Levels
by Levels Health
Lets members swap in their own compatible CGM sensor (Stelo, G7, or Libre 3) without changing the membership price — most competitors bundle a single proprietary sensor choice.
✓ Last verified July 2026
What it is
A continuous glucose monitoring program that connects a meal, workout, or bad night of sleep to real-time glucose response, using CGM data to give personalized suggestions for glucose stability and to compare how different food swaps affect blood sugar. Membership tiers determine what's included: Classic covers CGM access alone Core adds lab panels (28+ biomarkers) Complete adds comprehensive labs (100+ markers) plus a nutritionist session and concierge support. Sensors (Dexcom Stelo, Dexcom G7, or Abbott Libre 3) are included as part of the membership allocation, and members can substitute their own sensors at no cost difference. Classic $24/month or $288/year Core $41/month or $499/year Complete $167/month or $1,999/year.
Key features
- Continuous glucose monitoring with meal/exercise/sleep correlation
- Personalized food-swap and habit suggestions for glucose stability
- Tiered lab-panel add-ons (28+ to 100+ biomarkers)
- Nutritionist session and concierge support (Complete tier)
- Flexible sensor choice (Stelo, G7, or Libre 3) at no added membership cost
Best for
People who want CGM-based metabolic tracking with the flexibility to choose their own sensor.
Pricing
Classic $24/month or $288/year (CGM only) Core $41/month or $499/year (+ 28+ biomarker labs) Complete $167/month or $1,999/year (+ 100+ biomarker labs, nutritionist session, concierge).
Integrations
- Dexcom Stelo
- Dexcom G7
- Abbott Libre 3
Useful for
Other cgm & metabolic programs
Combines CGM data specifically with GLP-1 dose-titration support and nationwide medication home delivery — a tighter medication+device integration than most CGM-only competitors.
Pulls in sleep, HRV, recovery, and strain data from Oura Ring/WHOOP alongside glucose readings, so the AI coaching accounts for recovery state, not just food and glucose.
Predicts a meal's blood-sugar impact before you eat it, rather than only reporting the response after the fact, and extends the same engine into clinician-facing tools.