{"id":1055,"date":"2026-09-22T22:09:36","date_gmt":"2026-09-22T22:09:36","guid":{"rendered":"https:\/\/www.gosearch.ai\/faqs\/?p=1055"},"modified":"2026-09-22T22:09:37","modified_gmt":"2026-09-22T22:09:37","slug":"onyx-ai-pricing-the-real-open-source-tco-in-2026","status":"publish","type":"post","link":"https:\/\/www.gosearch.ai\/faqs\/onyx-ai-pricing-the-real-open-source-tco-in-2026\/","title":{"rendered":"Onyx AI Pricing: The Real Open-Source TCO in 2026"},"content":{"rendered":"\n<p><strong>Quick answer:<\/strong> Onyx AI&#8217;s software is free under its MIT-licensed Community Edition. Its managed Onyx Cloud plan is <strong>$20 per user per month billed annually<\/strong> (<strong>$25 month-to-month<\/strong>). Pricing for the Enterprise Edition is custom. But the license price only covers the software. Self-hosting the free Community Edition still means paying for GPU or cloud infrastructure, DevOps or MLOps engineering time, and ongoing maintenance. None of these show up on Onyx&#8217;s pricing page. By <a href=\"https:\/\/onyx.app\/insights\/self-hosted-llm-teams\" target=\"_blank\" rel=\"noreferrer noopener\">Onyx&#8217;s estimate<\/a>, building a comparable stack yourself takes <strong>2 to 4 months of engineering time<\/strong> for initial setup alone, plus infrastructure that ranges from <strong>$3,000 to $5,000<\/strong> for a small team to <strong>$120,000 or more<\/strong> for a large one. That gap between license cost and total cost of ownership (TCO) is the real number to plan around. It&#8217;s the gap a fully managed platform like <a href=\"https:\/\/www.gosearch.ai\/landing\" target=\"_blank\" rel=\"noreferrer noopener\">GoSearch<\/a> is built to close.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Onyx AI&#8217;s Published Pricing<\/h2>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">How much does Onyx AI cost?<\/h3>\n\n\n\n<p>Onyx AI has three tiers. Onyx\u00a0offers\u00a0the\u00a0<strong>Community\u00a0Edition<\/strong> for free\u00a0under\u00a0an\u00a0MIT\u00a0license.\u00a0It\u00a0supports\u00a0unlimited users and\u00a0includes\u00a0core\u00a0chat,\u00a0RAG,\u00a0agent, and\u00a0connector\u00a0features.\u00a0You must\u00a0host\u00a0the\u00a0software\u00a0yourself, according\u00a0to\u00a0<a href=\"https:\/\/github.com\/onyx-dot-app\/onyx\" target=\"_blank\" rel=\"noreferrer noopener\">Onyx&#8217;s GitHub repository<\/a>. <a href=\"https:\/\/onyx.app\/pricing\" target=\"_blank\" rel=\"noreferrer noopener\">Onyx&#8217;s pricing page<\/a> lists <strong>Cloud<\/strong>, its managed hosting option, at <strong>$20 per user per month with annual billing or $25 month-to-month.<\/strong> There&#8217;s no seat minimum and no mandatory support fee on this tier. Onyx quotes <strong>Enterprise Edition<\/strong> individually. The plan adds SAML SSO, on-premises and region-specific deployment, white-labeling, custom integrations, invoice billing, volume discounts, and dedicated SLA-backed support.<br>Third-party pricing aggregators (Capterra, SaaSworthy, Software Finder) list older figures like $16\/seat\/month. Onyx&#8217;s current published rate <strong>as of September 2026 is $20 (annual) \/ $25 (monthly).<\/strong><\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">What&#8217;s the difference between Onyx Cloud and the Community Edition?<\/h3>\n\n\n\n<p>Functionally, not much. Both include the same chat interface, agents, RAG pipeline, and 40+ connectors. The difference is who runs the infrastructure. Community Edition is self-hosted. You deploy it on your own Docker or Kubernetes environment and manage uptime, upgrades, and scaling yourself. Onyx hosts the same software through Onyx Cloud, so you pay a per-seat fee instead of managing the infrastructure yourself. Enterprise-only features (SSO, RBAC at scale, white-labeling, dedicated support) aren&#8217;t included in either the free Community Edition or the standard Cloud Business plan. They require the <a href=\"https:\/\/github.com\/onyx-dot-app\/onyx\" target=\"_blank\" rel=\"noreferrer noopener\">separate Enterprise license.<\/a><\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">What does Onyx Enterprise Edition actually cost?<\/h3>\n\n\n\n<p>Onyx doesn&#8217;t publish an Enterprise price; it&#8217;s quote-based. One data point comes from Onyx&#8217;s <a href=\"https:\/\/aws.amazon.com\/marketplace\/pp\/prodview-yz6q33iyvgf5e\" target=\"_blank\" rel=\"noreferrer noopener\">AWS Marketplace listing<\/a> for Enterprise Edition. The listing says Onyx bills customers for <strong>two factors on the same invoice<\/strong>: user count and the number of separate Onyx instances. That means an organization running three regional instances pays for all three on top of its user count, a detail that&#8217;s easy to miss when budgeting off the $20\/seat headline.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">The Real Cost of &#8220;Free&#8221;: Self-Hosting Onyx&#8217;s Community Edition<\/h2>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Is Onyx AI&#8217;s Community Edition really free?<\/h3>\n\n\n\n<p>The software license costs nothing. Your team still pays to run the system in production. Onyx&#8217;s <a href=\"https:\/\/onyx.app\/insights\/self-hosted-llm-teams\" target=\"_blank\" rel=\"noreferrer noopener\">self-hosted LLM guide<\/a> is candid about this. Teams that assemble a full self-hosted stack should expect<strong> 2 to 4 months of engineering work for the initial setup, plus ongoing maintenance.<\/strong> Onyx&#8217;s documentation states plainly that <a href=\"https:\/\/docs.onyx.app\/security\/self_hosted\/faq\" target=\"_blank\" rel=\"noreferrer noopener\">self-hosting &#8220;requires more operational overhead compared to the Cloud offering.&#8221;<\/a> Onyx generally recommends Cloud unless compliance or data-sovereignty requirements call for self-hosting.<\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">How much does self-hosting Onyx cost in infrastructure alone?<\/h3>\n\n\n\n<p>Onyx publishes its own <a href=\"https:\/\/onyx.app\/insights\/self-hosted-llm-teams\" target=\"_blank\" rel=\"noreferrer noopener\">GPU cost estimates<\/a> for teams that want to run models locally rather than through cloud APIs:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Small team (5\u201320 users):<\/strong> a single high-end GPU or Mac Studio, roughly <strong>$3,000\u2013$5,000 one-time<\/strong><\/li>\n\n\n\n<li><strong>Mid-size team (20\u2013200 users):<\/strong> an H100-class server or multi-GPU setup, roughly <strong>$25,000\u2013$35,000 one-time<\/strong><\/li>\n\n\n\n<li><strong>Large team (200\u20131,000+ users):<\/strong> multi-GPU clusters or reserved cloud GPU capacity, <strong>$120,000\u2013$500,000 one-time, or $8,000\u2013$20,000 per month on cloud GPU instances<\/strong><\/li>\n<\/ul>\n\n\n\n<p>These estimates cover model-serving hardware only. They exclude the vector database, authentication layer, monitoring, and the engineering time to wire it all together, each of which is a separate line item in a DIY stack.<\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">How much engineering time does self-hosting Onyx require?<\/h3>\n\n\n\n<p>Teams that build around Onyx&#8217;s open-source core typically add an inference engine, vector database, custom data connectors, and a separate identity provider. According to <a href=\"https:\/\/docs.onyx.app\/security\/self_hosted\/faq\" target=\"_blank\" rel=\"noreferrer noopener\">Onyx&#8217;s comparison of the DIY approach versus its integrated platform<\/a>, this &#8220;works well for indie hackers and small teams that want customization&#8221; but &#8220;doesn&#8217;t work well for organizations that want to deploy AI for end users quickly, or for teams without dedicated DevOps\/MLOps resources.&#8221; Upgrading one component in a self-assembled stack can also break another. That risk creates ongoing maintenance costs rather than a one-time setup expense.<\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">When does self-hosting break even against paying for a managed plan?<\/h3>\n\n\n\n<p>For a mid-size deployment, Onyx cites a <strong>6-to-12-month break-even<\/strong> for self-hosted GPU inference versus cloud API costs, assuming moderate usage. That math is specifically about model inference costs, not the platform itself. It doesn&#8217;t include the engineering time to build and maintain the surrounding RAG and connector stack, which is the part most teams underestimate going in.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Onyx AI Pricing vs. GoSearch<\/h2>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Is GoSearch a lower-TCO alternative to self-hosting Onyx?<\/h3>\n\n\n\n<p>For teams that want grounded <a href=\"https:\/\/www.gosearch.ai\/product\/enterprise-search\" target=\"_blank\" rel=\"noreferrer noopener\">AI search<\/a> across company data without taking on the self-hosting work, GoSearch removes the infrastructure and engineering line items from the calculation entirely. There&#8217;s no GPU procurement, no DevOps hire, and no 2-to-4-month build-out. GoSearch runs on a hybrid, real-time federated architecture, so queries pull live data from connected systems instead of requiring a team to stand up, secure, and maintain a separate vector database and indexing pipeline. The ongoing work of maintaining and updating a DIY RAG stack accounts for a meaningful share of Onyx&#8217;s self-hosted cost.<\/p>\n\n\n\n<p>GoSearch <a href=\"https:\/\/www.gosearch.ai\/product\/pricing\" target=\"_blank\" rel=\"noreferrer noopener\">prices per seat<\/a> with published, flat pricing rather than a quote-only Enterprise tier. The number on the pricing page is closer to the number on the invoice. The trade-off is one Onyx is upfront about in its own documentation. Self-hosting buys maximum infrastructure control, which some organizations genuinely need. Teams choosing based on total cost, time-to-value, and not wanting to own the operational overhead of a self-hosted AI stack are the ones GoSearch is built for. For a more in-depth breakdown, see a comparison of <a href=\"https:\/\/www.gosearch.ai\/alternatives\/\" target=\"_blank\" rel=\"noreferrer noopener\">GoSearch vs. Onyx.<\/a>\u00a0<\/p>\n\n\n\n<div style=\"height:25px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading\">How does Onyx AI&#8217;s pricing compare to Glean?<\/h3>\n\n\n\n<p>Onyx doesn&#8217;t only compare itself to fully managed platforms. It also markets against <a href=\"https:\/\/www.gosearch.ai\/blog\/glean-pricing-explained\/\" target=\"_blank\" rel=\"noreferrer noopener\">Glean<\/a>, another indexed enterprise search platform. In <a href=\"https:\/\/onyx.app\/glean-cost-calculator\" target=\"_blank\" rel=\"noreferrer noopener\">Onyx&#8217;s published cost breakdown<\/a>, a 250-seat deployment of Onyx Cloud runs about <strong>$60,000 a year ($180,000 over three years)<\/strong>, versus an estimated <strong>$182,000\u2013$220,000 a year for Glean ($601,000 over three years)<\/strong> based on publicly reported Glean rates ($45\u2013$65\/user\/month base, plus a ~10% support fee and reported $50,000\u2013$60,000 contract minimums). At 500 seats, Onyx separately estimates <strong>savings of roughly $600,000 over three years<\/strong> versus Glean. Onyx built these estimates from public reports rather than confirmed Glean quotes, so treat them as directional. It&#8217;s a useful data point on how Onyx frames its own value, but it&#8217;s a comparison between two indexed, self-hosting-capable platforms, not a comparison against a fully managed alternative like GoSearch.<\/p>\n\n\n\n<div style=\"height:50px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><\/h2>\n\n\n\n<h2 class=\"wp-block-heading\">Key Takeaways<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Onyx Community Edition is <strong>free and MIT-licensed<\/strong>, but &#8220;free&#8221; refers to the software license, not total cost of ownership.<\/li>\n\n\n\n<li>Onyx Cloud costs <strong>$20\/user\/month annual ($25 monthly)<\/strong> with no seat minimum; Enterprise Edition is custom-quoted and bills on <strong>both user count and instance count<\/strong>.<\/li>\n\n\n\n<li>Self-hosting realistically costs <strong>2\u20134 months of engineering time<\/strong> plus <strong>$3,000 to $500,000+<\/strong> in infrastructure depending on team size, per Onyx&#8217;s own published guidance.<\/li>\n\n\n\n<li>Self-hosted inference typically breaks even against cloud APIs in <strong>6\u201312 months<\/strong>, but that timeline covers model costs only, not the surrounding RAG and connector engineering.<\/li>\n\n\n\n<li>A fully managed platform like <strong>GoSearch<\/strong> removes the infrastructure and engineering line items from the TCO calculation entirely, trading self-hosting control for published, flat per-seat pricing and no build-out time.<\/li>\n\n\n\n<li>Onyx currently has no published third-party reviews on G2 or Capterra to independently verify satisfaction or hidden costs at scale.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Onyx AI pricing explained: free self-hosting, $20\/user\/month Cloud, enterprise costs, and the true total cost of ownership.<\/p>\n","protected":false},"author":23,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1055","post","type-post","status-publish","format-standard","hentry","category-enterprise-search-software"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - 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