Sold by: GitLab
Deployed on AWS
Enable your software teams to orchestrate their AI agents across the entire SDLC with GitLab Credits, the consumption currency for GitLab Duo Agent Platform.
4.5
Overview
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.
Detailed instructions for installation of GitLab can be found at https://about.gitlab.com/install/
Instructions on enabling Duo Agent Platform, as well as details about customer eligibility, can be found at https://docs.gitlab.com/user/duo_agent_platform/
Highlights
- 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.
Details
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Features and programs
Financing for AWS Marketplace purchases
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
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.
Dimension | Description | Cost/month |
|---|---|---|
Gitlab Credits | Gitlab Credits Monthly Overage and Upfront Payments | $1,000.00 |
Dimension | Cost/unit |
|---|---|
GitLab Credits | $0.01 |
Vendor refund policy
All sales are final. Fees are non-refundable.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Priority Support is included with all self-managed GitLab Premium and Ultimate licenses
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
Computer Software
Fast, Cost-Competitive Gitlab That Integrates Seamlessly with Our Products
Reviewed on Apr 17, 2026
Review provided by G2
What do you like best about the product?
Gitlab manages our code base and integrates with our internal products. The product is fast and the cost is competitive.
What do you dislike about the product?
The AI isn't as useful as competing products like Anthropic.
What problems is the product solving and how is that benefiting you?
Code Base management
Marketing and Advertising
Self-Hosted Control with Easy CI/CD Automation
Reviewed on Apr 16, 2026
Review provided by G2
What do you like best about the product?
The ability to self-host is a big plus. Although it lacks some features, it still provides cost savings and gives us additional control.
CI/CD pipelines and other automations are simple to set up and are well documented. It's easy to integrate with our hosting partners and our own cloud hosting solution.
User management works well for our needs, with solid access control and clear ownership over projects.
CI/CD pipelines and other automations are simple to set up and are well documented. It's easy to integrate with our hosting partners and our own cloud hosting solution.
User management works well for our needs, with solid access control and clear ownership over projects.
What do you dislike about the product?
I don't have many complaints. Sometimes things take a few too many clicks to get to though and it might be nice to have more ability to customize a homepage dashboard for this reason.
What problems is the product solving and how is that benefiting you?
Git repo hosting, code repositories, and CI/CD pipelines. Having all of this in one place streamlines our process and helps us deliver better performance for our clients.
Phill H.
Powerful DevOps Pipelines for Automation
Reviewed on Apr 14, 2026
Review provided by G2
What do you like best about the product?
The devops pipeline capabilities are powerful for automation
What do you dislike about the product?
The self hosted option is complicated to set up for some features
What problems is the product solving and how is that benefiting you?
Security in devops and workflow automation
Ashish k.
All-in-One DevOps Platform with Built-In CI/CD and Strong Collaboration
Reviewed on Apr 10, 2026
Review provided by G2
What do you like best about the product?
All-In-One DevOps platform
Built in CI/CD pipeline
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Good Collaboration
Merge Request workflow
Built in CI/CD pipeline
Strong version control
Good Collaboration
Merge Request workflow
What do you dislike about the product?
Limited free trial features
Merge conflict handling
Documentation gaps in some areas
Resource-intensive pipelines
Integration limitations
Merge conflict handling
Documentation gaps in some areas
Resource-intensive pipelines
Integration limitations
What problems is the product solving and how is that benefiting you?
Faster development and deployment
Better collaboration
Improved code quality
Automation of repetitive tasks
Better collaboration
Improved code quality
Automation of repetitive tasks
sudha r.
A platform that scales modern engineering workflows
Reviewed on Apr 07, 2026
Review provided by G2
What do you like best about the product?
In my workplace, i'm not just writing training code, I'm responsible for getting models safely, reliably and compliantly into production and gitlab supports that end to end workflow. API and integrations are a major strength that the platform offers in my opinion.
I frequently integrate gitlab with ML tools, data platforms and monitoring systems. Gitlab's APIs make it easy to automate workflows , sync experiment metadata and trigger downstream jobs which keeps my ML ecosystem connected without manual intervention. Issue tracking plays a big role in how I manage vulnerabilities and technical debt. when issues are discovered, i can track them from detection through resolution with full context and history.
I regularly use static code analysis and code analysis to scan ML and application source code for vulnerabilities without executing it. These scans catch issues early which is critical before models are deployed into sensitive or regulated environments.
I frequently integrate gitlab with ML tools, data platforms and monitoring systems. Gitlab's APIs make it easy to automate workflows , sync experiment metadata and trigger downstream jobs which keeps my ML ecosystem connected without manual intervention. Issue tracking plays a big role in how I manage vulnerabilities and technical debt. when issues are discovered, i can track them from detection through resolution with full context and history.
I regularly use static code analysis and code analysis to scan ML and application source code for vulnerabilities without executing it. These scans catch issues early which is critical before models are deployed into sensitive or regulated environments.
What do you dislike about the product?
The more i use it, the more value i get out of it. simply put, i really like the platform and no complaints from my side.
What problems is the product solving and how is that benefiting you?
Gitlab proves to be strong in the need for automation and extensibility for my workflow. deep learning workflows are rarely static and gitlab's APIs. command-line tools and extensibility allow me to adapt the as my needs evolve. I can integrate external ML tools, automate repetitive tasks and customize pipelines without any problem.