OTC continuous glucose monitors are now mainstream for non-diabetic longevity users. Here's how Abbott Lingo, Dexcom Stelo, and the new entrants compare on accuracy, app quality, cost, and what's actually useful for healthspan.
In 2024, the FDA cleared the first over-the-counter continuous glucose monitors for non-diabetic users — Abbott's Lingo and Dexcom Stelo. By 2026, the market has expanded to include several competitors, dramatically lower prices, and a much richer ecosystem of analytic apps. This guide compares the major options for longevity-focused users and explains what data is actually useful.
Postprandial glucose excursions — spikes after meals — drive several aging-relevant processes: glycation of proteins, oxidative stress, vascular endothelial damage, and chronic insulin demand. People with the same fasting glucose can have dramatically different glucose curves, and most don't know it without measurement.
A two-week CGM trial gives you actionable data: which foods spike your glucose, how exercise blunts spikes, how sleep deprivation worsens insulin sensitivity, and whether your meal timing makes things better or worse. For most users, the right framework is two weeks of intensive learning, then targeted re-measurement rather than continuous lifelong wear.
The original OTC entrant. 14-day sensor worn on the upper arm. Streams to a dedicated Lingo app with a "metabolic score" that emphasizes time-in-range and post-meal stability. Sensor accuracy is excellent (MARD ~9%). The app is the most consumer-friendly of the lot, with food logging and exercise overlays.
Cost: $89 per 14-day sensor; subscription bundles available.
15-day sensor, also worn on the upper arm. Built on the Dexcom G7 platform. The app emphasizes clinical-grade data presentation and integration with Apple Health and Garmin. Accuracy is excellent (MARD ~8%). The trade-off vs Lingo is less consumer-friendly UX but better data export and integration.
Cost: $99 per 15-day sensor.
Levels is a software platform layered on top of Abbott or Dexcom sensors, providing food scoring, AI coaching, and longitudinal trend analysis. Subscription model: $200 setup + $199/year. Useful for users who want curation and coaching rather than raw data.
Similar value proposition to Levels, slightly lower cost ($169/year), with strong integration with menstrual cycle tracking — particularly useful for female users tracking glucose response across cycle phases.
Uses Lingo or Stelo sensors with included dietitian consultation. Higher cost ($350/month bundle including sensors and consultations) but the only major option that includes a human coach.
Uses Lingo sensors with predictive glucose modeling — after a 2-week calibration period, the AI predicts your glucose response to specific foods without requiring a sensor. Reasonable middle ground.
For most non-diabetic longevity users, the choice comes down to:
| Factor | Lingo | Stelo |
| Sensor wear time | 14 days | 15 days |
| Accuracy (MARD) | ~9% | ~8% |
| App UX | Better consumer experience | Better data export |
| Health platform integration | Apple Health | Apple Health, Garmin, Oura |
| Cost per day | ~$6.40 | ~$6.60 |
| Insertion comfort | Slightly thinner needle | Slightly thicker but quicker |
| Data lag | ~1 minute | ~1 minute |
Both are excellent. If you're choosing your first CGM and want the simplest experience, choose Lingo. If you have other wearables (Garmin, Oura) or want clinical-grade data export, choose Stelo.
After two weeks of CGM wear, the metrics worth analyzing:
Healthy non-diabetic users should be ≥95% in range. <90% suggests significant glucose dysregulation worth addressing.
Sustained spikes >180 mg/dL even occasionally are a flag. Identify the trigger foods.
A healthy curve returns to baseline within 2–3 hours. Persistent elevation (>140 mg/dL at 3 hours post-meal) suggests insulin resistance.
Healthy users see relatively flat overnight glucose with minor "dawn phenomenon" elevation at 5–7 AM. Significant overnight rises or dips suggest cortisol dysregulation, sleep apnea, or evening eating patterns.
CV (coefficient of variation) <36% is healthy. Higher variability is associated with worse cardiovascular outcomes even when average glucose is normal.
Several CGM-derived numbers are popular but not particularly useful:
Most longevity users get the most value from a structured 2-week wear:
Week 1: Eat your normal diet. Don't change anything. Log meals with photos. Note which foods spike you above 160 mg/dL, which spike <140, and which produce minimal response.
Week 2: Run experiments. Try the same meal at different times of day. Test whether a 10-minute walk after the meal blunts the spike. Try the same carb with vs without protein/fat. Test how sleep deprivation affects baseline.
After 2 weeks, you'll have a personalized food guide and clear understanding of which behaviors most affect your glucose. You don't need to wear a CGM continuously after this learning phase — perhaps a 2-week refresh annually.
CGM data is most actionable when combined with:
For more on what to do with the data, see our How to Use a CGM Without Prescription guide.
Do I need a CGM long-term?
Almost never. Two weeks of CGM is enough to identify your major glucose triggers and behavioral levers. After that, occasional refresh wear (annually or after major dietary changes) is sufficient.
Will my insurance cover this?
For non-diabetic users, no. OTC purchase is the norm. Some FSA/HSA plans cover the sensor cost.
Is it accurate enough for clinical decisions?
For lifestyle decisions, yes. For insulin dosing decisions in diabetes, prescription-grade CGM with proper calibration is required.