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Software Development · head to head

Amp vs Langwatch

A

Amp

Software Development

Amp is the frontier agent

From
$20/monthly
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: Amp minimum $20/month subscription cost with limited orb hours (750); Langwatch free plan limited to 50k events per month, restricting larger deployments

Where they differ

Only the attributes on which Amp and Langwatch actually diverge.

Attributes where Amp and Langwatch differ
AttributeAmpLangwatch
Starting price$20/monthlyFree
Pricing modelsubscriptionTiered subscription with usage-based overage charges
Free tierNoYes
PlatformsWebWeb, 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 Amp

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.

Amp

No use cases recorded yet. See the Amp review.

Langwatch

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

Where each one falls short

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

Amp

  • Minimum $20/month subscription cost with limited orb hours (750)
  • High-tier Gigawatt plan at $200/month required for ultra mode agents
  • Usage limits apply after included quotas are consumed each month
  • Each user limited to maximum of 2 simultaneous subscriptions

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

Amp

$20/monthly
  • Megawatt$20/monthly
    • All product features
    • 750 hours of orbs
    • Use your ChatGPT subscription
  • Gigawatt$200/monthly
    • Everything in Megawatt plus: 1
    • 000 hours of xxlarge orbs
    • $200 included agent usage
  • Education Discount$10/monthly
    • For students and teachers: full access at $10/month (50% off Megawatt)
  • Unconstrained$undefined/usage
    • Pay for what you use at standard rates
    • all agent modes
    • API pricing for model tokens and orbs

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 Amp if

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

Amp 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 Amp or Langwatch better?
Neither clearly leads. Amp starts at $20/monthly and Langwatch at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Amp or Langwatch?
Langwatch has a free tier; the other does not. Paid plans start at $20/monthly for Amp and Free for Langwatch.
Does Amp or Langwatch run on more platforms?
Amp runs on 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. Amp starts at $20/monthly.
What can Amp do that Langwatch cannot?
Langwatch covers Agent simulation testing, LLM evaluation, OpenTelemetry tracing, Langy AI Engineer.

Answered from the vendors’ own pages

Amp: How much does Amp cost per month?

Amp offers two main monthly plans: Megawatt at $20/month (750 hours of orbs) and Gigawatt at $200/month (1,000 hours of xxlarge orbs). Students and teachers get a 50% education discount ($10/month). Source: https://ampcode.com/pricing

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
Amp: What usage is included in Amp subscriptions?

At minimum, Amp subscriptions include agent usage equal to the subscription cost per month. Depending on usage patterns, you may receive additional usage beyond the base guarantee. Megawatt includes 750 orb hours and Gigawatt includes 1,000 hours of xxlarge orbs.

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
Amp: Can I use my own ChatGPT subscription with Amp?

Yes, Amp subscribers who link a ChatGPT subscription pay no per-token fees and can use as many tokens as their third-party subscription allows, making it ideal for users who already have ChatGPT access.

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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