Home › Articles › MyFitnessPal vs Cronometer
Head-to-HeadPublished: May 1, 2026
Both apps are calorie-tracking institutions. But in 2026, the gap between them — in AI accuracy, database quality, and pricing — is larger than most people realize. Here’s what our benchmark data actually shows.
Pulled from our 2026 benchmark of 15,000 standardized food photos.
| Metric | MyFitnessPal | Cronometer |
|---|---|---|
| Overall Rank (2026) | #2 | #5 |
| Overall Score | 7.8 / 10 | 7.3 / 10 |
| Food ID Rate | 71.2% | 64.8% |
| Portion MAPE | ±18% | ±22% |
| Processing Speed | 8.4s | 12.4s |
| Global Food Coverage | Global | US / Canada |
| Micronutrient Depth | Basic | Best-in-Class |
| Free Tier | Yes (limited) | Yes (generous) |
| Paid Plan (annual) | $79.99 / yr | $49.99 / yr |
Data from the 2026 AI Calorie Tracker Benchmark. ID rate and portion MAPE measured on 15,000 standardized food photos. See full methodology.
MyFitnessPal edges Cronometer on every AI accuracy metric — food identification rate (71.2% vs 64.8%), portion estimation error (±18% vs ±22%), and processing speed (8.4s vs 12.4s). It also covers global cuisines, while Cronometer’s food photo recognition is noticeably weaker on dishes outside North American staples.
But it’s important to put both numbers in context. Even MyFitnessPal’s 71.2% ID rate means that roughly 1 in 4 food photos is misidentified. Compare that to Welling’s 95.6%, and you get a sense of how much headroom both legacy apps still have. If you’re eating a lot of complex or non-Western meals, you’ll end up correcting photo results manually — with either app.
Both apps rely primarily on older CNN-based vision architectures rather than the multimodal AI approaches that have driven accuracy improvements in newer entrants. Neither supports natural language food description as a first-class logging method, which is increasingly the way high-accuracy trackers handle complex meals.
Premium-only feature. Good for simple, whole-food meals. Struggles with mixed dishes and international cuisine. Corrections are straightforward via the search database fallback.
Available on Gold. Slower and less accurate than MFP, especially for cuisine diversity. Cronometer’s real strength is manual search and its Gold-verified database entries, not AI photo recognition.
This is where the two apps have genuinely different philosophies, and where your use case matters most.
MyFitnessPal has one of the largest food databases in the world — over 14 million entries — built largely through user contributions. The upside is broad coverage of branded, packaged, and restaurant foods. The downside is data quality: user-submitted entries are frequently wrong, duplicated, or outdated. If you’re eating a lot of processed and packaged foods with barcodes, MFP is fast and convenient. If you need reliable macro or micronutrient data on whole foods, you’ll occasionally find inconsistent entries.
Cronometer takes the opposite approach. Its database is smaller, but it emphasizes verified entries from government nutrition databases (USDA, NCCDB, and others). Every entry includes full micronutrient breakdowns — vitamins, minerals, amino acids, fatty acids — at a level of depth that MyFitnessPal simply doesn’t match. If you need to track selenium intake or monitor your omega-3 to omega-6 ratio, Cronometer is the only realistic choice in this comparison.
The tradeoff is coverage: Cronometer’s database skews heavily toward US and Canadian foods. Users in other regions often find gaps that require manual entry.
Cronometer’s free tier is meaningfully more generous than MyFitnessPal’s — you get full macronutrient tracking, micronutrient breakdowns, and food diary access without paying anything. MyFitnessPal’s free tier restricts macro goals, removes the food analysis feature, and includes advertising.
For paid plans, Cronometer Gold runs $9.99/month or $49.99/year. MyFitnessPal Premium costs $19.99/month or $79.99/year — about 60% more on an annual basis. The premium features unlocked by MFP’s paid plan (ad removal, advanced food analysis, workout integration) are solid, but the price gap is hard to justify unless you specifically need MFP’s larger food database or its deeper fitness app integrations.
If neither app’s AI accuracy meets your needs — and for many users eating complex or international meals, 65–71% photo recognition won’t cut it — the gap between these two and the current benchmark leader is worth knowing about. Welling scores 95.6% identification accuracy and ±1.2% portion MAPE: categorically different performance at a similar price point.