Enable your software teams to orchestrate their AI agents across the entire SDLC with GitLab Credits, the consumption currency for GitLab Duo Agent Platform.
GitLab Credits enable flexible, consumption-based access to agentic AI capabilities in the GitLab platform, allowing you to scale AI adoption at your own pace while maintaining cost predictability. Powered by Duo Agent Platform, GitLab agentic AI capabilities help software teams to collaborate at AI speed, without compromising quality and enterprise security.
GitLab Credits provide a unified consumption currency designed for teams at every stage of AI adoption, giving every software team immediate access to agentic AI to accelerate their workflows across many epics, projects, and releases. If usage exceeds monthly allocations and overage terms are accepted, automated on-demand billing activates without service interruption, so your developers never lose access to AI capabilities they need.
Real-time dashboards provide transparency into AI consumption patterns. Software teams can see usage across users, projects, and groups with granular attribution for cost allocation. Automated threshold alerts facilitate proactive planning. Advanced analytics deliver trending, forecasting, and FinOps integration.
GitLab Credits operate on SOX compliant infrastructure with comprehensive audit trails, automated integration for compliant reporting, and multi-instance support aggregates usage across SaaS, Self-Managed, and Dedicated deployments.
Reduce unnecessary costs and stay focused on outcomes by only paying for the work agentic AI actually performs. Accelerate software delivery and remove bottlenecks by eliminating seat-based restrictions and expanding AI capabilities across your entire organization within your own guardrails, on your own policy terms and your unique timeline.
Maintain control of AI spending, preventing surprise costs while ensuring the flexibility to scale with pre-commit credits and granular usage controls. Take advantage of real-time dashboards to gain transparency with per-user and per-project attribution. Automated alerts prevent budget overruns, while advanced analytics support consumption forecasting and FinOps integration.
Optimize AI investment with data-driven decisions. Understand exactly which teams and workflows drive value with user-level dashboards including cost details and allocation controls. SOX-compliant infrastructure ensures billing accuracy with comprehensive audit trails and daily reconciliation. Multi-instance support aggregates usage across SaaS, Self-Managed, and Dedicated deployments for complex enterprise scenarios.
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AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing sells GitLab Credits, the universal currency for usage-based products like the GitLab Duo Agent Platform. Both dimensions are priced per credit. The first dimension covers GitLab Credits you commit to upfront as a shared pool for your organization to draw from. The second dimension covers monthly overage and upfront payments, billing for credits consumed beyond your committed amount. Credits fund agentic AI features, and different AI models draw down credits at different rates. This gives you a way to pay for usage rather than assigning fixed seats.
Top-of-mind questions for buyers
What counts as one GitLab Credit, and does the amount consumed vary by task?
A GitLab Credit is the universal currency for usage-based products like the GitLab Duo Agent Platform. Different AI models draw down credits at different rates based on their capabilities and underlying costs. So a single action may consume more or fewer credits depending on the model powering it.
What happens to my cost if I use more credits than I committed to upfront?
When you exhaust your committed credit pool, extra usage is billed as on-demand overage at the standard per-credit rate. You are billed at the end of each month for the overage consumed. Once you enable on-demand billing, it stays enabled for the rest of your subscription term.
How do the two credit dimensions combine on my bill?
The upfront committed pool and the monthly overage bill independently. You first draw from your committed pool, which refreshes monthly. Once that pool is used up, consumption beyond it is charged as overage. Both can appear on the same invoice when usage exceeds your committed amount.
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One annual commitment covering all GitLab capabilities on AWS. Reshape your mix of seats and AI usage month to month with no contract amendments, no re-procurement.
GitLab is the most comprehensive AI-powered DevSecOps platform. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. GitLab will deliver the activation code after the transaction is completed.
GitLab is the DevOps platform. The first single application for software development, security, and operations that enables Concurrent DevOps, making the software lifecycle 200% faster and radically improving the speed of business. GitLab will deliver the license file after transaction is completed.
The UI is a bit mundane and may be confusing at times, but it is a great all-in-one DevOps platform.
Reviewed on Nov 06, 2026
Review provided by G2
What do you like best about the product?
A big part of what I love about GitLab is the fact that our entire software delivery lifecycle is in one place. This would free us to consume only a single subscription and integration to source code management, issue tracking, and CI/CD pipelines which are all integrated into one. Thanks to our ditty structure around the .gitlab-ci.yml file, it's a breeze to set up your own build workflows, test workflows and deployment workflows—and then version-control it together with our code. Built in container registry and merge request approval rules also simplify the standards of code quality and securing our dev team while maintaining them.
What do you dislike about the product?
GitLab's major limitation is the relatively complicated user interface. It attempts to be all things to all people, making for any kind of an overcrowding of the UI, and a location of individual choices, for example, runner configuration or environment distinctions, might take multiple clicking through menus. Another downside is that the web-based code review interface sometimes becomes slow and laggy when opening large MRs (megalarge requests) that usually have hundreds of files changed and a few large files. The same goes for reviewing code at line-by-line level as opening large MRs is a bit of a hassle when using a web-based code review interface, while using a dedicated lightweight code review interface is much smoother.
What problems is the product solving and how is that benefiting you?
Prior to GitLab, we were using a variety of tools to host our repositories, create tickets and manage our CI/CD with the various integration failures, triggering broken pipelines and causing us to repeatedly jump between tools. This was resolved by GitLab by providing consolidated repository for all the projects. For instance, we recently had to create a 'hotfix' for a critical bug in the production environment and we were able to track this bug with GitLab, develop a new feature branch for the change, run the automated test suite, and push the new fix directly to the production environment – all without breaking any of the merge request threads.
Computer Software
GitLab’s YAML Deployment Pipelines Make Versioned, Tagged Rollbacks Easy
Reviewed on Oct 30, 2026
Review provided by G2
What do you like best about the product?
GitLab’s YAML-configured CI/CD deployment pipelines are arguably its best feature. When we pair them with strict version control and tagged releases, we always have a clean, reliable rollback path if something goes wrong.
What do you dislike about the product?
One minor drawback is that resolving complex merge conflicts or performing heavier rebases sometimes still needs to be done locally via the CLI, since the web UI can’t always handle more intricate baseline changes.
What problems is the product solving and how is that benefiting you?
GitLab as a Powerful Central Hub for Repos, Reviews, and Automation
Reviewed on Oct 07, 2026
Review provided by G2
What do you like best about the product?
Gitlab is used extensively as the central hub of our team based workflow that handles repositories, branches, pull requests, and code reviews. Feature branches are used to control the scope of development work, and pull requests are used for reviewing, communicating, and ultimately merging changes. With Gitlab Actions, we automate testing and deployment tasks, and issues are used as a common repository of development and bug tracking.
What do you dislike about the product?
The interface can feel a bit cluttered when we have lots of repos, branches, pull requests, and notifications going on simultaneously. Creating more complex GitLab Actions workflows may require a bit of technical experience for advanced CI/CD workflows. Some admin and security features require upgrading to higher-tier plans and can be costly as our team grows.
What problems is the product solving and how is that benefiting you?
GitLab is a single source control, code review, issue tracking, and CI/CD automation platform. It helps us team members to align during the development process, avoiding time spent around transferring files and wasting time arguing about edits on a code file. Pull requests and automated testing lead to more stable releases, and Actions means less time spent on runs and deployments, and more knowledge of what's happening in the process.
Kimberly M.
Interfase Makes Project Management and Commit Tracking Simple
Reviewed on Aug 24, 2026
Review provided by G2
What do you like best about the product?
Interfase is pretty solid. Managing projects feels really simple, and tracking commits and their history is just as straightforward.
What do you dislike about the product?
Some of the more advanced settings for enabling PAT (or something similar) can feel a bit complex, but the documentation clearly explains what to do and helps bridge that gap.
What problems is the product solving and how is that benefiting you?
Managing projects, tracking history, and have control all over the information we sahre.
Manish R.
Reliable CI/CD and Code Collaboration in One Platform
Reviewed on Aug 14, 2026
Review provided by G2
What do you like best about the product?
GitLab is most helpful because it brings source code, issue tracking, merge requests, and CI/CD into one place. I like that the workflow is fairly organized, so it’s easy to track changes and see what needs attention without switching between several tools. The integrations are useful when connecting GitLab with other development tools, and the CI/CD features are a strong advantage for automating builds and deployments. The interface is generally clear, although some advanced settings can take time to get familiar with. Overall, it offers good value for teams that actually use its broader DevSecOps capabilities.
What do you dislike about the product?
The main downside is that GitLab can feel a little overwhelming when you first start using it, especially with the number of settings and DevOps features available. Some parts of the UI could be more intuitive, and finding specific configuration options can take a bit of time. The platform is powerful, but smaller teams may not use enough of the features to fully justify the cost of higher-tier plans. The integrations are useful, although setting up some of them can require extra configuration. AI features are helpful in certain workflows, but I wouldn’t consider them the main reason to choose GitLab.
What problems is the product solving and how is that benefiting you?
GitLab helps solve the problem of having development work spread across different tools. Keeping code, merge requests, issue tracking, and CI/CD in one platform makes it easier to follow work from development through deployment. It also reduces some manual steps through automation, which helps keep the workflow consistent. Performance has generally been reliable for day-to-day development, and the documentation and built-in guidance are useful when setting things up, although more complex workflows can still require some time to learn.