Head to head

PostHog vs Statsig

As a feature flag API, Statsig rates higher on the APIbenchmarks Index, 86.3 to 85.3, a 1-point gap. Here is how they compare on each criterion.

PostHog logo
PostHog
PostHog
A
85.3ABI / 100

All-in-one product analytics with built-in flags

Statsig logo
Statsig
Statsig
A
86.3ABI / 100

Flags + experimentation + product analytics

Criterion by criterion

CriterionPostHogStatsig
Documentation & DX
88
86
Reliability
82
85
Ecosystem & SDKs
80
85
Accessibility
92
90
APIbenchmarks Index85.386.3

Specifications

PostHogStatsig
Best forAll-in-one product analytics with built-in flagsFlags + experimentation + product analytics
Free tierFirst 1M flag-eval requests/mo free, no credit cardFree: unlimited flag checks + 2M metered events/mo, up to ~1M MTUs
PricingPer request (volume-tiered)Per metered event / MTU-based
Official SDKs12 languages12 languages

Is PostHog better than Statsig?

On the APIbenchmarks Index, Statsig rates higher (86.3 vs 85.3). 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 1 points (86.3 vs 85.3) and wins 2 of 4 criteria; PostHog wins 2.

Winner by criterion

CriterionPostHog logoPostHogStatsig logoStatsigWinner
Documentation & DX8886PostHog logoPostHog
Reliability8285Statsig logoStatsig
Ecosystem & SDKs8085Statsig logoStatsig
Accessibility9290PostHog logoPostHog
PostHog vs Statsig API comparison: ABI 85.3 vs 86.3; documentation & dx 88 vs 86, reliability 82 vs 85, ecosystem & sdks 80 vs 85, accessibility 92 vs 90.
PostHog vs Statsig API comparison: ABI 85.3 vs 86.3; documentation & dx 88 vs 86, reliability 82 vs 85, ecosystem & sdks 80 vs 85, accessibility 92 vs 90.

Choose PostHog if… / choose Statsig if…

PostHog logoChoose PostHog if
  • →documentation & dx matters most to you (88 vs 86)
  • →accessibility matters most to you (92 vs 90)
  • →your use case matches its focus: all-in-one product analytics with built-in flags
Statsig logoChoose Statsig if
  • →reliability matters most to you (85 vs 82)
  • →ecosystem & sdks matters most to you (85 vs 80)
  • →your use case matches its focus: flags + experimentation + product analytics

Pricing side by side

PostHog logoPostHog
Model
Per request (volume-tiered)
Free tier
First 1M flag-eval requests/mo free, no credit card
  • Free$0/mo
  • Pay-as-you-go (1-2M tier)$0.0001 / request
  • Pay-as-you-go (2-10M tier)$0.000045 / request
  • Pay-as-you-go (10-50M tier)$0.000025 / request
  • Pay-as-you-go (50M+ tier)$0.00001 / request
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 (PostHog) and 2026-06-27 (Statsig).

SDK and language coverage

Both · 7
Node.jsPythonRubyGoRustPHP.NET
Only PostHog · 5
Web / JavaScriptJavaiOSAndroidReact
Only Statsig · 5
JavaScript (Web)React / React NativeNext.jsAngularJava / Kotlin

Strengths and weaknesses

PostHog logoPostHog
  • +Generous free tier, first 1M flag-evaluation requests per month are free with full feature access and no credit card
  • +Server-side local evaluation cuts flag latency from ~500ms to 10-50ms by removing network I/O
  • +Flags are natively wired into PostHog analytics, experiments, and session replay, no event export needed to measure flag impact
  • –Reliability has wobbled, four flag-service incidents in late Oct 2025 totaling 14+ hours of major impact (CPU under-sizing root cause)
  • –Dense, technical UI with a real learning curve for designing flags, cohorts, and experiment variants
  • –Documentation is strong for getting started but thin for advanced flag debugging scenarios
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

PostHog vs Statsig: questions

Which has better documentation, PostHog or Statsig?
PostHog scores higher on documentation and developer experience: 88 vs 86 out of 100.
Which is more reliable, PostHog or Statsig?
Statsig scores higher on reliability: 85 vs 82 out of 100.
Do PostHog and Statsig have a free tier?
PostHog: yes (First 1M flag-eval requests/mo free, no credit card). Statsig: yes (Free: unlimited flag checks + 2M metered events/mo, up to ~1M MTUs).
How are PostHog and Statsig priced?
PostHog: Per request (volume-tiered). Statsig: Per metered event / MTU-based.
Which has more official SDKs?
Both list 12 official SDKs.

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