[{"data":1,"prerenderedAt":787},["ShallowReactive",2],{"/en-us/blog/introducing-gitlab-credits":3,"navigation-en-us":38,"banner-en-us":438,"footer-en-us":448,"blog-post-authors-en-us-Manav Khurana":690,"blog-related-posts-en-us-introducing-gitlab-credits":705,"assessment-promotions-en-us":738,"next-steps-en-us":777},{"id":4,"title":5,"authorSlugs":6,"body":8,"categorySlug":9,"config":10,"content":14,"description":8,"extension":26,"isFeatured":11,"meta":27,"navigation":28,"path":29,"publishedDate":20,"seo":30,"stem":34,"tagSlugs":35,"__hash__":37},"blogPosts/en-us/blog/introducing-gitlab-credits.yml","Introducing Gitlab Credits",[7],"manav-khurana",null,"product",{"featured":11,"template":12,"slug":13},false,"BlogPost","introducing-gitlab-credits",{"title":15,"description":16,"authors":17,"heroImage":19,"date":20,"updatedDate":21,"body":22,"category":9,"tags":23},"Introducing GitLab Credits, usage-based pricing for GitLab Duo Agent Platform","Learn how GitLab Credits helps reduce costs and provides flexibility for agentic AI in the enterprise software development lifecycle.\n",[18],"Manav Khurana","https://res.cloudinary.com/about-gitlab-com/image/upload/v1768314648/gvy4pfqjaeahkoagsjmr.png","2026-01-15","2026-02-10","We built GitLab Credits because seat-based pricing for agentic AI was not making sense.\n\nSeat-based pricing creates AI “haves\" and \"have-nots” for engineering teams, a fundamental misalignment with the way that modern agentic AI should be used across the software development lifecycle. Today, you have to buy a seat for every individual before they can start using AI. While this works for the few heavy users, it can be too expensive and unfair for the majority of the team with light or spiky usage. That's why in many organizations, only a portion of the team gets to have an “AI seat.\"\n\nAdd to that, [GitLab Duo Agent Platform](https://about.gitlab.com/blog/gitlab-duo-agent-platform-is-generally-available/) is different from Duo Pro, Duo Enterprise, and other AI developer tools in the market. Agents and agentic workflows can be invoked by your team when they need AI assistance and triggered by SDLC events running in the background. With Duo Agent Platform, agentic AI is no longer only tied to user seats.\n\nGitLab Credits addresses these issues as our new virtual currency for usage-based pricing, starting with GitLab Duo Agent Platform. That means, every member in your organization with a GitLab account (Premium or Ultimate) can now use agentic AI capabilities without you paying for an AI seat, whether invoked by them or set up as background agents.\n\n## How GitLab Credits work\n\nGitLab Credits are pooled across your entire organization. Your GitLab Duo Agent Platform usage is drawn down from GitLab Credits. That includes both synchronous and asynchronous use of agents and agentic flows. This includes:\n\n* [Foundational agents](https://docs.gitlab.com/user/duo_agent_platform/agents/foundational_agents/) such as Security Analyst, Planner, and Data Analyst\n\n* [Foundational flows](https://docs.gitlab.com/user/duo_agent_platform/flows/foundational_flows/) such as Code Review, Developer, and Fix CI/CD Pipeline\n\n* [External agents](https://docs.gitlab.com/user/duo_agent_platform/agents/external/) such as Anthropic Claude Code and OpenAI Codex\n\n* Custom agents and flows you build and publish in your [GitLab AI Catalog](https://docs.gitlab.com/user/duo_agent_platform/ai_catalog/)\n\n* [Agentic Chat](https://docs.gitlab.com/user/gitlab_duo_chat/agentic_chat/) in the GitLab UI and in the IDE used by your developers\n\n**Note:** External agents are available to try at no cost in 18.8 and do not consume GitLab Credits. We will be introducing pricing next month with our 18.9 release. Custom flows are currently in beta and do not consume GitLab Credits.\n\nThe amount of credits drawn down is based on the number of agentic requests by large language models ([more details here](https://docs.gitlab.com/subscriptions/gitlab_credits/#models)). As more LLMs become available, we will certify them for use with GitLab Duo Agent Platform and add to this list, providing customers with a transparent view of how they are consumed.\n\nThe total count of GitLab Credits is calculated at the end of the month based on actual usage. This model also automatically offsets usage from power users against that of lighter users, effectively lowering your total cost of AI for every individual (as compared to paying per seat for every individual).\n\nFor simplicity, each GitLab Credit has an **on-demand** list price of $1. You can use GitLab Duo Agent Platform without any commitments and usage is billed monthly (at the end of each month). For enterprise customers that sign up for **annual commitments**, we offer volume discounts for monthly credits.\n\nAs a limited-time promotion[*](#notes), all GitLab customers that have active Premium and Ultimate subscriptions will automatically receive $12 and $24 in **included credits per user**, respectively. These credits will refresh every month until the end of the promotion period and give your team access to all GitLab Duo Agent Platform features at no extra cost. When you accept our billing terms, any usage above these included credits will be billed through committed monthly credits or on-demand credits.\n\n## Cost governance with GitLab Credits\n\n**Sizing GitLab Credits:** Your account team has a sizing calculator as part of the GA of GitLab Duo Agent Platform to estimate the number of GitLab Credits you’ll need every month. This calculator was built with usage patterns we’ve observed during the beta period. In addition, as an existing or a new customer, you can request a free trial to confirm your estimated actual usage.\n\n**Usage visibility:** With the 18.8 release, you have detailed usage information through two complementary dashboards — one in the GitLab Customers Portal for billing managers focused on financial oversight, and one in-product for administrators focused on operational monitoring. Both provide attribution of usage, cost breakdowns, and historical trends so you always know exactly how your credits are being consumed. If you follow a cross-charging practice internally, you’ll be able to use project- and group-level rollups for cost allocations.\n\n**Usage controls:** You can enable or disable GitLab Duo Agent Platform access for specific teams or projects, ensuring only approved usage can tally up to your credits. We also plan to add user-level controls shortly after GA to help you manage who can use GitLab Duo Agent Platform capabilities and draw-down credits.\n\n**Automated usage notifications:** We’ll proactively keep you informed about your GitLab Credit usage via email alerts when you reach 50%, 80%, and 100% of your committed monthly credits, giving you time to adjust usage, purchase additional commitments, or plan for on-demand billing.\n\n## Upgrading from seat-based GitLab Duo Pro/Enterprise to GitLab Credits for Duo Agent Platform\n\nIf you’ve purchased and are using GitLab Duo Pro and Duo Enterprise, you can keep using those capabilities as supported options. You can upgrade to GitLab Duo Agent Platform at any time and do what you can with “classic” Duo and access new capabilities such as agentic chat, additional foundational agents, custom agents and flows, external agents, and more.\n\nAt the time of upgrade, we will roll forward your investment in seats for GitLab Duo Pro and Duo Enterprise to GitLab Credits for Duo Agent Platform. The remaining dollar amount of seat commitments will be exchanged for monthly GitLab Credits with volume-based discounts. The monthly GitLab Credits can then be shared across every team member in your organization you allow, not just the users who had assigned Duo seats before.\n\n## Competitive comparison: GitLab Credits vs. seat-based pricing\n\n| Benefit | GitLab Credits | Seat-based pricing |\n| ----- | ----- | ----- |\n| **AI for everyone** | Every approved team member gets AI access from day one | Creates AI \"haves\" and \"have-nots\" — forces seat rationing |\n| **No upfront Investment**  | Start small with included credits, increase commitment as ROI becomes clear | Must purchase seats upfront before proving value |\n| **Pay for what you use** | Only the AI work actually performed above included tier is billed | Pay per seat regardless of actual usage |\n| **Optimized spend** | Shared credit pool allows you to offset power users with light users | Must pay for light users, overages for premium requests from power users |\n| **Detailed visibility** | Usage dashboards with detailed attribution and historical trends | Limited insight into which users drive value |\n| **Granular cost controls** | Choose who can access, proactive alerts, and upcoming budget controls to limit | Limit who gets a seat to control costs |\n| **Sizing flexibility**  | Calculator to estimate monthly credits, with more unit discounts with volume | Count who gets a seat multiplied by price per seat |\n| **Simplified contracts and billing** | Single SKU and bill covers all agentic capabilities across the DevSecOps lifecycle | Multiple AI licenses required across different third-party tools |\n\n## Getting started\nNew customers to GitLab can try Duo Agent Platform right away for free with a [GitLab Ultimate trial](https://about.gitlab.com/free-trial/devsecops/).\n\nOrganizations with active GitLab subscriptions can start using Duo Agent Platform right away with their included credits. [Reach out to sales](https://about.gitlab.com/sales/) to explore additional options to try Duo Agent Platform capabilities.\n\n1. **For existing Premium/Ultimate customers**: GitLab Duo Agent Platform is already available for customers with active Premium and Ultimate licenses[**](#notes) via included credits. GitLab Self-Managed customers will gain access when they upgrade to the GitLab 18.8 release. GitLab Dedicated customers will be upgraded to GitLab 18.8 during their scheduled maintenance window in February and will be able to use Duo Agent Platform from that point.\n2. **Enable GitLab Duo**: Ensure GitLab Duo Agent Platform is enabled in your namespace settings.\n\n3. **Start exploring**: Use your included monthly GitLab Credits to try GitLab Duo Agent Platform capabilities.\n\n4. **Go beyond included credits:** You may opt in to GitLab Credits for expanded usage beyond included credits at the on-demand list price. For volume discounts with commitment, please [contact us](https://about.gitlab.com/sales/) to get a quote for your specific usage level.\n\nVisit our [GitLab Duo Agent Platform documentation](https://docs.gitlab.com/user/duo_agent_platform/) to learn more about getting started.\n\n## Notes\n\n\\* These included promotional credits are available for a limited time at GA, and subject to change at GitLab’s discretion.\n\n** Excludes GitLab Duo with Amazon Q and GitLab Dedicated for Government customers.\n\n> To learn more about GitLab Duo Agent Platform and all the ways agentic AI can transform how your team works, [visit our GitLab Duo Agent Platform page](https://about.gitlab.com/gitlab-duo-agent-platform/). If you are an existing GitLab customer, reach out to your GitLab account manager or partner to schedule a live demonstration of our platform capabilities.\n\n## GitLab Credits FAQ\n\n**1\\. What are GitLab Credits and why did GitLab introduce them?**\n\nGitLab Credits is a new virtual currency for usage-based GitLab capabilities, starting with GitLab Duo Agent Platform. GitLab introduced this model because seat-based pricing was forcing organizations to ration AI access within engineering teams, and Duo Agent Platform usage is not just tied to seats. Credits are pooled across your entire organization, allowing you to give every team member access to AI capabilities, or set up background agentic workflows, without requiring individual seat purchases upfront.\n\n**2\\. How does credit consumption work?**\n\nCredits are drawn down based on the number of agentic requests made, with different rates depending on which LLM is used. For example, you get two model requests per credit for Claude-sonnet-4.5 (the default for most features), and 20 requests per credit for models like gpt-5-mini or claude-3-haiku.\n\n**3\\. What's included for existing Premium and Ultimate customers?**\n\nAs a limited-time promotion, customers with active Premium and Ultimate subscriptions automatically receive included credits free of charge alongside the GA release of Duo Agent Platform in GitLab 18.8:\n\n* $12 in credits per user per month for Premium\n* $24 in credits per user per month for Ultimate\n\nIncluded credits are at a per-user level, refresh monthly, and enable access to all GitLab Duo Agent Platform features at no extra cost. Usage above these included credits will be billed separately. These included promotional credits are available for a limited time after GA, and subject to change at GitLab’s discretion.\n\n**4\\. How can I control and monitor credit usage?**\n\nGitLab provides multiple governance tools: detailed usage dashboards in both the Customers Portal and in-product, the ability to enable/disable access for specific teams or projects, upcoming user-level controls, and automated email alerts at 50%, 80%, and 100% of committed monthly credits. We also expect to offer a sizing calculator to estimate your monthly credit needs.\n\n**5\\. How do I get started with GitLab Duo Agent Platform?**\n\nFor existing Premium/Ultimate customers, access is automatic on GitLab.com SaaS. Self-Managed customers gain access when upgrading to GitLab 18.8. Simply enable GitLab Duo Agent Platform in your namespace settings and start exploring using your included monthly credits. For usage beyond included credits, you can opt-in to on-demand billing or contact GitLab for volume discounts with annual commitments.\n\n**6\\. How can I try GitLab Duo Agent Platform if I don't already have a Premium or Ultimate subscription?**\n\nNew customers to GitLab can try GitLab Duo Agent Platform by starting a [GitLab Ultimate trial](https://about.gitlab.com/free-trial/devsecops/).\nOrganizations with active GitLab subscriptions can start using Duo Agent Platform right away with their included credits. [Reach out to sales](https://about.gitlab.com/sales/) to explore additional options to try Duo Agent Platform capabilities.\n\n*This blog post contains \"forward-looking statements\" within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934\\. Although we believe that the expectations reflected in these statements are reasonable, they are subject to known and unknown risks, uncertainties, assumptions and other factors that may cause actual results or outcomes to differ materially. Further information on these risks and other factors is included under the caption \"Risk Factors\" in our filings with the SEC. 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without adding another third-party tool. One surfaces job-level performance data right where you monitor pipelines. The other simplifies how you pull container images from multiple registries with built-in caching.\n\nBoth features are open for feedback now. Your input will help shape what ships next.\n\n## CI/CD Job Performance Metrics\n\n* **Available tiers:** GitLab Premium, GitLab Ultimate\n* **Status:** Limited-availability beta on GitLab.com; available on GitLab Self-Managed and GitLab Dedicated when ClickHouse is configured\n\nToday, there’s no simple way to see when a particular job’s duration starts increasing or which jobs are quietly dragging down your pipeline runtimes. Most teams either build custom dashboards or manually dig through logs to answer basic questions like:\n\n* Which jobs are slowest?  \n* Where are failure rates climbing?  \n* Which stage is the real bottleneck?\n\nCI/CD Job Performance Metrics changes that by adding a new job-focused panel to the CI/CD analytics page at the project level.\n\nFor each job in your pipelines, you can see:\n\n* Typical (P50, median) and worst‑case (P95) job duration, so you can quickly view normal versus slowest runs  \n* Failure rate, so you can spot fragile or flaky jobs  \n* Job name and stage, covering the last 30 days by default\n\nThe table is sortable, searchable by job name, and paginated, so platform teams get a single view to answer questions that previously required separate tools or custom reporting.\n\n**Try it now**\n\n* Navigate to your project and select **Analyze \\> CI/CD analytics**.  \n* Look for the CI/CD job performance metrics panel and sort by duration or failure rate to find your slowest or least reliable jobs.\n\n**Documentation**\n\n* [CI/CD analytics – CI/CD job performance metrics](https://docs.gitlab.com/user/analytics/ci_cd_analytics/#cicd-job-performance-metrics)\n\n**What’s coming next**\n\nWe’re working on stage-level grouping, so you can view aggregated metrics across your build, test, and deploy stages, and quickly understand where to focus optimization work.\n\n**Share your feedback:**\n\n* [CI/CD job performance metrics epic](https://gitlab.com/groups/gitlab-org/-/work_items/18548)\n\n## Container Virtual Registry\n\n**Tier:** GitLab Premium, GitLab Ultimate\n**Status:** Beta, API-ready in 18.9\n\nMost organizations pulling container images into CI/CD pipelines rely on multiple registries: Docker Hub, Harbor, Quay, and internal registries, to name a few. Managing authentication, availability, and caching across all of them is operational overhead that slows pipelines down and introduces fragility.\n\nThe Container Virtual Registry lets you create a single GitLab endpoint that pulls from multiple upstream container sources with built-in caching.\n\nInstead of configuring credentials and availability for each registry individually in your pipeline configuration, you can:\n\n* Point your pipelines at one GitLab virtual registry endpoint  \n* Configure multiple upstream registries (Docker Hub, Harbor, Quay, and others using long-lived token authentication)  \n* Let GitLab resolve image pulls automatically, with pull-through caching to reduce bandwidth costs and improve reliability\n\nFor teams evaluating GitLab as a container registry replacement, this closes a critical capability gap. For teams already managing multi-registry container workflows, it centralizes image management into GitLab and cuts down on repeated pulls.\n\n**What the beta supports today**\n\n* Upstream registries using long-lived token authentication: Docker Hub, Harbor, Quay, and other compatible registries  \n* Pull-through caching so commonly used images are served from GitLab after the first pull  \n* API-first configuration, with UI management in progress++\n\nCloud provider registries requiring IAM authentication (such as Amazon Elastic Container Registry, Google Artifact Registry, and Azure Container Registry) are being considered for future iterations.\n\n**Test it today**\n\n* The Container Virtual Registry is API-ready in 18.9.  \n* SaaS (GitLab.com): Request access through your CSM or by commenting on the feedback issue below to have the feature flag enabled for your group.  \n* Self-managed: Enable the feature flag and configure the virtual registry using the API.\n\n**Documentation**\n\n* [Container Virtual Registry API](https://docs.gitlab.com/api/container_virtual_registries/)  \n* [Pull container images from the virtual registry](https://docs.gitlab.com/user/packages/virtual_registry/container/#pull-container-images-from-the-virtual-registry)\n\n\n Watch this walkthrough of the Container Virtual Registry Beta:\n   \n\n  \u003Ciframe src=\"https://player.vimeo.com/video/1167512082?title=0&byline=0&portrait=0&badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" allow=\"autoplay; fullscreen; picture-in-picture; clipboard-write; encrypted-media; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" style=\"position:absolute;top:0;left:0;width:100%;height:100%;\" title=\"20260223_Container Virtual Registry Beta_V1\">\u003C/iframe>\u003C\u003Cscript src=\"https://player.vimeo.com/api/player.js\">\u003C/script>\n\n  \u003Cbr>\u003C/br>\n\n\n\n**Share your feedback:**\n\n* [Container virtual registry feedback issue](https://gitlab.com/gitlab-org/gitlab/-/issues/589630)\n\n## Help us build what matters\n\nEveryone in the GitLab community is a contributor. We built these betas based on community requests.\n\n* **CI/CD Job Performance Metrics** came from teams who had no easy way to see when build times started trending in the wrong direction, or which jobs were hurting pipeline reliability.  \n* **Container Virtual Registry** came from enterprise customers managing multiple registries and looking to reduce tool sprawl and bandwidth costs while evaluating GitLab as a central registry.\n\nYour feedback shapes what we create next. Try one or both of these betas, and share your experience in the linked feedback issues.\n\nThis is the first in a series of Core DevOps betas we plan to highlight. 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