Hevy vs Fitbod (2026): One Costs 6x More — Is It Worth It?

Hevy is a workout logger you bring your own program to — from $2.99/month, or $74.99 once for lifetime access.¹ Fitbod is a workout generator that writes the program for you — $15.99/month or $95.99/year.²

That’s the whole comparison in two sentences. Everything else is detail.

Because this isn’t iPhone vs Android — two versions of the same thing. It’s a notebook vs a ghostwriter. They sit on the same App Store shelf, but they’re different product categories that happen to both involve sets and reps.

One more thing before we start: the top-ranking “Hevy vs Fitbod” comparison on Google is written by Fitbod. It’s titled “9 Reasons Fitbod Beats Hevy.”³ You can guess the verdict. This one isn’t written by either company, so we can afford to be honest about both — including the verified 2026 pricing, the 5-year cost math that neither app puts side by side, and the one thing neither app’s marketing mentions.

Hevy vs Fitbod at a Glance (2026)

	Hevy	Fitbod
What it is	Manual logger + social feed + rule-based Trainer add-on	Algorithmic workout generator with logging attached
Monthly price	$2.991 (Pro)	$15.992
Annual price	$23.991	$95.992 (~$8/mo effective)
Lifetime	$74.991	None
Free tier	Yes — unlimited logging forever, capped extras	No — 7-day trial, auto-renews
Workout generation	Hevy Trainer4 (Pro, Feb 2026, rule-based)	Core feature — ML on your logged history5
Reads HRV/sleep/wearable recovery	No	No — internal muscle-freshness model only5
Exercise library	~400+6	1,600+ with video demos, per Fitbod3
App Store rating	4.9/5 from 80,000+ ratings1	4.8/5 from 278K ratings, Apple Editors’ Choice7
Platforms	iOS, Android, Apple Watch, Wear OS, web	iOS, Android; Apple Watch logging only
Our review score	8.0/10	7.5/10

Read that table top to bottom and the shape of the decision is already visible: Hevy wins on price, platforms, and free tier; Fitbod wins on generation and library depth; and neither one can see your recovery. The scores come from our full Hevy review and Fitbod review — the rest of this article is why those numbers land where they do, and which app deserves your money specifically.

What Hevy Actually Is

Hevy is the gym notebook, perfected.

Its core job is frictionless self-monitoring: build routines, log set by set with last session’s numbers pre-filled, let the rest timer run itself. That sounds mundane until you remember what the research says about recording behavior — decades of self-monitoring studies, most famously in weight management, find that regularly recording a behavior is consistently associated with successfully changing it.⁸ An app that removes every excuse not to log your training is quietly a high-leverage tool.

The logging flow itself is where Hevy earns its ratings. Last session’s weight and reps pre-fill each set, supersets and drop sets log natively instead of feeling bolted on, and the rest timer fires on its own. The app disappears into the workout — the highest compliment a logger can earn.

On top of the notebook sits a social feed. Follow your friends, see their PRs, let being seen keep you consistent — or fold the whole layer away and use Hevy as a private journal. It’s optional, which is the right call.

The scale claims depend on who’s counting: “over 10 million users” per Hevy’s App Store description, “14+ million athletes” per hevyapp.com.¹⁹ Either way, the ratings are hard to argue with — 4.9/5 across 80,000+ App Store reviews.¹ The app comes from Hevy Studios S.L., a Barcelona company that launched it in 2019, and it runs everywhere: iOS, Android, Apple Watch, Wear OS, and the web, with true feature parity — rare in a category where Android is usually the neglected sibling.

The exercise database is a library of roughly 400 exercises⁶ — enough for almost any program, though far smaller than Fitbod’s.

Then there’s the new part. In February 2026, Hevy shipped Hevy Trainer, a Pro-only feature that generates a program from your goal, experience, and equipment, then progresses it by rule: hit the top of the prescribed rep range and next session’s weight bumps up.⁴¹⁰

Be clear about what that is. It’s a progression rule — a thermostat, not a conversation. There’s no chat, no language model, no reasoning you can interrogate. Hevy, to its credit, doesn’t pretend otherwise.

What Fitbod Actually Is

Fitbod starts where Hevy stops: it writes the workout for you.

Tell it your equipment and your goal, and it generates today’s session — exercises, sets, reps, working weights, in plate-friendly numbers. Skip a day, switch gyms, land in a hotel with two dumbbells, and it re-routes. If Hevy is the notebook, Fitbod is the ghostwriter.

The engine is rules-based machine learning trained on your logged history — not an LLM, and there’s no conversation. It’s worth pinning that distinction down once, because “AI” gets stretched across both: apps like SensAI use an actual language model that reasons about your training, while Fitbod’s engine is statistical pattern-matching on workout logs — different technologies, and the difference matters later in this comparison.

The scale of that pattern-matching is Fitbod’s favorite talking point. Its algorithm page currently claims the engine is trained on 400 million+ logged workouts, and it maintains per-muscle recovery scores — a 0–100% freshness estimate for each muscle group that decides what you train today.⁵ Remember those percentages. We’re coming back to them.

There’s also a cold-start clause in the fine print: Fitbod says the algorithm needs “a few weeks of consistent use” before its model of you sharpens.⁵ Your first weeks run on a largely generic engine.

None of this is a takedown. Fitbod’s strengths are real: more than 1,600 exercises with HD demo videos, per Fitbod’s own comparison post,³ an Apple Editors’ Choice badge, a 4.8/5 rating across 278K reviews,⁷ and Garage Gym Reviews named it the Best AI Workout App of 2026.¹¹

And the training it prescribes is defensible science. Dr. Brad Schoenfeld, PhD, CSCS, professor of exercise science at Lehman College CUNY, showed in his re-examination of the repetition continuum that muscle growth can be driven across a wide range of loading zones, provided sets are pushed close to failure.¹² Which cuts both ways: it validates Fitbod’s varied rep schemes, and it also means the rep-precision a generator sells is less magical than it sounds. A wide range of prescriptions would have worked.

How Much Does Fitbod Cost in 2026?

Fitbod costs $15.99/month or $95.99/year (about $8/month effective) as of July 2026.²

That’s after a price hike — the previous tiers were $12.99/month and $79.99/year.⁷

If you’re going to subscribe at all, the annual plan is the only sane tier: twelve months at the monthly rate totals $191.88, roughly double the annual price for the identical product. The monthly plan exists to be a trial extension, not a way to actually own the app.

And say this part plainly, because Fitbod doesn’t lead with it: the 7-day free trial auto-renews. Forget to cancel by day seven and you’ve bought a subscription.

Is Fitbod Free?

No — Fitbod has no free tier; only a 7-day trial that auto-renews into a paid subscription.²

Hevy, by contrast, offers unlimited workout logging free, forever. You’ll still find third-party articles claiming Fitbod gives you “3 free workouts” — that’s an outdated description of an older model, not how the app works in 2026.

What Does Hevy Cost in 2026?

Hevy is free for unlimited workout logging; Hevy Pro costs $2.99/month, $23.99/year, or $74.99 once for lifetime access.¹⁹

The free-tier fine print, honestly stated:

• Unlimited logging, forever. No trial clock, no workout cap.
• Caps on the extras: 4 routines, 7 custom exercises, and graph history that only looks back 3 months.⁶
• CSV export is free — your training history is never hostage to a subscription.

The lifetime math takes one division: $74.99 ÷ $23.99 ≈ 3.1 years to break even versus paying annually. After that, the meter simply stops.

One caveat if generation is what you’re after: Hevy Trainer requires Pro. The free tier is a notebook, full stop.

The 5-Year Cost Math

Here’s the table neither app will show you.

	Hevy Pro (lifetime)	Fitbod (annual)	Fitbod (monthly)
Year 1	$74.99	$95.99	$191.88
Year 3	$74.99	$287.97	$575.64
Year 5	$74.99	$479.95	$959.40

The arithmetic is simple: Hevy’s lifetime is $74.99 once. Fitbod annual is $95.99 × 5 = $479.95 over five years. Fitbod monthly is $15.99 × 12 = $191.88 a year, × 5 = $959.40.

Two readouts jump off that table:

Five years of Fitbod on the annual plan costs 6.4x Hevy’s lifetime price ($479.95 ÷ $74.99 ≈ 6.4).

A single year of Fitbod at the monthly rate ($191.88) costs more than owning Hevy forever ($74.99).

One footnote on the Hevy column: a lifetime license is a bet on the app’s longevity and on your own loyalty. The breakeven against Hevy’s annual plan is about 3.1 years, so the $74.99 figure assumes you’re still logging there in 2029. If you’re app-restless, price Hevy at $23.99/year instead — the five-year total becomes $119.95, and Fitbod annual is still 4x that.

Now the fairness clause, because the gap isn’t automatically damning. Fitbod is charging for a service — it programs your training, continuously. Hevy is charging for a tool — it records the training you programmed. If the generation is genuinely what you’re paying for, a service costing 6x a tool is rational. Plenty of people pay far more than $96/year for programming.

Which turns the whole comparison into one question: how good is the programming, really? That’s next. (For the full cross-app price landscape, see our fitness app pricing breakdown.)

Who Programs You Better — the Algorithm or You?

This is the real question hiding under the price tags. What does good programming even require?

Less than the apps imply. The evidence says the pillars are progressive overload and adequate volume, applied consistently. Schoenfeld’s dose-response meta-analysis put numbers on the volume side: each additional weekly set per muscle added about 0.37% to muscle-growth gains, and higher-volume programs beat lower-volume ones by 3.9% overall — a graded dose-response relationship.¹³ Do enough hard sets, add weight or reps over time, repeat for months. That’s the spec.

Fitbod’s honest case: you never stand at the rack without a plan. The session is always there, balanced across muscle groups, adjusted to your equipment, with built-in variety. For a novice who doesn’t know what “enough hard sets” looks like, that’s a genuine upgrade over improvising — the algorithm will not let you bench three days a week and skip legs for a month, which is exactly the mistake self-programmed beginners make.

What Fitbod can’t do: adjust to the day you’re actually having. Its freshness model is computed from your logs — it has no idea you slept four hours or that your HRV cratered. The research term for what’s missing is autoregulation. Dr. Eric Helms, PhD, CSCS, a senior research fellow at Auckland University of Technology, demonstrated that lifters can effectively autoregulate training volume using RPE-based stops — an approach whose entire point is absorbing the day-to-day readiness variability that fixed prescriptions pretend doesn’t exist.¹⁴ An algorithm that only reads yesterday’s sets can’t do this.

And that gap — between reading yesterday’s logs and knowing how you feel today — is exactly where conversational coaching lives: SensAI takes “I’m wrecked, cut today’s volume” mid-workout, in plain language, and rebuilds the session on the spot.

Hevy’s honest case is subtler: autonomy. When you run your own program, you understand it, you own it, and ownership is not a soft factor. A meta-analysis led by Ntoumanis found that interventions supporting autonomy — meaningful choice, understanding the why — produce lasting improvements in motivation and health behavior.¹⁵ And since adherence, not program elegance, is what actually decides long-term outcomes — an umbrella review by Collado-Mateo identified enjoyment, progress monitoring, and fit with daily life among the key drivers of sticking with exercise¹⁶ — the mechanisms matter. Hevy’s are ownership plus social accountability. Fitbod’s is decision-relief.

Notice that neither mechanism is about programming quality per se. Fitbod’s sessions aren’t dramatically smarter than a good template, and your self-written program isn’t dramatically dumber than the algorithm’s — the science tolerates a wide band of “good enough.” What differs is which app you’ll still be using in month six.

The pattern across both apps’ communities is consistent, and our testing agrees: Fitbod if you want the app to think for you, Hevy if you already have a plan.

That’s the right frame. But both camps are missing the same input.

The Recovery Blind Spot Both Apps Share

Fitbod’s muscle recovery percentages look like biometric data. They aren’t.

That 68%-recovered hamstring reading is computed entirely from your logged sets — volume, time since training, muscle overlap.⁵ It’s a model of your workout history, not of your body. Sleep five hours, fight a cold, sit through a brutal work week: the percentage doesn’t move, because nothing you didn’t type in exists.

Play the failure case forward to see why the distinction bites. You train legs Monday, then sleep badly for three nights. Thursday morning, Fitbod’s model says your quads are fresh — by its arithmetic, they are — and prescribes heavy squats. The model isn’t wrong about your logbook. It’s wrong about you.

Hevy at least doesn’t pretend. It has zero recovery inputs and claims none — Trainer bumps weight on rep rules alone.

Why does this matter? Because the signal both apps ignore is measurably useful. A meta-analysis by Düking and colleagues found that HRV-guided endurance training — adjusting hard days based on heart rate variability — outperformed predefined plans on submaximal physiological gains, with fewer non-responders.¹⁷ Vesterinen’s group showed the same direction a decade ago: HRV-timed training beat rigid weekly programming.¹⁸ The effect isn’t magic, but it’s real, and it points one way — training that reads the body beats training that ignores it.

And the sensor is already on your wrist. Roughly one in five US adults wore a smartwatch or fitness tracker per Pew’s survey — published January 2020, before the current wearable boom.¹⁹ Every one of those devices emits exactly the readiness signal that neither Hevy nor Fitbod reads.

That’s why this comparison has a third category lurking behind it: LLM coaching built on wearable data. SensAI reads HRV, sleep, and readiness from Apple Watch — and from Garmin, Oura, and WHOOP via Apple HealthKit — and regenerates your week from both sides of the ledger: what you lifted and how you recovered. Where Fitbod models your logs and Hevy records them, a coach in this category treats your body’s data as the primary input.

That’s a different product for a different problem — our SensAI review covers what it looks like in practice. For deciding between Hevy and Fitbod specifically, the takeaway is simpler: whichever you pick, know that “recovery” in these apps means arithmetic on your logbook, not your physiology.

Verdict: Hevy or Fitbod?

Hevy if you write your own program; Fitbod if you want the app to write it for you. Here’s how that splits by lifter type.

Choose Hevy if you write your own program

Hevy is the best workout logger you can buy in 2026 — 8.0/10. The free tier is genuinely usable forever, Pro is the cheapest in the category, and $74.99-once beats every subscription in this article over any horizon past year one. If you know what you’re doing on the gym floor, the notebook is all you need — full reasoning in our Hevy review.

Choose Fitbod if you want the app to decide

Fitbod is the best workout generator on the App Store — 7.5/10 — and worth $95.99/year for the decision-relief segment. If staring at a blank program is what’s kept you inconsistent, paying 6x more than a logger to never face that blank page is a rational trade. Just buy it knowing what it is: ML on your logs, not a coach. Our Fitbod review has the full breakdown.

If you’re a beginner

It splits on whether you want to learn programming or outsource it. If you have no program and no interest in acquiring one, Fitbod’s generated sessions will keep you moving safely. If you’d rather understand your training from day one, Hevy plus a proven beginner template — like the one in our beginner gym workout plan — is cheaper and teaches you more.

If you’re coming from Strong or another logger

Hevy is the like-for-like move. Same category, better free tier, cheaper Pro, and platform parity Strong never delivered. Switching to Fitbod would be changing product categories, not apps — our Hevy vs Strong head-to-head covers the logger-to-logger migration.

If you want training that reads your recovery

Neither. This is the honest answer, not a dodge: Hevy reads no recovery data and says so; Fitbod’s recovery percentages are computed from your logs, not your body. If the thing you actually want is programming that responds to your HRV, your sleep, and how you say you feel today, that’s the LLM-coaching category SensAI occupies — a different product solving a different problem than either app in this comparison.

FAQ

Is Fitbod free?

No — Fitbod has no free tier. It offers a 7-day free trial that auto-renews into a paid subscription ($15.99/month or $95.99/year) unless you cancel before it ends.² Older third-party claims about “3 free workouts” no longer describe the 2026 product. If you want to try it risk-free, set a cancellation reminder on day six.

Is Hevy really free?

Yes — Hevy’s free tier includes unlimited workout logging with no time limit.¹⁹ The caps sit on the extras: 4 routines, 7 custom exercises, and 3 months of graph history. A lifter on a fixed split may never need to pay. Pro ($2.99/month, $23.99/year, or $74.99 lifetime) lifts the caps and adds Hevy Trainer.

Does Fitbod track recovery?

Not from your body. Fitbod’s per-muscle recovery percentages are calculated from your logged workout history — sets, volume, and time since training — not from HRV, sleep, or any wearable signal.⁵ Apps in the recovery-aware coaching category, like SensAI, pull HRV and sleep from your wearable; Fitbod’s model never sees that data.

Can Hevy generate workouts like Fitbod?

Partly. Since February 2026, Hevy Trainer (Pro-only) generates a program from your goal, experience, and equipment, then progresses loads by rule when you hit the top of a rep range.⁴¹⁰ It’s simpler than Fitbod’s engine — no equipment-aware daily regeneration, no per-muscle freshness model. Think template-plus-progression, not a session written fresh each day.

Can I export my data if I switch?

With Hevy, yes — CSV export of your full training history is included even on the free tier, so leaving is painless. That matters more than it seems: export is the feature that keeps every other feature honest. Whatever app you commit to, confirm you can walk away with your data before you build years of history in it.

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References

Footnotes

1. Apple App Store. “Hevy - Workout Tracker Gym Log.” Hevy Studios S.L., App Store listing (id1458862350), accessed July 2026. https://apps.apple.com/us/app/hevy-workout-tracker-gym-log/id1458862350 ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶ ↩⁷ ↩⁸ ↩⁹

2. Fitbod, Inc. “Frequently Asked Questions.” Fitbod.me, accessed July 2026. https://fitbod.me/faqs/ ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶

3. Fitbod, Inc. “Fitbod vs Hevy: 9 Reasons Fitbod Beats Hevy.” Fitbod.me, accessed July 2026. https://fitbod.me/blog/fitbod-vs-hevy-9-reasons-fitbod-beats-hevy/ ↩ ↩² ↩³

4. Hevy Studios. “Hevy Trainer: Adaptive Strength Programming System.” Hevy, accessed July 2026. https://hevyapp.com/features/workout-plan-generator/ ↩ ↩² ↩³

5. Fitbod, Inc. “How Fitbod Generates Your Personalized Workouts: Meet the Fitbod Algorithm.” Fitbod.me, accessed July 2026. https://fitbod.me/blog/fitbod-algorithm/ ↩ ↩² ↩³ ↩⁴ ↩⁵ ↩⁶

6. Hevy Help Centre. “Hevy Exercise Library: 400+ Exercises and Custom Exercises.” Hevy Studios, accessed July 2026. https://help.hevyapp.com/hc/en-us/articles/35688251991575-Hevy-Exercise-Library-400-Exercises-and-Custom-Exercises ↩ ↩² ↩³

7. Apple App Store. “Fitbod: Gym & Fitness Planner.” Fitbod, Inc., App Store listing (id1041517543), accessed July 2026. https://apps.apple.com/us/app/fitbod-gym-fitness-planner/id1041517543 ↩ ↩² ↩³

8. Burke LE, Wang J, Sevick MA. “Self-monitoring in weight loss: a systematic review of the literature.” Journal of the American Dietetic Association, 2011;111(1):92-102. PMID: 21185970. https://pubmed.ncbi.nlm.nih.gov/21185970/ ↩

9. Hevy Studios. “The #1 Workout Tracker & Gym Logger App.” Hevy, accessed July 2026. https://hevyapp.com ↩ ↩² ↩³

10. Hevy Studios. “Announcing Hevy Trainer.” Hevy, February 2026. https://www.hevyapp.com/announcing-hevy-trainer/ ↩ ↩²

11. Garage Gym Reviews. “The Best Workout Apps of 2026: More Than 70 Tested by Personal Trainers.” GarageGymReviews.com, 2026. https://www.garagegymreviews.com/best-workout-apps ↩

12. Schoenfeld BJ, Grgic J, Van Every DW, Plotkin DL. “Loading Recommendations for Muscle Strength, Hypertrophy, and Local Endurance: A Re-Examination of the Repetition Continuum.” Sports (Basel), 2021;9(2):32. PMID: 33671664. https://pubmed.ncbi.nlm.nih.gov/33671664/ ↩

13. Schoenfeld BJ, Ogborn D, Krieger JW. “Dose-response relationship between weekly resistance training volume and increases in muscle mass: A systematic review and meta-analysis.” Journal of Sports Sciences, 2017;35(11):1073-1082. PMID: 27433992. https://pubmed.ncbi.nlm.nih.gov/27433992/ ↩

14. Helms ER, Cross MR, Brown SR, Storey A, Cronin J, Zourdos MC. “Rating of Perceived Exertion as a Method of Volume Autoregulation Within a Periodized Program.” Journal of Strength and Conditioning Research, 2018;32(6):1627-1636. PMID: 29786623. https://pubmed.ncbi.nlm.nih.gov/29786623/ ↩

15. Ntoumanis N, Ng JYY, Prestwich A, Quested E, Hancox JE, Thøgersen-Ntoumani C, Deci EL, Ryan RM, Lonsdale C, Williams GC. “A meta-analysis of self-determination theory-informed intervention studies in the health domain: effects on motivation, health behavior, physical, and psychological health.” Health Psychology Review, 2021;15(2):214-244. PMID: 31983293. https://pubmed.ncbi.nlm.nih.gov/31983293/ ↩

16. Collado-Mateo D, Lavín-Pérez AM, Peñacoba C, Del Coso J, Leyton-Román M, Luque-Casado A, Gasque P, Fernández-Del-Olmo MÁ, Amado-Alonso D. “Key Factors Associated with Adherence to Physical Exercise in Patients with Chronic Diseases and Older Adults: An Umbrella Review.” International Journal of Environmental Research and Public Health, 2021;18(4):2023. PMID: 33669679. https://pubmed.ncbi.nlm.nih.gov/33669679/ ↩

17. Düking P, Zinner C, Trabelsi K, Reed JL, Holmberg HC, Kunz P, Sperlich B. “Monitoring and adapting endurance training on the basis of heart rate variability monitored by wearable technologies: A systematic review with meta-analysis.” Journal of Science and Medicine in Sport, 2021;24(11):1180-1192. PMID: 34489178. https://pubmed.ncbi.nlm.nih.gov/34489178/ ↩

18. Vesterinen V, Nummela A, Heikura I, Laine T, Hynynen E, Botella J, Häkkinen K. “Individual Endurance Training Prescription with Heart Rate Variability.” Medicine and Science in Sports and Exercise, 2016;48(7):1347-1354. PMID: 26909534. https://pubmed.ncbi.nlm.nih.gov/26909534/ ↩

19. Pew Research Center. “About one-in-five Americans use a smart watch or fitness tracker.” Pew Research Center, January 9, 2020. https://www.pewresearch.org/short-reads/2020/01/09/about-one-in-five-americans-use-a-smart-watch-or-fitness-tracker/ ↩