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Dagger vs Magnific

Dagger logo

Dagger

Developer Tools

Programmable CI/CD engine that runs your pipeline as containers on any runner

From
Free
Free plan
Yes
Visit DaggerFull review
Magnific logo

Magnific

Design

A creative AI platform for image, video, and audio generation, formerly Freepik AI

From
€12/month
Free plan
No
Visit MagnificFull review

The short version

  • Dagger has a free plan, then $50/mo; Magnific starts at €12/mo.
  • Where Magnific falls short: premium plan limited to 240K credits annually.
  • Prices and features on this page were last checked on 13 November 2026.

Where they differ

Only the attributes on which Dagger and Magnific actually diverge.

Attributes where Dagger and Magnific differ
AttributeDaggerMagnific
Starting priceFree€12/month
Pricing modelPer month per team for Dagger CloudSubscription
Free tierYesNo
PlatformsLinux, macOS, Windows, Self-hostedWeb
CategoryDeveloper ToolsDesign

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Dagger

  • Pipelines as code
  • Local and CI parity
  • Content-addressed caching
  • Dagger Functions and modules
  • CI-provider agnostic
  • Dagger Cloud traces
  • GitHub Checks integration
  • Container-native execution

Only in Magnific

Nothing recorded that Dagger does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Dagger

  • A platform team maintaining near-identical build YAML across forty repositories that wants one versioned module every repository calls insteadnot Magnific
  • An engineering organisation migrating off a CI provider that does not want to rewrite every pipeline as part of the migrationnot Magnific
  • A team whose engineers waste hours pushing commits to debug CI-only failures and needs to reproduce the exact run locallynot Magnific
  • A monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materiallynot Magnific

Magnific

  • AI image upscaling for commercial projectsnot Dagger
  • Video enhancement with AI-powered editingnot Dagger
  • Music and audio generation for content creationnot Dagger
  • Design workspace collaboration with shared canvasesnot Dagger

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Dagger

  • Dagger is not a CI provider, so you keep paying for GitHub Actions or GitLab runners underneath it; the Dagger Cloud subscription is an addition to your CI bill, not a replacement for it
  • Writing pipelines in Go or TypeScript raises the barrier to entry: a release engineer who could edit a YAML step now needs to read code, and the people who can fix a broken build shrink to those comfortable with the SDK
  • The engine runs as a container on the runner and needs a persistent cache volume to deliver its main benefit, so ephemeral CI runners give you correctness without the speed, and provisioning durable cache storage is extra platform work
  • The Team plan caps at ten users and ten million events per month; an organisation of any size crosses that quickly and moves to Enterprise pricing that is not published, so cost at scale is unknowable up front
  • The module ecosystem is young and thinly maintained relative to the marketplace of a mature CI provider, so integrations that exist as a one-line Action often have to be written yourself as a Dagger function

Magnific

  • Premium plan limited to 240K credits annually
  • Pricing in EUR only (currency conversion fees may apply)
  • Credits expire after 1 year of inactivity
  • Different AI models consume varying credits

Pricing, plan by plan

Dagger

Free
  • IndividualFree
    • One user
    • One million events per month
    • Workflow logs and function call traces
  • Team$50/mo
    • Up to ten users
    • Ten million events per month
    • Module insights and module catalogue
  • EnterpriseOn request
    • Custom user and event limits
    • SSO
    • Managed single-tenant deployment

Magnific

€12/month
  • Premium€12/mo
    • 240K credits per year
    • Access to all image, video and audio models
    • Commercial AI license
  • Premium+€27/mo
    • 600K credits per year
    • Commercial AI license and music rights
    • Best value for unlimited generations
  • Pro€172.5/mo
    • 4M credits per year with best credit value
    • Commercial AI license and music rights
    • For professionals scaling content production

Which should you pick?

Choose Dagger if

  • You need pipelines as code.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Self-hosted.
  • You also want local and ci parity.
Dagger review

Choose Magnific if

Nothing in the data separates Magnific from Dagger on the points above - pick on price and on how each one feels to use.

Magnific review

Questions people ask

Is Dagger or Magnific better?
Neither clearly leads. Dagger starts at Free and Magnific at €12/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Dagger or Magnific?
Dagger has a free tier; the other does not. Paid plans start at Free for Dagger and €12/month for Magnific.
Does Dagger or Magnific run on more platforms?
Dagger runs on Linux, macOS, Windows, Self-hosted. Magnific runs on Web.
Can I use Dagger for free?
Yes. Dagger has a free tier, so you can try it without paying. Magnific starts at €12/month.
What is Dagger best used for?
Dagger is most often used for a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead, an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration, a team whose engineers waste hours pushing commits to debug ci-only failures and needs to reproduce the exact run locally, a monorepo where most commits touch a small subset of services and cache-accurate step skipping cuts build minutes materially. Of those, a platform team maintaining near-identical build yaml across forty repositories that wants one versioned module every repository calls instead and an engineering organisation migrating off a ci provider that does not want to rewrite every pipeline as part of the migration are not what Magnific is typically brought in for.
What can Dagger do that Magnific cannot?
Dagger covers Pipelines as code, Local and CI parity, Content-addressed caching, Dagger Functions and modules.

Answered from the vendors’ own pages

Dagger: Does Dagger replace GitHub Actions?

No. Dagger runs inside GitHub Actions or any other CI. It replaces the YAML that describes your pipeline steps, not the trigger and runner layer.

Magnific: How much does Magnific cost?

Magnific offers three plans: Premium at EUR 12/month (240K credits/year), Premium+ at EUR 27/month (600K credits/year), and Pro at EUR 172.50/month (4M credits/year). All prices require annual billing.

Source
Dagger: Is the engine open source?

Yes, the Dagger engine and SDKs are open source and free. Dagger Cloud, the observability product, is what costs money.

Magnific: What refund policy does Magnific offer?

Magnific offers a 30-day refund guarantee with no cancellation fees across all plans.

Source
Dagger: What is an event in the pricing?

Dagger Cloud meters pipeline telemetry events. One million per month is free; the Team plan at 50 USD per month allows ten million.

Magnific: How long are credits valid?

Credits are valid for 1 year. Different AI models consume varying amounts of credits (e.g., Seedream 5.0 Pro requires 75 credits per image).

Source
Dagger: Can I run the same pipeline on my laptop?

Yes, that is the main reason teams adopt it. The dagger CLI executes the identical graph locally, so CI-only failures become reproducible.

Magnific: Do all plans include commercial rights?

Yes, all plans include a commercial AI license. Premium+ and Pro also include music rights for content generation.

Source
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