Interview Questions

Interviewing.io vs Pramp in 2026: what each one costs, and what 226 published replays say about the grading

Uma Mahesh Bandaru Uma Mahesh Bandaru August 24, 2026 9 min read
Interviewing.io vs Pramp in 2026: what each one costs, and what 226 published replays say about the grading

On 3 November 2025 interviewing.io’s FAQ said its mock interviews start at $225. In the 1 December snapshot of that same page the number reads $179, and $179 is what the live FAQ still said when I pulled it on 20 August 2026. Then I opened the six pages ranking for interviewing.io vs pramp and checked what they tell a reader to budget. Three of them still print $225. One has $179. Zero of the six link out to interviewing.io’s FAQ or to any page on tryexponent.com, which is how a nine-month-old price survives on three of them.

Every price below carries a link to the vendor page it came from and the date I pulled it. Disclosure while we’re here: LastRound AI sells interview help, so treat this interviewing.io vs Pramp writeup as one made by an interested party who left the receipts attached.

Pramp still exists. It just isn’t where the interviews happen.

pramp.com returned HTTP 200 to me on 20 August 2026 with zero redirects. The tab still reads “Practice Mock Interviews & Coding Problems – Land Top Jobs | Pramp”. Across the top of the homepage sits a banner: “As of July 2024, all new Pramp sessions are hosted on Exponent Practice. It’s still free and even better.”

So Pramp is not shut down, and it does not bounce you anywhere. The change is narrower than that. The brand kept its marketing site and handed the sessions to Exponent, whose practice FAQ says it in four words: “Pramp is now Exponent.” Which means any 2026 sentence starting “Pramp gives you” is really a sentence about Exponent Practice, and Exponent’s terms are not Pramp’s old terms. That distinction is where most of the wrong numbers come from.

What does an interviewing.io vs Pramp session cost in 2026?

interviewing.io charges from $179 per human mock interview. Its FAQ adds that “the price varies depending on the subject matter and whether you want an interviewer from a specific company”, so $179 is a floor and the ceiling is not published. Exponent Practice, the Pramp successor, is free with a monthly credit cap, and Exponent’s membership price appears on no page a crawler can reach.

interviewing.io Exponent Practice (was Pramp)
Entry price, human session From $179 per interview (FAQ, 20 Aug 2026) Membership price not published: /upgrade returns 200 but serves no price in its HTML and /pricing 404s (both checked 20 Aug 2026)
Free option A free AI Interviewer that “simulates a FAANG-style interview” and covers coding and system design Peer mock interviews on the free tier
What limits the free tier It’s an AI, not a human; human sessions are billed per interview Monthly credits. Exponent says only that “Free users are allotted credits to practice every month”
Written feedback afterwards Included, and 226 past sessions are published in full with scores and transcripts AI feedback and transcripts are “in early access and is currently only available for Exponent members”
Refunds “If you’re unhappy with your interview(s), we’ll issue a full refund” “We offer full refunds within 5 days of purchase”, per the support FAQ

It helps to know what the credit cap is a cap on. Exponent’s support FAQ lists what a paying member gets, and the first line item after the course library is “unlimited peer mock interviews”, which is the same sentence read from the other end: peer practice is metered until you pay. Two numbers in that table refused to resolve, and they are the two the whole comparison hangs on: what an Exponent membership costs, and how many free credits you actually get. Exponent’s own nav links “Pricing” to /upgrade, and /upgrade renders its plans client-side, so a fetch of the URL comes back with no currency string in it at all. The widely repeated “5 free credits per month” figure traces to review blogs rather than to Exponent. Final Round AI’s Pramp review states it plainly and links nothing. I could have copied it. I’d rather leave the cell empty and tell you it’s empty, because a signed-out fetch cannot see it and I don’t have a signed-in screenshot.

One more thing about the paid side that gets stated backwards. interviewing.io used to be free for engineers, funded by employers. Aline Lerner’s post explaining why they paused the Pay Later Program says hiring “basically froze when COVID-19 happened, and to survive, we started charging engineers.” The techinterview.org ranking, stamped “Updated July 13, 2026”, still lists “Real engineers from FAANG and similar; they donate time” as an interviewing.io strength and prices it as “Paid (subscription model; varies by tier)”. That is a description of a 2019 business, and the FAQ it never links prices per interview.

Anonymity is the row the comparison tables leave out

None of the six pages I opened has a line for it, and for a lot of people it decides the question on its own. interviewing.io’s FAQ: “Interviews have voice but no video, and your interviewer will not have access to any of your info.” Exponent’s: “Only your public display name will be shared with your partner”, followed by “We recommend leaving video on, but you also have the option to conduct the interview with audio only.”

Those are different products wearing the same category label. One is a stranger who cannot identify you grading you against a bar they’ve applied at Google or Stripe. The other is a named person on camera who is going to swap seats with you at the halfway mark and be graded by you in return. If you’re currently employed and rusty, and the thing keeping you from booking a mock is that someone might recognise you, that is a $179 problem with a $179 answer.

I parsed all 226 interviewing.io replays to see what the graders reward

interviewing.io publishes its past mock interviews at /mocks/, outside any signup wall, each with the question, the interviewer’s advance decision, three 1-4 rubric scores and a full transcript. I took the URL list from the sitemap declared in their robots.txt (226 replays on 20 August 2026), fetched each one at roughly one every 0.6 seconds, and pulled the labelled fields. 225 carried a full numeric rubric. The LinkedIn matching-pairs replay has the verdict but no scores.

Read the numbers with interviewing.io’s own key, from their voice-masking study: “a score of 3 or above is generally considered good.”

  • 174 of 225 interviewees were advanced, 77.3%.
  • Technical score is close to deterministic. Score a 2 and you advance 9.1% of the time (2 of 22). Score a 4 and you advance 97.1% (102 of 105).
  • Communication moves the margin, not the verdict. Hold technical at 3 or 4: with communication at 4 the advance rate is 90.2% (120 of 133), with communication at 3 it drops to 78.3% (47 of 60).
  • Talking well does not rescue you. 17 interviewees scored 3 or better on communication with a technical score of 2 or below. Two advanced.
  • Not one person in the library scored 1/4 on communication. The grade is compressed at the top: 139 fours, 71 threes, 15 twos.

I was expecting communication to be the hidden killer, and it isn’t. It’s a roughly twelve-point tax on an otherwise passing interview. That’s the honest version of the “soft skills matter” claim, and it’s smaller than I’d have guessed.

Two caveats, both real. These are replays interviewing.io chose to publish, so a 77% advance rate says more about their editorial taste than about their median session. And 10 of the 225 carry a problem-solving score of 1/4 sitting next to glowing written feedback and a Yes verdict, which reads like a default value from an older form rather than a grade. I left them in the totals and I’m flagging them because I can’t prove either reading.

Now the part that decides the peer comparison. A score like that requires a grader who has held a hiring bar. On Exponent, “For Data Structures & Algorithms, SQL, and Frontend interviews, your peer will be preassigned a coding question to ask you”, and “For all other interview types, suggested questions will be offered before and during the session.” Your partner is a job seeker with an answer key, doing you a favour for thirty minutes. That’s genuinely useful for reps, and it cannot produce the “technical 3, advance No” call that a screened interviewer makes without blinking.

If reps are what you’re short of, cheap volume between the paid sessions is the sane play, and the written scorecard shouldn’t be the part you pay extra for. That’s the slot our AI voice mock interviews fill for a lot of people here: you speak, it scores the answer against a BARS rubric, and the feedback isn’t behind a second paywall. The free tier is 15 credits a month, which reset monthly, and Starter is $19/mo. It runs on the desktop app and on mobile-compatible web, and there’s no native mobile app, so check that against how you actually practise. Spend the $179 on the human verdict. Use the cheap thing for the forty attempts that get you ready to want one.

Can you actually book a peer session this week?

Not evenly across tracks, no. Exponent’s /practice page server-renders its live scheduler, so you can read the supply straight out of the HTML. Here’s my snapshot at 13:19 IST on 20 August 2026:

Track Extra sessions this week People joined
Data Structures & Algorithms +55 105
System Design +27 74
Behavioral +27 70
Product Management +27 63
Data Science & ML (Beta) +13 29
SQL (Beta) +13 15
Frontend (Beta) +13 9

Frontend is carrying about 8.6% of the DSA track’s participation. That’s not a fluke of the hour I looked, it’s structural: Exponent’s FAQ lists Frontend sessions at “6 AM and 4 PM Pacific Time” and SQL at “8 AM and 6 PM Pacific Time”, against DSA’s “Every two hours between 8 AM and midnight, local time.” Two windows a day, in one timezone, with nine people in the pool. If you’re a frontend engineer in Europe, “free” is doing a lot of work in that sentence. Mobile is out entirely: “We don’t support mock interviewing on mobile devices.” And all three of those thin tracks are labelled Beta today, which is a thing that can be renamed or pulled, so date any table you build from this including mine.

What I’d actually do

Most interviewing.io vs Pramp writing treats these as substitutes and picks a winner. They aren’t substitutes. Book Exponent for volume and interviewing.io for verdicts, and don’t confuse the two things. The peer swap gets you comfortable saying your thinking out loud to a stranger, which is where a lot of otherwise strong candidates come apart, and it costs you a Tuesday evening rather than money. The $179 buys the one output the free tier structurally can’t hand you: someone who has rejected people for a living writing down whether they’d pass you, which is also a different skill from being good at the code.

The opinion I’ll defend and might be wrong about: for most people two graded interviewing.io sessions beat twenty peer swaps, and interviewing.io’s own research is the reason. Their re-analysis across a thousand-plus interviews found performance swings hard from session to session, so one data point tells you very little. That argument cuts against buying a single $179 mock as much as it supports buying two. It also comes from a company that sells mocks, on data from the mid-2010s. Weigh it accordingly. Then go re-check the price yourself before you pay, because the last time it moved, six pages didn’t notice for nine months.

Prices and page states in this post were pulled on 20 August 2026. We keep a separate breakdown of when a copilot beats a scheduled mock if that’s the trade-off you’re weighing. Questions or a correction: contact@lastroundai.com.

Uma Mahesh Bandaru

Written by

Uma Mahesh Bandaru