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Software Development · head to head

Devin vs Langwatch

Devin logo

Devin

Software Development

Autonomous AI software engineer planning and executing code in its own environment

From
On request
Rated
-
Full reviewWebsite
Langwatch logo

Langwatch

Machine Learning

LLM engineering platform for testing and evaluating AI agents in production

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Langwatch has a free tier, so it costs nothing to try first.
  • Each has a real cost: Devin pricing not published; specific costs and plan tiers require signup or contact with sales; Langwatch free plan limited to 50k events per month, restricting larger deployments

Where they differ

Only the attributes on which Devin and Langwatch actually diverge.

Attributes where Devin and Langwatch differ
AttributeDevinLangwatch
Starting priceOn requestFree
Pricing modelsubscriptionTiered subscription with usage-based overage charges
Free tierNoYes
PlatformsDesktop, Windsurf integration, WebWeb, Docker, Kubernetes
CategorySoftware DevelopmentMachine Learning

Identical on both: user rating (Not yet rated).

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 Devin

Nothing recorded that Langwatch does not also cover.

Only in Langwatch

  • Agent simulation testing
  • LLM evaluation
  • OpenTelemetry tracing
  • Langy AI Engineer
  • Governance controls
  • Multiple deployment options
  • Framework support

What people use each for

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

Devin

  • Feature implementation and ticket resolution in established codebasesnot Langwatch
  • Code migrations and refactoring at scale across repositoriesnot Langwatch
  • Bug fixing and debugging with test-driven verificationnot Langwatch
  • Rapid prototyping and proof-of-concept developmentnot Langwatch
  • Repetitive implementation tasks freeing human engineers for complex designnot Langwatch

Langwatch

  • Continuous testing of AI agents before production deploymentnot Devin
  • Automated test creation from product requirementsnot Devin
  • LLM response quality evaluation and scoringnot Devin
  • Production agent monitoring and cost trackingnot Devin
  • Governance and access control for AI systemsnot Devin

Where each one falls short

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

Devin

  • Pricing not published; specific costs and plan tiers require signup or contact with sales
  • Cannot handle extremely difficult tasks reliably; success rate decreases with task complexity
  • Requires clear, well-scoped task descriptions; ambiguous requirements reduce effectiveness
  • Requires human oversight and integration into existing workflows; not fully autonomous

Langwatch

  • Free plan limited to 50k events per month, restricting larger deployments
  • Pricing in EUR may complicate budgeting for US-based teams
  • Usage-based overage model can create unpredictable costs
  • Self-hosted option requires DevOps expertise

Pricing, plan by plan

Devin

On request

No published plan breakdown. See the Devin review.

Langwatch

Free
  • DeveloperFree
    • 50k events per month
    • 14-day data access
    • 2 users
  • Growth$29/month
    • 200k events per month included
    • 5 EUR per 100k additional events
    • 30-day data retention
  • Enterprise$undefined/custom
    • Custom event limits
    • Hybrid, self-hosted or on-premises deployment
    • Custom SSO and RBAC

Which should you pick?

Choose Devin if

  • You work on Desktop, Windsurf integration, Web.
Devin review

Choose Langwatch if

  • You need agent simulation testing.
  • You want to start without paying.
  • You work on Web, Docker, Kubernetes.
  • You also want llm evaluation.
Langwatch review

Questions people ask

Is Devin or Langwatch better?
Neither clearly leads. Devin starts at On request and Langwatch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Devin or Langwatch?
Langwatch has a free tier; the other does not. Paid plans start at On request for Devin and Free for Langwatch.
Does Devin or Langwatch run on more platforms?
Devin runs on Desktop, Windsurf integration, Web. Langwatch runs on Web, Docker, Kubernetes.
Can I use Langwatch for free?
Yes. Langwatch has a free tier, so you can try it without paying. Devin starts at On request.
What is Devin best used for?
Devin is most often used for feature implementation and ticket resolution in established codebases, code migrations and refactoring at scale across repositories, bug fixing and debugging with test-driven verification, rapid prototyping and proof-of-concept development. Of those, feature implementation and ticket resolution in established codebases and code migrations and refactoring at scale across repositories are not what Langwatch is typically brought in for.
What can Devin do that Langwatch cannot?
Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer.

Answered from the vendors’ own pages

Devin: What does Devin cost?

Devin's pricing is not publicly listed on their website. Interested parties must request a demo to discuss pricing and availability.

Source
Langwatch: Is there a permanent free tier?

Yes, Langwatch's Developer plan is free forever with 50k events per month, 14-day data access, 2 users, and no credit card required. It is specifically designed for individual developers prototyping AI applications.

Source
Devin: How do I get access to Devin?

Devin is accessed by requesting a demo. There is no information about self-service signup, trial, or pricing on the public website.

Source
Langwatch: What is Langy and how does it save time?

Langy is an AI-powered tool that automates test creation. It converts product requirements into test scenarios, runs simulations, scores results, and generates pull requests with fixes in a median of 14 minutes.

Source
Langwatch: What frameworks does Langwatch support?

Langwatch works with LangGraph, LangChain, CrewAI, OpenAI Agents, AWS Bedrock, Azure OpenAI, Vertex AI, and other major LLM frameworks and platforms.

Source
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