Comparison
Winnow vs LaunchDarkly
LaunchDarkly is the market leader in feature flags, and they charge like it. Per-seat plus per-MAU pricing adds up fast, experimentation is a paid add-on, and there are no AI-native features. Winnow includes feature flags, experiments, LLM eval, and an optimization agent in one transparent price.
Feature-by-Feature Comparison
LaunchDarkly owns feature flags. Winnow gives you flags plus the AI tooling LaunchDarkly lacks.
| Feature | Winnow | LaunchDarkly |
|---|---|---|
| Feature Flags | ||
| A/B Testing | ||
| LLM Evaluation | ||
| Auto-Optimization Agent | ||
| Dynamic Configs | ||
| User Segments | ||
| Prompt Versioning | ||
| Permanent Free Tier | ||
| Self-Hosted Option | ||
| Safety Guardrails |
* LaunchDarkly A/B testing requires the Experimentation add-on at additional cost.
Pricing Comparison
Winnow Pro
$99/seat/mo
Free tier: 5M events/month, unlimited flags
- Flags + experiments + eval + optimization included
- Transparent, all-inclusive pricing
- No per-MAU charges
LaunchDarkly Pro
~$12-20/seat/mo
+ ~$3/1K MAU for experiments (add-on)
- Feature flags and targeting
- Experimentation is a separate paid add-on
- No permanent free tier (14-day trial only)
The hidden cost of LaunchDarkly. Per-seat pricing looks low, but MAU-based experiment charges scale unpredictably. A team of 10 with 100K MAU experimenting could pay $300+/mo on experiments alone, before any AI features, which LaunchDarkly doesn't offer.
Honest Positioning
Different tools for different stages of the stack.
Choose Winnow if...
- You are shipping AI features and need flags + eval together
- You want experimentation included, not as an add-on
- Predictable, transparent pricing matters to your team
- You need LLM-specific tooling (prompts, guardrails, optimization)
- A permanent free tier is important for testing and side projects
Choose LaunchDarkly if...
- Feature flags are your only need, and you have the budget
- You need the deepest feature-flag ecosystem and integrations
- Your team is non-AI and focused on traditional product rollouts
- Enterprise compliance and audit trails are a top priority
Feature flags should come with experiments built in
Unlimited free flags. Experiments included. No per-MAU surprises.