Developer Tools · head to head
ConfigCat vs Lambda

ConfigCat
Developer Tools
Feature flag service priced per flag and environment with unlimited seats and unlimited monthly active users
- From
- Free
- Free plan
- Yes

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Free plan
- No
The short version
- Only ConfigCat has a free tier, so it costs nothing to try first.
- Each has a real cost: ConfigCat there is no experimentation or statistical analysis engine, so teams wanting real A/B tests with significance testing must buy and integrate a separate analytics or experimentation product.; Lambda no free tier or trial, requiring immediate commitment for testing
- They diverge on capability: ConfigCat covers Feature flags and configuration, Lambda covers Superclusters.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which ConfigCat and Lambda actually diverge.
| Attribute | ConfigCat | Lambda |
|---|---|---|
| Starting price | Free | On request |
| Pricing model | Per month by feature flag and environment count | Pay-as-you-go hourly pricing with volume discounts for reserved capacity |
| Free tier | Yes | No |
| Platforms | Web, API, iOS, Android, Node.js, .NET, Java, Python, Go | Cloud |
| Category | Developer Tools | Cloud |
| Founded | Unknown | 2012 |
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 ConfigCat
- Feature flags and configuration
- Percentage rollouts
- Targeting rules and segments
- Unlimited seats
- Global CDN delivery
- Audit log
- Public API and webhooks
- SDKs across languages
Only in Lambda
- Superclusters
- 1-Click Clusters
- On-demand instances
- Liquid cooling
- InfiniBand networking
- Managed orchestration
- Co-engineering support
What people use each for
The jobs each tool is most often brought in to do.
ConfigCat
- A consumer or mobile app with millions of users where per-MAU flag pricing would cost more than the flags are worthnot Lambda
- A team that wants every engineer, product manager and support agent to have a login without paying per seatnot Lambda
- Decoupling deployment from release with percentage rollouts and a kill switch, without buying an experimentation platformnot Lambda
- A small team that needs ten flags permanently and can run indefinitely on the free tiernot Lambda
Lambda
- Training foundation models at scale with dedicated GPU infrastructurenot ConfigCat
- Large-scale inference serving on enterprise-grade hardwarenot ConfigCat
- Multi-GPU distributed training with InfiniBand networkingnot ConfigCat
- Single-tenant secure compute for regulated industriesnot ConfigCat
- AI lab infrastructure for frontier model developmentnot ConfigCat
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ConfigCat
- There is no experimentation or statistical analysis engine, so teams wanting real A/B tests with significance testing must buy and integrate a separate analytics or experimentation product.
- Pricing by flag count punishes exactly the hygiene you want: the Pro tier caps at 100 flags, so teams that do not aggressively retire stale flags are pushed to the 325 dollar Smart tier for housekeeping reasons rather than growth.
- The free tier allows only 2 environments, which does not cover the common development, staging and production split, so almost any real deployment starts on a paid plan.
- It is a smaller vendor than the category incumbents, so enterprise procurement teams will find less depth in compliance attestations, contractual terms and reference architecture than LaunchDarkly offers.
- Flag evaluation relies on SDK-side caching of a CDN-delivered config, which is fast but means propagation of a change is eventually consistent rather than instant, something to understand before relying on it as an emergency kill switch.
Lambda
- No free tier or trial, requiring immediate commitment for testing
- Single-tenant Superclusters require custom pricing discussions
- Pricing complexity across multiple GPU types and cluster sizes
- Less suitable for experimentation or small teams with tight budgets
Pricing, plan by plan
ConfigCat
Free- Forever FreeFree
- 10 feature flags
- 2 environments and 2 products
- 2 segments
- Pro$110/month
- 100 feature flags
- 3 environments and 3 products
- Unlimited seats and MAUs
- Smart$325/month
- Unlimited feature flags
- Unlimited environments, products and segments
- Unlimited seats and MAUs
- Enterprise$900/month
- Everything in Smart
- Enterprise support and controls
- Unlimited everything on flag counts
Lambda
On request- 1-Click Clusters B200$undefined/hourly
- 16 GPUs: $9.86/GPU/hour
- 256+ GPUs: $8.87/GPU/hour
- 1-year+ reserved discounts available
- 1-Click Clusters H100$undefined/hourly
- 16 GPUs: $6.16/GPU/hour
- 256+ GPUs: $5.54/GPU/hour
- On-Demand Instances B200$undefined/hourly
- SXM6: $6.69/GPU/hour
- On-Demand Instances H100$undefined/hourly
- SXM: $3.99/GPU/hour
Which should you pick?
Choose ConfigCat if
- You need feature flags and configuration.
- You want to start without paying.
- You work on Web, API, iOS, Android, Node.js, .NET, Java, Python, Go.
- You also want percentage rollouts.
Choose Lambda if
- You need superclusters.
- You work on Cloud.
- You also want 1-click clusters.
Questions people ask
- Is ConfigCat or Lambda better?
- Neither clearly leads. ConfigCat starts at Free and Lambda at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ConfigCat or Lambda?
- ConfigCat has a free tier; the other does not. Paid plans start at Free for ConfigCat and On request for Lambda.
- Does ConfigCat or Lambda run on more platforms?
- ConfigCat runs on Web, API, iOS, Android, Node.js, .NET, Java, Python, Go. Lambda runs on Cloud.
- Can I use ConfigCat for free?
- Yes. ConfigCat has a free tier, so you can try it without paying. Lambda starts at On request.
- What is ConfigCat best used for?
- ConfigCat is most often used for a consumer or mobile app with millions of users where per-mau flag pricing would cost more than the flags are worth, a team that wants every engineer, product manager and support agent to have a login without paying per seat, decoupling deployment from release with percentage rollouts and a kill switch, without buying an experimentation platform, a small team that needs ten flags permanently and can run indefinitely on the free tier. Of those, a consumer or mobile app with millions of users where per-mau flag pricing would cost more than the flags are worth and a team that wants every engineer, product manager and support agent to have a login without paying per seat are not what Lambda is typically brought in for.
- What can ConfigCat do that Lambda cannot?
- ConfigCat covers Feature flags and configuration, Percentage rollouts, Targeting rules and segments, Unlimited seats. Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling.
Answered from the vendors’ own pages
ConfigCat: How is ConfigCat priced?
By feature flag, environment and product count. Seats, monthly active users and flag reads are unlimited on every plan.
Lambda: What makes Lambda's infrastructure different?
Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.
SourceConfigCat: Is the free tier usable?
For small projects yes, but at 10 flags and 2 environments it will not cover a dev, staging and production setup.
Lambda: How does pricing work for large clusters?
1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.
SourceConfigCat: Can it run A/B tests?
It can split traffic, but there is no statistics engine. You need a separate analytics tool to decide a winner.
Lambda: Which GPU types are available?
Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.
SourceConfigCat: How fast does a flag change take effect?
SDKs poll and cache, so changes propagate on the polling interval rather than instantly.
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