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Pricing snapshot Dataset dated 2026-04-21

Pricing comparison

LaunchDarkly vs Statsig

Side-by-side pricing breakdown for Feature Flags & Experimentation Platforms decision-makers

Each amount uses its recorded currency; no currency conversion is applied. Confirm billing units, commitments, and current regional terms.

Compare the plan that fits your requirements

Check billing units, included usage and renewal terms. Starting prices alone do not establish an overall winner.

Dataset dated 2026-04-21. Sources: LaunchDarkly pricing and Statsig pricing.

Affiliate links may earn us a commission. Both vendors remain available for comparison.

Recorded starting rates: LaunchDarkly Price unavailable; Statsig $150/mo. Billing units and commitments can differ. Compare the plans that include your required features, then request quotes for the same quantity and term.

LaunchDarkly logo

LaunchDarkly

4 plans
Price unavailable
Free plan
Renewal Not recorded Not recorded
Visit LaunchDarkly
VS
Statsig logo

Statsig

3 plans
$150/mo
Free plan
Renewal Not recorded Not recorded
Visit Statsig

Feature Comparison

Feature LaunchDarkly Statsig
feature flags Unlimited all plans Unlimited all plans
experimentation All plans - statistical significance testing Advanced on Pro+
ai configs Foundation+ Not recorded
sdks 30 idiomatic SDKs Not recorded
session replay 5K free, scales on Foundation+ 50K free / 100K Pro
service connection billing $12/connection Foundation Not recorded
mau billing $10/1K client-side MAU Foundation Not recorded
release automation Enterprise+ Not recorded
guardrail auto rollback Guardian only Not recorded
free tier quality Free tier includes listed flags and experimentation allowances; confirm current usage limits Developer lists two million monthly events; suitability depends on the workload and current terms
product analytics Not recorded Full-featured Pro+
web analytics Not recorded Included
warehouse native Not recorded Enterprise only (BYO Snowflake/BigQuery/Databricks)
seats Not recorded Unlimited all plans
overage rate Not recorded $0.05/1K events Pro
change reviews Not recorded Pro+
Visit LaunchDarkly Visit Statsig

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Dive Deeper

About the feature flags & experimentation platforms category

Feature-flag platforms differ in deployment, experimentation, governance and billing units. LaunchDarkly lists connection and client-usage charges; ConfigCat has flat tiers with SDK-call limits; Unleash combines seats and usage; Statsig lists event-based tiers. Split/Harness pricing requires current packaging confirmation. Seats, active users, SDK requests and analytics events are different quantities, so compare a measured implementation rather than headline prices.

How to choose between feature flags & experimentation platforms options

Define the release workflow you need: targeting, gradual rollout, approval, audit history and rollback. If running experiments, also test assignment, metrics and analysis requirements. Check the SDK behavior in your environment, including caching and failure handling. Measure billable usage with realistic traffic and confirm how server-side, client-side and analytics activity are counted. Self-hosting requires an operating and recovery plan as well as a license review.

Building Your Business Stack?

Decision-makers comparing tools often need more than one category. Here are related comparisons:

← See all Feature Flags & Experimentation Platforms pricing

Frequently Asked Questions

How do LaunchDarkly and Statsig prices compare?
LaunchDarkly: Price unavailable. Statsig: $150/mo. These are recorded starting prices; compare billing units, included usage and contract terms before treating them as equivalent costs.
Which is better for my requirements, LaunchDarkly or Statsig?
Compare the recorded features and plan limits against your requirements, then confirm them with each vendor. This page does not establish hands-on testing or an overall winner.
What happens after the first billing term?
Use any recorded renewal rate as a dated observation. When a future rate is missing, ask the vendor; do not assume the starting price remains unchanged.