The real question isn’t which platform wins a feature checklist. It’s whether paying for either one beats the free tier of LeetCode plus a decent YouTube channel, and for a lot of candidates it doesn’t. So before you put down a card, get specific about what the money actually buys and when it stops being useful.
What LeetCode Premium actually unlocks
LeetCode’s free account already gives you the part that matters most: a few thousand real problems, the same judge many companies wire into their own screens, and a working editor with test cases. You can grind Blind 75, the Grind 75 list, or the NeetCode 150 on a free login and never hit a paywall on the problems themselves. People forget this and assume Premium is what gets you access to the problems. It isn’t.
Premium adds a thin layer on top. The feature people actually pay for is company tagging: filter problems by the firm you’re interviewing at, then sort by how often each one has come up in roughly the last six months. If you have a Google onsite in three weeks, that filter earns its keep, because it turns an ocean of problems into a ranked reading list you can finish. The rest of what Premium gates is smaller:
- Company-tagged problems, filterable by employer and sorted by recent frequency
- Official written editorials with complexity analysis on problems that free users see only community solutions for
- A handful of premium-only problems
- Some sorting and filtering that the free tier throttles
How much that’s worth depends almost entirely on timing. Company frequency data ages fast, and it peaks in value during the two to four weeks before a specific loop. Buying an annual plan eight months out, when you don’t even have interviews booked, is paying rent on data you can’t use yet. The smarter play is usually a single month, bought once the onsite is on the calendar, mined hard, then cancelled.
What you’re really buying with AlgoExpert
AlgoExpert takes the opposite bet. Instead of thousands of problems, it curates around 160 and wraps each one in a two-part video: a whiteboard-style conceptual walkthrough first, then a line-by-line implementation, in your pick of roughly nine languages. The teaching is patient and doesn’t skip the middle steps, which is exactly the part most written editorials gloss over. If you learn a pattern by watching someone reason through it out loud, that format can save you real hours of staring at a solution you don’t quite follow.
The subscription is annual only and sold in tiers. The base coding track is the cheapest; the full bundle folds in a systems design course (SystemsExpert), a machine learning track (MLExpert), and frontend material (FrontendExpert). There’s also a peer mock-interview feature that pairs you with another subscriber for a live session, one of the few places either platform tries to simulate the pressure of a real interview instead of a quiet practice run with no clock and no stranger watching.
The limits are baked into the model. The 160-problem list is static and doesn’t track new question trends, so it lags the way real interviews drift year to year. There’s no company-specific data at all. And the refund policy is famously nonexistent, so treat the purchase as final the moment you click buy. The videos are the product; if you’re the type who learns by failing on a blank editor rather than watching, you’re paying for content you’ll skim once and abandon.
The combination most serious candidates actually run
Here’s the part the marketing on both sites skips. 160 problems is not enough volume to build the speed a hard onsite demands. A FAANG or top-tier quant loop wants you recognizing the pattern in a minute and coding it cleanly in fifteen, and you get there by reps, not by watching. So the people who buy AlgoExpert and take it seriously almost always end up on LeetCode too, using AlgoExpert to learn the pattern and LeetCode’s free problem bank to drill it into muscle memory.
That means the true cost of an AlgoExpert-centered plan is the subscription plus whatever LeetCode time you were going to spend anyway, and if you also want the company tags near the end, plus a month of Premium. None of that is a reason to skip AlgoExpert. It’s a reason to be clear-eyed that the videos are a teaching supplement, not the whole prep, and to budget accordingly instead of expecting one purchase to cover everything.
As of mid-2026, LeetCode Premium runs in the neighborhood of the mid-thirties per month, or noticeably less per month if you pay for a full year up front, while AlgoExpert sells an annual-only plan that starts around a hundred dollars for the coding track and climbs toward two hundred for the full bundle. Both run sales. Check the current number on each site before you commit rather than trusting any figure in a blog post, including this one.
Where the money goes, side by side
| Factor | LeetCode Premium | AlgoExpert |
|---|---|---|
| Problem library | Thousands of problems (most free); Premium adds a small premium-only set | ~160 curated problems, fixed list |
| Primary format | Solve on a live judge, read written editorials | Two-part video (concept, then code) per problem |
| Company-tagged questions | Yes, filter by employer and sort by recent frequency | No company-specific data |
| Mock interviews | No live peer matching | Peer mock interviews with other subscribers |
| System design / ML content | Not included | Included in the full bundle (SystemsExpert, MLExpert, FrontendExpert) |
| Billing | Monthly or annual | Annual only, roughly 30% loyalty discount on renewal |
| Refunds | Monthly plan limits the downside | No refunds under any circumstance |
| Best window to buy | The 2 to 4 weeks before a named onsite | Early, while learning patterns from scratch |
The free option that undercuts both
Any comparison that ignores NeetCode is quietly selling you something. NeetCode is a free curated path, the NeetCode 150, built on top of LeetCode’s free problems and paired with a YouTube channel where the explanations are frequently tighter than AlgoExpert’s, ten to fifteen minutes against twenty to forty-five. The paid NeetCode Pro tier exists, but the free combination alone already covers most of what people reach for AlgoExpert to get: a structured order to solve problems in, and a human voice explaining why the pattern works.
So the real baseline isn’t zero. It’s free LeetCode plus NeetCode’s videos, which costs nothing and gets a motivated person surprisingly far. Every dollar you spend past that has to beat what you’d already have for free. AlgoExpert’s production polish and mock interviews can clear that bar for some people. For others, the free stack is already the ceiling of what a content platform can do for them, and the thing they’re actually missing is repetition and a mock interview or two with a real person, not another library.
Pick by your timeline and how you learn
If you have a named interview within a month, LeetCode Premium is the easier call. The company tag and frequency sort do something no amount of polished video can: point you at the exact problems that specific firm has been asking lately. Buy a single month, work the tags hard, cancel when the loop ends. Paying for a year to use one feature during a three-week sprint rarely pencils out.
If you’re early, months from any interview, and you keep bouncing off written editorials that assume you already see the trick, AlgoExpert’s video-first approach is the more defensible spend, especially if the systems design or ML tracks match the level you’re targeting. A senior backend candidate who needs to ramp on distributed systems gets more from SystemsExpert than from another hundred array-manipulation problems.
And if you’re already solid on fundamentals and just need volume and speed, don’t pay either one yet. Run free LeetCode against the NeetCode 150, put yourself on a timer, and only reach for Premium once you have a real onsite to aim at. The candidates who get the most out of these tools already know precisely which gap they’re closing before they pay. The ones who buy first and go looking for the gap afterward mostly end up with a charge on the card and the same anxiety they walked in with.
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