Comparison
Winnow vs Statsig
Statsig is a strong general-purpose experimentation and feature-flag platform, recently acquired by OpenAI. But it was built for product teams, not AI teams. Winnow is AI-native from day one, with prompt versioning, LLM evaluation, safety guardrails, and an autonomous optimization agent that Statsig simply doesn't offer.
Feature-by-Feature Comparison
How Winnow and Statsig stack up across the capabilities that matter for AI teams.
| Feature | Winnow | Statsig |
|---|---|---|
| A/B Testing | ||
| LLM Evaluation | ||
| Auto-Optimization Agent | ||
| Feature Flags | ||
| Prompt Versioning | ||
| Safety Guardrails | ||
| Multi-Armed Bandits | ||
| Self-Hosted Option | ||
| Bayesian Methods | ||
| CUSUM Drift Detection |
Pricing Comparison
Winnow Pro
$99/seat/mo
Generous free tier: 5M events/month
- Experiments, flags, eval, and optimization included
- Prompt versioning and guardrails
- Self-hosted deployment option
Statsig Pro
$150/mo
Free tier available with limits
- Product experimentation and feature flags
- Analytics and session replay
- No LLM-specific features
Honest Positioning
Picking the right tool depends on your use case.
Choose Winnow if...
- You are building or shipping AI/LLM features
- You need prompt versioning and evaluation in one platform
- You want an optimization agent that tunes experiments automatically
- Safety guardrails and drift detection are important to you
- You need a self-hosted deployment option
Choose Statsig if...
- Your focus is traditional product experimentation (UI, funnels, conversions)
- You need session replay and product analytics
- You want deep integration with the OpenAI ecosystem post-acquisition
- LLM-specific tooling is not a priority for your team
Ready to experiment on your AI stack?
Start free with 5M events/month. No credit card required.