Statsig Review (2026)
An experimentation-first platform where feature flags are unlimited and free, and you pay for analytics events instead. Powerful, cheap for flags, and now owned by OpenAI.
Rating
Starting Price
$0
Free Plan
Yes
SDK Languages
12
Deployment
4
Best For
Teams that want serious A/B experimentation alongside their flags, and want flag evaluations to stay free
Last Updated:
10 Things You Should Know About Statsig
- 1 Flag and config checks are unlimited and free on every tier - it monetizes analytics events
- 2 Free tier includes 2M events, unlimited flags and 50k session replays with no credit card
- 3 Pro is a flat $150/mo, not usage-based on flags
- 4 Acquired by OpenAI on 2 September 2025 for a reported ~$1.1 billion, all-stock
- 5 Founder Vijaye Raji became OpenAI's CTO of Applications; founded 2021 in Bellevue, WA
Pros & Cons
Pros
- ✓ Flag checks are unlimited and free on every plan - it never bills flags
- ✓ The experimentation engine is the strongest in this set, built by ex-Facebook engineers
- ✓ Very generous free tier - 2M events and 50k session replays, no card
- ✓ Flat $150/mo Pro tier is predictable, unlike MAU-based rivals
- ✓ All-in-one - flags, experiments, analytics and replay in one platform
Cons
- ✕ Now owned by OpenAI (Sept 2025), so the standalone roadmap is an open question
- ✕ You pay on analytics events - heavy analytics use gets expensive even if flags are free
- ✕ Not open source and no real self-host - warehouse-native is not the same thing
- ✕ Overkill and complex if you only want basic flags
- ✕ Only one project per Pro subscription
Features
What Statsig actually is
Statsig is an experimentation platform first, and a feature-flag tool second. It bundles four things into one product: feature flags, statistical A/B testing, product analytics, and session replay. The heritage matters here - it was built by ex-Facebook engineers to recreate Facebook’s internal experimentation stack, so the A/B testing engine is the real center of gravity, not the flags.
That’s the opposite of most tools in this space, where experimentation is a bolt-on. If you want serious experimentation and flags in the same platform, Statsig is built experiment-first, and it shows.
It was founded in 2021 in Bellevue, Washington. And then, in September 2025, it got acquired - which we’ll come back to, because it’s the gotcha.
The billing model is the whole story
Here’s the thing that makes Statsig different from LaunchDarkly, and it’s worth understanding before anything else. Flag and config checks are unlimited and free on every tier. Statsig does not bill you for evaluating flags. It bills you for analytics and experiment events.
Think about what that means. LaunchDarkly charges on client-side MAU, and the bill climbs with your traffic. Statsig lets you evaluate flags a billion times a month at zero cost, and only meters the analytics events you send it. If your use case is mostly feature flags with some experimentation on top, Statsig is one of the cheapest serious platforms you can pick.
The trade is that the meter moves on events. Heavy product-analytics usage - lots of tracked events, lots of experiment exposures - is where the bill lives. Flags are free; analytics is what you pay for.
Pricing
The free tier is genuinely generous, and there’s no credit card wall.
| Tier | Price | What you get |
|---|---|---|
| Developer (Free) | $0 | 2M events/mo, unlimited flag checks, 50k session replays, no card |
| Pro | $150/mo flat | 5M events included, then $0.05/1k events, unlimited flags, 100k replays |
| Enterprise | Contact sales | Custom event or experiment contracts, warehouse-native, SSO, RBAC, HIPAA |
Two things stand out. First, Pro is a flat $150/mo, not usage-based on flags - that’s a predictable number you can put in a budget, which is rare in this category. Second, the free tier’s 2M events and 50k session replays are enough to run a small product in production for free.
The one limit to note: Pro is one project per subscription. If you run multiple products, that adds up.
The gotcha: OpenAI owns it now
This is the one to sit with. On 2 September 2025, OpenAI acquired Statsig for a reported ~$1.1 billion in an all-stock deal. Founder and CEO Vijaye Raji became OpenAI’s CTO of Applications. Statsig continues to run independently from its Bellevue office and serve existing customers.
So what’s the risk? It’s roadmap uncertainty. When a product gets absorbed by a company as large and fast-moving as OpenAI, the open questions are the ones you can’t answer from the outside: Does the standalone product stay a priority? Does pricing hold? Does the independent offering keep getting invested in, or does it slowly become internal infrastructure? None of that is decided yet.
To be fair, nothing has broken - the product still ships, the free tier is still generous, existing customers are still served. But if you’re adopting Statsig today, you’re making a multi-year bet on a product whose owner now has bigger priorities. That’s not a dealbreaker. It’s a thing to price in.
No real self-hosting
Worth stating plainly, because it’s easy to get wrong. The SDKs are open source, but the platform is not. Statsig is proprietary SaaS. Enterprise offers a “warehouse-native” deployment that runs compute on your own Snowflake or BigQuery, which is great for data residency, but it is not self-hosting the application. If running the whole platform on your own infrastructure is a hard requirement, Statsig can’t do it - Flagsmith (BSD-3) or Unleash can.
Statsig versus LaunchDarkly
The clean comparison: LaunchDarkly bills flags and gates experimentation; Statsig gives away flags and leads with experimentation. If your budget pain is MAU-based flag billing, Statsig removes it entirely. If experimentation is a first-class need, Statsig’s engine is stronger and cheaper to reach.
Where LaunchDarkly still wins is depth of pure flag tooling - targeting, guarded releases with auto-rollback, ~38 SDKs including the best edge story. Statsig has 30+ SDKs and covers the essentials well, but LaunchDarkly is the deeper flag platform. You’re trading flag depth for experimentation depth and free flag checks.
Should you use it?
Use Statsig if you want real A/B experimentation alongside your flags, you want flag evaluations to stay free no matter your traffic, and you like a predictable flat Pro price. For experiment-heavy teams, it’s the strongest option here.
Don’t use Statsig if you only need basic feature flags (it’s more platform than you need), you send huge volumes of analytics events (that’s where the bill lives), you need genuine self-hosting, or the OpenAI-ownership uncertainty is a risk you can’t accept for a multi-year commitment.
Bottom line: it’s the experimentation-first choice with the friendliest flag billing in the category, and it’s currently free-tier generous and predictably priced. The only real asterisk is who owns it now. If you’re comfortable betting on a product inside OpenAI, Statsig is excellent value.
Pricing and features verified against statsig.com on 23 July 2026. Feature-flag pricing changes often - we re-verify regularly. The OpenAI acquisition figure (~$1.1 billion, 2 September 2025) is from third-party reporting and vendor confirmation, attributed as such.
Pricing Plans
Developer (Free)
$0
- 2M analytics events per month
- Unlimited flag and config checks
- 50,000 session replays per month
- No credit card required
Pro
$150/mo flat
- 5M events included, then $0.05 per 1K
- Unlimited flag and config checks
- 100,000 session replays per month
- One project per subscription
Enterprise
Contact sales
- Event- or experiment-based contracts
- Warehouse-native deployment
- SSO, RBAC, teams, HIPAA-eligible
- Volume discounts
SDK Languages
Deployment
Capabilities
Our Verdict
Statsig is the experimentation-first choice, and its billing model is the opposite of LaunchDarkly's - flag checks are unlimited and free, and you pay for analytics events instead. That makes pure feature-flag usage almost free, and the experimentation engine is genuinely the best here. The catch is ownership - OpenAI acquired Statsig in September 2025, and while it still operates independently, anyone adopting it today is betting on a roadmap that now answers to OpenAI. If you want real experimentation and predictable flag costs, it's excellent. If you only need flags, it's more platform than you need.
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Frequently Asked Questions
How much does Statsig cost?
The free Developer tier is $0 with 2M analytics events per month, unlimited flag checks and 50,000 session replays, no credit card. Pro is a flat $150/mo with 5M events included and $0.05 per 1,000 events after that. Enterprise is custom. Crucially, feature-flag and config checks are unlimited and free on every tier - you only pay for analytics events.
Why are Statsig's feature flags free?
Statsig monetizes analytics and experiment events, not flag evaluations. Flag and config checks are unlimited and free on every plan, including the free tier. That is the opposite of LaunchDarkly, which bills on client-side MAU. If your use case is mostly flags, Statsig is one of the cheapest options available.
Can you self-host Statsig?
No, not really. The SDKs are open source on GitHub, but the platform is proprietary SaaS. Enterprise offers a warehouse-native deployment that runs compute on your own data warehouse like Snowflake or BigQuery, but that is not the same as self-hosting the application. If you need genuine self-hosting, look at Flagsmith or Unleash.
Does OpenAI own Statsig?
Yes. OpenAI acquired Statsig on 2 September 2025 for a reported ~$1.1 billion in an all-stock deal, and founder Vijaye Raji became OpenAI's CTO of Applications. Statsig continues to operate independently from its Bellevue office and serve existing customers, but the long-term roadmap now sits inside OpenAI - that is the main risk to weigh before adopting it.
Is Statsig good for experimentation?
Yes - it is the strongest experimentation platform in this comparison. It was built by ex-Facebook engineers to mirror Facebook's internal experimentation stack, and includes a full statistical engine with sequential testing and CUPED variance reduction. If A/B testing is a first-class need rather than an afterthought, Statsig is built for it.
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