising data in server logs. Some is kept until you delete your Google account, and some is retained longer where needed for security, fraud and abuse prevention or financial record-keeping. Deleted data goes through a removal process that either erases it or keeps it only in anonymised form, and copies may persist briefly in active and backup systems. Google publishes a separate page detailing its retention periods.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eTrains on customer data\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cspan class=\"badge warn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Unclear\u003c\/span\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"col\"\u003e\u003cdiv class=\"trust-card\"\u003e\n\u003ch3\u003eHosting summary\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eGoogle DeepMind's website states no hosting jurisdiction of its own, and the applicable document is Google's privacy policy. It says Google maintains servers around the world and that information may be processed on servers located outside the country where you live and, in its own wording, possibly in any country of the world. Affiliates and service providers receiving that information may likewise be located in, or process it from, any country. Google says the protections described in the policy apply regardless of where processing happens, and that it complies with certain legal frameworks governing data transfers, without listing them on the page collected. For users in the EEA and Switzerland the controller is Google Ireland Limited in Dublin; for the United Kingdom it is Google LLC in Mountain View, California. No country list and no regional commitment such as EU-only or UK-only hosting is published, which is why neither hosting countries nor hosting regions could be recorded for this tool.\u003c\/p\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block watch\" id=\"watch\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eWatch-outs\u003c\/span\u003e\u003ch2\u003eThings to keep in mind\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eRisks and trade-offs to weigh before adopting Google DeepMind.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cul class=\"brand-list\" style=\"grid-template-columns:repeat(2,1fr);display:grid;gap:12px 24px\"\u003e\n\u003cli\u003eOver-reliance on generative models can erode the very skills they seem to replace, from writing to reasoning through a problem, especially when output is accepted without review\u003c\/li\u003e\n\u003cli\u003eThe applicable terms are Google's general ones and the contracting entity changes with your location, so the rights you actually hold depend on where you are\u003c\/li\u003e\n\u003cli\u003eWhether customer content feeds model training is not settled in the published documents, and no opt-out mechanism is documented\u003c\/li\u003e\n\u003cli\u003eData may be processed in any country in the world, with no hosting jurisdiction guaranteed\u003c\/li\u003e\n\u003cli\u003eGenerated video, images, audio and text are realistic enough to mislead; SynthID watermarking helps, but only where it is applied and actually checked\u003c\/li\u003e\n\u003cli\u003eBenchmark scores and API prices shown on the site are comparisons published by the vendor, not contractual commitments\u003c\/li\u003e\n\u003cli\u003eCapabilities move quickly, with variants in preview or announced as coming soon, so behaviour observed today may not hold tomorrow\u003c\/li\u003e\n\u003c\/ul\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"setup\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eSetup\u003c\/span\u003e\u003ch2\u003eSetup \u0026amp; Integrations\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"setup-grid\"\u003e\u003cdiv class=\"setup-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eTechnical difficulty\u003c\/h3\u003e\n\u003cp class=\"justify\" style=\"color:var(--gv3-ink-2);margin:0 0 14px\"\u003eBrowsing the site requires nothing at all: no account, no installation. Trying a model is almost as simple, since the Gemini app and Google AI Studio need only a Google account, and official prompt guides cover video, image, music and world generation for newcomers. Difficulty rises with programmatic use: the Gemini API assumes developer skills, an API key and time with the documentation. Running the open Gemma models locally is the most demanding path, requiring suitable hardware. In short: trivial to explore, easy to try, moderate to integrate.\u003c\/p\u003e\n\u003ch3 style=\"font-size:15px;margin:14px 0 10px\"\u003eDeployment\u003c\/h3\u003e\n\u003cdiv class=\"flag-row\"\u003e\n\u003cspan class=\"flag\"\u003eWeb app\u003c\/span\u003e\u003cspan class=\"flag\"\u003eAPI\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"company\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompany\u003c\/span\u003e\u003ch2\u003eBehind Google DeepMind\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-grid\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCompany name\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e\u003cb\u003eGoogle LLC\u003c\/b\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eFounded\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e26\/10\/2023\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eCountry of origin\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eHeadquarters\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e1600 Amphitheatre Parkway, Mountain View, California 94043, USA\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eEU office\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eGordon House, Barrow Street, Dublin 4, Ireland\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUS office\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e1600 Amphitheatre Parkway, Mountain View, California 94043, USA\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003eAlphabet Inc.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eUBO country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"kv\"\u003e\n\u003cdiv class=\"k\"\u003eDomain registrar country\u003c\/div\u003e\n\u003cdiv class=\"v\"\u003e🇺🇸 United States\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"display:grid;gap:14px\"\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eFundraising\u003c\/h3\u003e\n\u003cdiv class=\"timeline\"\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e No fundraising rounds: Google DeepMind is part of Google LLC, itself a subsidiary of the publicly listed Alphabet Inc., and deepmind.google publishes no funding information\u003c\/div\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Reported off-site and not confirmed by the website: DeepMind was acquired by Google in 2014 and merged with Google Brain in April 2023\u003c\/div\u003e\n\u003cdiv class=\"ev\"\u003e\n\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M4.5 16.5c-1.5 1.26-2 5-2 5s3.74-.5 5-2c.71-.84.7-2.13-.09-2.91a2.18 2.18 0 0 0-2.91-.09z\"\u003e\u003c\/path\u003e\u003cpath d=\"m12 15-3-3a22 22 0 0 1 2-3.95A12.88 12.88 0 0 1 22 2c0 2.72-.78 7.5-6 11a22.35 22.35 0 0 1-4 2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M9 12H4s.55-3.03 2-4c1.62-1.08 5 0 5 0\"\u003e\u003c\/path\u003e\u003cpath d=\"M12 15v5s3.03-.55 4-2c1.08-1.62 0-5 0-5\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Funding announced in the other direction on the site: a 40 million USD Google commitment to the Genesis Mission, and 10 million USD from Google.org to the Raspberry Pi Foundation for the Experience AI programme\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"company-card\"\u003e\n\u003ch3 style=\"font-size:15px;margin-bottom:10px\"\u003eSocial\u003c\/h3\u003e\n\u003cdiv class=\"social-row\"\u003e\n\u003ca class=\"social\" href=\"https:\/\/www.linkedin.com\/company\/googledeepmind\/\" target=\"_blank\" rel=\"noopener\" aria-label=\"LinkedIn\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-4 0v7h-4v-7a6 6 0 0 1 6-6z\"\u003e\u003c\/path\u003e\u003crect x=\"2\" y=\"9\" width=\"4\" height=\"12\"\u003e\u003c\/rect\u003e\u003ccircle cx=\"4\" cy=\"4\" r=\"2\"\u003e\u003c\/circle\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003ca class=\"social\" href=\"https:\/\/www.instagram.com\/googledeepmind\" target=\"_blank\" rel=\"noopener\" aria-label=\"Instagram\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003crect x=\"2\" y=\"2\" width=\"20\" height=\"20\" rx=\"5\"\u003e\u003c\/rect\u003e\u003cpath d=\"M16 11.37A4 4 0 1 1 12.63 8 4 4 0 0 1 16 11.37z\"\u003e\u003c\/path\u003e\u003cline x1=\"17.5\" y1=\"6.5\" x2=\"17.51\" y2=\"6.5\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/a\u003e\u003ca class=\"social\" href=\"https:\/\/www.youtube.com\/@googledeepmind\" target=\"_blank\" rel=\"noopener\" aria-label=\"YouTube\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"18\" height=\"18\"\u003e\u003cpath d=\"M22.54 6.42a2.78 2.78 0 0 0-1.94-2C18.88 4 12 4 12 4s-6.88 0-8.6.46a2.78 2.78 0 0 0-1.94 2A29 29 0 0 0 1 11.75a29 29 0 0 0 .46 5.33A2.78 2.78 0 0 0 3.4 19c1.72.46 8.6.46 8.6.46s6.88 0 8.6-.46a2.78 2.78 0 0 0 1.94-2 29 29 0 0 0 .46-5.25 29 29 0 0 0-.46-5.33z\"\u003e\u003c\/path\u003e\u003cpolygon points=\"9.75 15.02 15.5 11.75 9.75 8.48 9.75 15.02\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e\u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"resources\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eOfficial links\u003c\/span\u003e\u003ch2\u003eResources\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eAll the official URLs gathered for verification and reference.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"res-grid\"\u003e\n\u003ca class=\"res\" href=\"https:\/\/deepmind.google\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cpath d=\"M12 2a14.5 14.5 0 0 0 0 20 14.5 14.5 0 0 0 0-20\"\u003e\u003c\/path\u003e\u003cpath d=\"M2 12h20\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eHomepage\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003edeepmind.google\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/deepmind.google\/models\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"12 2 2 7 12 12 22 7 12 2\"\u003e\u003c\/polygon\u003e\u003cpolyline points=\"2 17 12 22 22 17\"\u003e\u003c\/polyline\u003e\u003cpolyline points=\"2 12 12 17 22 12\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eFeatures\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003edeepmind.google\/models\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/deepmind.google\/about\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003ccircle cx=\"12\" cy=\"12\" r=\"10\"\u003e\u003c\/circle\u003e\u003cline x1=\"12\" y1=\"16\" x2=\"12\" y2=\"12\"\u003e\u003c\/line\u003e\u003cline x1=\"12\" y1=\"8\" x2=\"12.01\" y2=\"8\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAbout\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003edeepmind.google\/about\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/aistudio.google.com\/prompts\/new_chat\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"6 3 20 12 6 21 6 3\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eDemo\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003eaistudio.google.com\/prompts\/new_chat\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/policies.google.com\/terms\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z\"\u003e\u003c\/path\u003e\u003cpolyline points=\"14 2 14 8 20 8\"\u003e\u003c\/polyline\u003e\u003cline x1=\"16\" y1=\"13\" x2=\"8\" y2=\"13\"\u003e\u003c\/line\u003e\u003cline x1=\"16\" y1=\"17\" x2=\"8\" y2=\"17\"\u003e\u003c\/line\u003e\u003cpolyline points=\"10 9 9 9 8 9\"\u003e\u003c\/polyline\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eTerms\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003epolicies.google.com\/terms\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/policies.google.com\/privacy\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003ePrivacy policy\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003epolicies.google.com\/privacy\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\u003ca class=\"res\" href=\"https:\/\/ai.google.dev\/gemini-api\/docs\/models\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpath d=\"M2 3h6a4 4 0 0 1 4 4v14a3 3 0 0 0-3-3H2z\"\u003e\u003c\/path\u003e\u003cpath d=\"M22 3h-6a4 4 0 0 0-4 4v14a3 3 0 0 1 3-3h7z\"\u003e\u003c\/path\u003e\u003c\/svg\u003e\u003cdiv class=\"res-text\"\u003e\n\u003cdiv\u003eAPI documentation\u003c\/div\u003e\n\u003cdiv class=\"url\"\u003eai.google.dev\/gemini-api\/docs\/models\u003c\/div\u003e\n\u003c\/div\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block soft\" id=\"alternatives\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eCompare\u003c\/span\u003e\u003ch2\u003eAlternatives\u003c\/h2\u003e\n\u003cp class=\"lead\"\u003eTools that compete with or complement Google DeepMind.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"alts\"\u003e\n\u003cspan class=\"alt\"\u003e\u003cspan class=\"av\"\u003eG\u003c\/span\u003e GPT-5.6 Luna\u003c\/span\u003e\u003cspan class=\"alt\"\u003e\u003cspan class=\"av\"\u003eG\u003c\/span\u003e Grok 4.5\u003c\/span\u003e\u003cspan class=\"alt\"\u003e\u003cspan class=\"av\"\u003eC\u003c\/span\u003e Claude Sonnet 5\u003c\/span\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block\" id=\"faq\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eFAQ\u003c\/span\u003e\u003ch2\u003eFrequently asked questions\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"faq\"\u003e\n\u003cdetails\u003e\u003csummary\u003eWhat is Google DeepMind? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eIt is Google's artificial intelligence laboratory, formed by merging Google Brain and DeepMind into a single team led by co-founder and CEO Demis Hassabis. DeepMind started in 2010, Google Brain in 2011.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhich models does it produce? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eGemini and its variants, Gemini Omni, Gemini Image (Nano Banana), Gemini Audio, Veo for video, Imagen for images, Lyria for music, Genie 3 for interactive worlds, Gemini Robotics, and the open Gemma family.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhere can I actually try these models? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eOn other Google surfaces rather than on deepmind.google itself: the Gemini app, Google AI Studio, Google Antigravity, Google Flow and Flow Music, and the Gemini Enterprise Agent Platform.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eIs there an API? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes. The Gemini API is documented on ai.google.dev, including model listings, the Live API and embeddings. The site also links developer documentation for running the open Gemma models.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow much does it cost? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThe website publishes no pricing page and no plans. The only figures shown are API token prices in a benchmark table: from 1.50 USD per million input tokens for Gemini 3.6 Flash. Confirm current pricing in the API documentation.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eAre there open models? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eYes, the Gemma family. Gemma 4 is presented as the lab's most intelligent open models, built to maximise intelligence per parameter, and can be run locally.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow can AI-generated content from these models be identified? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThrough SynthID, which embeds imperceptible watermarks in generated images, video, audio and text. The watermarks are designed to survive cropping, filters, frame-rate changes, lossy compression, added noise and speed changes.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWhich privacy policy and terms apply? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eGoogle's general ones: the Terms of Service and the Privacy Policy on policies.google.com, effective 30 July 2026 and 2 April 2026 respectively for the versions collected. There are no DeepMind-specific legal documents.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eWho is the data controller in Europe? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eGoogle Ireland Limited, Gordon House, Barrow Street, Dublin 4, Ireland, for users in the European Economic Area and Switzerland. Google LLC, in Mountain View, California, is the controller for United Kingdom users.\u003c\/div\u003e\u003c\/details\u003e\u003cdetails\u003e\u003csummary\u003eHow do I contact Google DeepMind? \u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cline x1=\"12\" y1=\"5\" x2=\"12\" y2=\"19\"\u003e\u003c\/line\u003e\u003cline x1=\"5\" y1=\"12\" x2=\"19\" y2=\"12\"\u003e\u003c\/line\u003e\u003c\/svg\u003e\u003c\/summary\u003e\u003cdiv class=\"ans justify\"\u003eThe site publishes neither a contact page nor an email address on its domain. The only contact routes found lead to Google's general channels rather than to a DeepMind team.\u003c\/div\u003e\u003c\/details\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003csection class=\"block conclusion\" id=\"conclusion\"\u003e\u003cdiv class=\"head\"\u003e\n\u003cspan class=\"eyebrow\"\u003eConclusion\u003c\/span\u003e\u003ch2\u003eShould you pick Google DeepMind?\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"rich justify\" style=\"max-width:80ch\"\u003e\n\u003cp\u003eGoogle DeepMind's website is the shop window of a research laboratory, not a product you buy. Read with that in mind, it is unusually substantial: a full catalogue of models spanning text, image, video, audio, music, interactive worlds and robotics; an open family, Gemma, sitting beside the proprietary ones; benchmarks published with their methodology and compared against named competitors; model cards; a dedicated evaluations page; and 262 research publications listed in the site's own sitemap. The science strand is the most distinctive part, with AlphaFold cited as serving more than three million researchers, and AlphaGenome, WeatherNext, AlphaEarth and AlphaEvolve extending the same approach to genomics, weather, planetary mapping and algorithm design. Safety governance is named rather than gestured at, from the AI Principles to the Frontier Safety Framework, and SynthID gives generated content a provenance signal across all four modalities.\u003c\/p\u003e\n\u003cp\u003eThe gaps are equally clear and worth stating plainly. There is no pricing page, no plan, no contact page and no email address on the domain. The legal documents that govern use are Google's general terms and privacy policy, whose content and contracting entity change with the reader's region, and none of the pages collected mention a DPA, a subprocessor list or a way to exclude data from model training. Hosting is described only as servers around the world. Nothing here is actually used on deepmind.google either: the models live on the Gemini app, Google AI Studio, the Gemini API, Antigravity and Flow.\u003c\/p\u003e\n\u003cp\u003eTreat the site as the authoritative reference on what these models are and how they were evaluated, then go elsewhere in Google's estate to use them and to find out what they cost.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"cta-row\"\u003e\n\u003ca class=\"btn btn-primary\" href=\"https:\/\/deepmind.google\/\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"16\" height=\"16\"\u003e\u003cpath d=\"M15 3h6v6\"\u003e\u003c\/path\u003e\u003cpath d=\"M10 14 21 3\"\u003e\u003c\/path\u003e\u003cpath d=\"M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6\"\u003e\u003c\/path\u003e\u003c\/svg\u003e Visit Google DeepMind\u003c\/a\u003e\u003ca class=\"btn btn-secondary\" href=\"https:\/\/aistudio.google.com\/prompts\/new_chat\" target=\"_blank\" rel=\"noopener\"\u003e\u003csvg viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"14\" height=\"14\"\u003e\u003cpolygon points=\"6 3 20 12 6 21 6 3\"\u003e\u003c\/polygon\u003e\u003c\/svg\u003e Watch the demo\u003c\/a\u003e\n\u003c\/div\u003e\u003c\/section\u003e\n\u003c\/div\u003e","brand":"Google LLC","offers":[{"title":"Default Title","offer_id":58113105396043,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1038\/0905\/7099\/files\/official-google-deepmind-by-guidaio_385d8dda-483e-4a8d-92b5-bec69725d389.png?v=1786540864","url":"https:\/\/guidaio.com\/products\/google-deepmind","provider":"Guidaio","version":"1.0","type":"link"}