Head to head

ConfigCat vs Statsig

As a feature flag API, Statsig rates higher on the APIbenchmarks Index, 86.3 to 83.2, a 3.1-point gap. Here is how they compare on each criterion.

ConfigCat logo
ConfigCat
ConfigCat
B
83.2ABI / 100

Simple flat-priced feature flags for any team size

Statsig logo
Statsig
Statsig
A
86.3ABI / 100

Flags + experimentation + product analytics

Criterion by criterion

CriterionConfigCatStatsig
Documentation & DX
84
86
Reliability
78
85
Ecosystem & SDKs
82
85
Accessibility
90
90
APIbenchmarks Index83.286.3

Specifications

ConfigCatStatsig
Best forSimple flat-priced feature flags for any team sizeFlags + experimentation + product analytics
Free tierFree: 10 flags, unlimited seats, unlimited flag readsFree: unlimited flag checks + 2M metered events/mo, up to ~1M MTUs
PricingFlat tier (config fetches)Per metered event / MTU-based
Official SDKs12 languages12 languages

Is ConfigCat better than Statsig?

On the APIbenchmarks Index, Statsig rates higher (86.3 vs 83.2). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.

Verdict in one line

Statsig leads by 3.1 points (86.3 vs 83.2) and wins 3 of 4 criteria.

Winner by criterion

CriterionConfigCat logoConfigCatStatsig logoStatsigWinner
Documentation & DX8486Statsig logoStatsig
Reliability7885Statsig logoStatsig
Ecosystem & SDKs8285Statsig logoStatsig
Accessibility9090Tie
ConfigCat vs Statsig API comparison: ABI 83.2 vs 86.3; documentation & dx 84 vs 86, reliability 78 vs 85, ecosystem & sdks 82 vs 85, accessibility 90 vs 90.
ConfigCat vs Statsig API comparison: ABI 83.2 vs 86.3; documentation & dx 84 vs 86, reliability 78 vs 85, ecosystem & sdks 82 vs 85, accessibility 90 vs 90.

Choose ConfigCat if… / choose Statsig if…

ConfigCat logoChoose ConfigCat if
  • →your use case matches its focus: simple flat-priced feature flags for any team size
Statsig logoChoose Statsig if
  • →documentation & dx matters most to you (86 vs 84)
  • →reliability matters most to you (85 vs 78)
  • →ecosystem & sdks matters most to you (85 vs 82)
  • →your use case matches its focus: flags + experimentation + product analytics

Pricing side by side

ConfigCat logoConfigCat
Model
Flat tier (config fetches)
Free tier
Free: 10 flags, unlimited seats, unlimited flag reads
  • Forever Free$0/mo
  • Pro$110/mo
  • Smart$325/mo
  • Enterprise$900/mo
  • Dedicated$4,500/mo
Statsig logoStatsig
Model
Per metered event / MTU-based
Free tier
Free: unlimited flag checks + 2M metered events/mo, up to ~1M MTUs
  • Developer (Free)$0/month
  • Pro$150/month
  • EnterpriseCustom

Vendor-published pricing, verified 2026-06-27 (ConfigCat) and 2026-06-27 (Statsig).

SDK and language coverage

Both · 5
.NETJavaScript (Browser/Node/Deno/Bun)GoPythonPHP
Only ConfigCat · 7
ReactCloudflare WorkerJava / AndroidKotlin MultiplatformRuby / Rust / Elixir / C++Swift (iOS) / Dart (Flutter)Unity / Unreal Engine
Only Statsig · 7
React / React NativeNext.jsAngularNode.js (server)Java / KotlinRubyRust

Strengths and weaknesses

ConfigCat logoConfigCat
  • +Flat pricing with unlimited team members, MAUs/contexts and flag reads on every tier (including Free), no per-seat or per-MAU charges
  • +Genuinely simple to adopt; many teams self-serve in hours without sales contact
  • +Generous Forever Free plan with unlimited seats
  • –No built-in experimentation/A-B test result analytics, intentionally not an experimentation platform
  • –Segment and target-user management can become messy as flag count grows
  • –UI has a learning curve for newcomers
Statsig logoStatsig
  • +Feature-flag and dynamic-config checks are unlimited and free on every tier, you never pay per flag evaluation
  • +No per-seat pricing: adding engineers or PMs doesn't change the bill
  • +Generous free Developer tier (2M events, unlimited flag checks, 50k session replays, 1-yr retention)
  • –Event-/experiment-based metered pricing can produce large surprise bills at high traffic once analytics, experiments or session replay are heavily used
  • –No self-hosted / on-prem option, a blocker for strict data-sovereignty requirements
  • –Proprietary statistical models are a 'black box', making it hard for data-science teams to validate p-value calculations or run custom frameworks

ConfigCat vs Statsig: questions

Which has better documentation, ConfigCat or Statsig?
Statsig scores higher on documentation and developer experience: 86 vs 84 out of 100.
Which is more reliable, ConfigCat or Statsig?
Statsig scores higher on reliability: 85 vs 78 out of 100.
Do ConfigCat and Statsig have a free tier?
ConfigCat: yes (Free: 10 flags, unlimited seats, unlimited flag reads). Statsig: yes (Free: unlimited flag checks + 2M metered events/mo, up to ~1M MTUs).
How are ConfigCat and Statsig priced?
ConfigCat: Flat tier (config fetches). Statsig: Per metered event / MTU-based.
Which has more official SDKs?
Both list 12 official SDKs.

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