LaunchDarkly vs Statsig: Feature Flags Compared 2026
Quick Comparison
| Statsig | LaunchDarkly | |
|---|---|---|
| Best For | Teams that want flagging, A/B testing, and analytics bundled into one platform on a usage-metered model. | Larger organizations that want AI-agent evaluation and governance tooling bundled alongside feature flagging. |
| Pricing | Free tier available (2M events/mo) / $150/mo Pro (5M events included) / Enterprise custom | Free tier available (Developer) / Foundation usage-based from $8.33/1,000 MAU or $10/service connection/mo / Enterprise custom |
| Winner | Our Pick |
Tool Breakdown
Statsig
Statsig bundles feature flagging with a full experimentation and analytics platform in one product, and its free tier's 2M events/month is generous for early-stage teams — making it the stronger pick unless you specifically need LaunchDarkly's AI-agent governance tooling.
- Permanent free 'Developer' tier with 2M events/month, unlimited flag/config checks, and 50,000 session replays/month
- Built-in 'Pulse' experimentation automatically assigns gated/ungated users as treatment/control for A/B testing
- Feature Gates support parent-child dependency chains and gradual rollout scheduling
- Pro tier overage billing ($0.05 per 1,000 events beyond the included 5M) makes cost less predictable at scale than a flat per-seat model
- Docs advise against using Feature Gates for multi-value/structured data — Dynamic Configs are recommended instead
LaunchDarkly
LaunchDarkly is an established, closed-source feature-flag platform now repositioned around 'CodeControl' flag delivery and 'AgentControl' AI-agent governance.
- Permanent free 'Developer' tier with unlimited seats, 1 project/3 environments, and 5,000 AI runs/month
- 'AgentControl' adds AI-agent evaluation, adaptive triggers, and an LLM playground on top of standard flagging
- Established platform with a large SDK ecosystem across languages and frameworks
- Foundation-tier pricing is usage-metered per service connection or per 1,000 client-side MAU, making costs harder to predict
- No self-hosting option — cloud-only deployment
Frequently Asked Questions
Is this a common switch — teams moving between LaunchDarkly and Statsig? +
Yes. Both vendors publish dedicated comparison pages against each other, and Statsig publishes a documented migration guide for teams moving off LaunchDarkly, with LaunchDarkly publishing a reciprocal guide for teams moving from Statsig — evidence this is an actively contested switch in both directions.
Which has the more generous free tier? +
Both offer a permanent free tier. Statsig's free 'Developer' tier includes 2M events/month and 50,000 session replays/month. LaunchDarkly's free 'Developer' tier includes unlimited seats but caps at 1 project/3 environments and 5,000 AI runs/month — the two use different metrics, so compare against your actual usage pattern.
Do I need Statsig if I already have an analytics tool? +
Not necessarily — Statsig's main advantage is bundling flagging, experimentation, and analytics into one billing relationship. If you already have a separate, established analytics stack, LaunchDarkly's flagging-first approach (plus its newer AI-agent governance tooling) may be the simpler fit.