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Guide

Google Interview Warmup Is Gone — Verified Alternatives as of July 2026

Updated 2026-07-28

Google Interview Warmup is no longer available. Google quietly retired the free practice tool in April 2026, with no formal shutdown announcement — the official page now serves a general interview-preparation guide that points job seekers to Gemini instead. If Warmup was your low-stakes place to practice answers out loud, you need a replacement, and the honest news is that no single tool slots exactly into the hole it left.

What made Warmup popular was simple: it was free, ran in the browser without a login, and let you speak answers to common interview questions while it transcribed them and highlighted patterns in your talking points. Launched in 2022 as part of Grow with Google, it was built for Career Certificate students but ended up as the default first practice tool for everyone. That loop — answer out loud, get immediate feedback — is the benchmark for any replacement.

This guide sorts the alternatives into four models: free peer matching (Exponent Practice, formerly Pramp), subscription AI (Huru, Final Round AI), human mock interviews (interviewing.io), and pay-per-interview AI (Preterview). Every price and feature below was checked directly against the service's own pages or recent independent reviews in July 2026 — nothing here is guessed.

What happened to Google Interview Warmup?

Google retired Interview Warmup in April 2026. There was no formal announcement; the tool was quietly taken down. As of July 2026, the old Interview Warmup address on grow.google no longer offers the practice tool — it shows a general interview-preparation guide instead, and that guide recommends practicing with Gemini Live for real-time conversational interview rehearsal.

Warmup launched in 2022 under the Grow with Google program. It was originally built to help Google Career Certificate learners practice answering common interview questions, but because it was free and required no account, it spread far beyond that audience.

Don't plan around it coming back. The tool has been removed from Google's active products, and Google's own guidance now points to Gemini. The practical move is to identify which part of Warmup you actually used — the out-loud practice, the transcription, the pattern feedback — and pick a replacement on that basis.

What should a replacement actually give you?

A replacement needs to cover the two things Warmup did — speaking out loud and getting immediate feedback — and ideally the things it never did. Warmup transcribed your answers and surfaced patterns, but it never scored you, never asked follow-up questions that dug into your answer, and its question bank was generic rather than tied to your role. Losing it is a chance to upgrade, not just to substitute.

Three checks matter when you evaluate a candidate tool. First, does it make you answer by voice? Typing out answers builds a different skill from saying them. Second, is the feedback structured — filler words, whether you led with the point, answer length — rather than a vague paragraph of encouragement? Third, do the questions come from your resume or the actual job post, not a generic list?

Know the cost spectrum before you choose. As of July 2026 it runs from free (peer matching, general-purpose AI chatbots) through subscriptions at roughly $25-149 per month, up to human mock interviews at $179-339 per session. Matching the tool to your actual timeline — how many weeks of job hunting, how many real interviews booked — is what keeps you from overpaying.

Free options: Exponent Practice (formerly Pramp) and Gemini

Pramp still exists and is still free — it now runs as Exponent Practice. Since July 2024, all sessions are hosted on the Exponent platform. The model is peer matching: you're paired with another job seeker based on availability, experience, practice topics, and target companies, then run a 30-45 minute video mock interview, swap roles so you interview them too, and exchange feedback. A collaborative coding environment is included for technical rounds.

The price of free is time and variance. You have to schedule around a stranger, half of every session is spent being the interviewer, and the quality of the feedback depends entirely on who you're matched with. What you get in exchange is something no AI provides: the mild, real pressure of performing in front of an actual person.

Google's own suggested replacement is Gemini. Practicing conversationally with Gemini Live costs nothing and loosely recreates Warmup's ask-and-answer loop. The limitation is that it's a general-purpose chatbot: there's no structured scoring or report, and the question quality and feedback format are only as good as the prompt you engineer yourself.

Subscription AI tools: Huru and Final Round AI

Subscription AI interview tools run from about $25 to $149 per month as of July 2026. The trade is volume for commitment: you get effectively unlimited practice, but the meter runs monthly whether you interview that week or not, so the math works best for long prep timelines with heavy use.

Huru charges $24.99 per month, or roughly $99 per year on the annual plan, as of July 2026. That buys unlimited video interview simulations, a question bank it advertises at over 20,000 questions, delivery coaching on vocal tone and filler words, and question generation from a specific job posting. Its free tier is a single short five-question session — enough to see the interface, not enough to prepare with.

Final Round AI is best known for its real-time Interview Copilot alongside AI mock interviews. Its own site advertises paid plans starting at $25 per month, while independent reviews verified in June-July 2026 put the month-to-month plan at $149, dropping to an effective ~$42 per month on annual billing. Its plans change often, so check the official pricing page before paying. Unless you'll use it several times a week for months, the subscription is hard to justify against per-use options.

Human mock interviews: interviewing.io

interviewing.io sells anonymous mock interviews with working engineers, priced per session from about $179 as of July 2026. Requesting an interviewer from a specific company runs roughly $225-300 per session, FAANG-branded sessions reach $339, and a three-session coaching package sits around $2,000. If a session disappoints, their policy is to refund it.

What that money buys is judgment, not just practice. Your interviewer is a senior engineer who has actually run hiring loops, improvises follow-up questions in real time, and evaluates you against a real hiring bar — the pressure and depth that AI tools still can't reproduce.

At well over $150 per session, this is not a repetition tool. It makes sense as a final check before a high-stakes onsite — big-tech final rounds, senior roles — after you've done the cheap repetitions elsewhere. Pairing one or two human sessions with a free or low-cost tool for daily reps is the realistic budget.

Pay-per-interview AI: Preterview

Preterview sells interviews individually instead of by subscription: $6.99 for a single interview, $19.99 for a five-pack ($4.00 each), and $49.99 for a twenty-pack ($2.50 each), each valid for 90 days, as of July 2026. Sign-up includes one free interview, unused passes are fully refundable within 7 days of payment, and there's no auto-renewal — nothing keeps charging you after the job hunt ends.

The interview itself goes further than Warmup did. Three AI interviewers read your resume, portfolio, and the job post, ask questions by voice, and follow up on your spoken answers for up to 24 Q&A turns. Each interview ends in a report: an overall 0-100 verdict, a five-dimension competency radar, delivery analysis covering pace and filler words, and answer-by-answer feedback with suggested improvements.

The honest caveats: Preterview is a small, young service. There's no user community or peer network, no human-interviewer option, and it supports only English and Korean. It runs in the browser and works best in Chrome. It fits the Warmup habit — short, low-stakes, repeatable practice — while adding the structured scoring Warmup never had; if you want a huge question bank or a community, one of the other categories serves you better.

Key takeaways

  • Google Interview Warmup was quietly retired in April 2026 and shows no sign of returning. Google's official guidance now points to Gemini.
  • The all-free path is Exponent Practice (formerly Pramp) peer mocks plus Gemini prompting — you pay in scheduling time and setup effort instead of money.
  • Subscription AI tools ($25-149/month as of July 2026) only pay off across months of frequent use; for a short job hunt they're easy to overpay for.
  • Split by stakes: human mock interviews ($179-339 per session) for high-stakes final rounds, pay-per-interview AI ($2.50-6.99 per interview) for repetitions.
  • Choose by timeline, not by feature list — how many weeks you have and how many real interviews are booked decides which model fits.

Frequently asked questions

Is Google Interview Warmup coming back?

There's no sign of it. Since the April 2026 retirement, the official page serves a general interview-prep guide and Google's guidance points to Gemini. Planning around a return isn't realistic — pick a replacement.

What does Google recommend instead of Interview Warmup?

Gemini. The guide that replaced Warmup's page suggests practicing conversationally with Gemini Live. It's free, but as a general-purpose chatbot it gives no structured scoring or report unless you engineer that yourself.

Is Pramp still free in 2026?

Yes. Since July 2024 it operates as Exponent Practice on the Exponent platform, and peer mock interviews remain free as of July 2026. The cost is non-monetary: scheduling with a partner and interviewing them in return.

What's the cheapest replacement for Interview Warmup?

Completely free: Exponent Practice plus Gemini. If you want structured voice practice with a report, the low-cost paid options as of July 2026 are per-interview passes at $2.50-6.99 (Preterview) or Huru's roughly $99-per-year annual plan.

Are AI mock interviews as good as practicing with a person?

They do different jobs. AI is stronger for repetition and form feedback — structure, filler words, answer length — while a person brings real pressure, improvised follow-ups, and hiring judgment. Drill with AI, then add a human round before interviews that matter.

Which alternative is best for behavioral interview practice?

Any voice-based option works for the core loop. AI tools suit STAR-structure repetition, peer or human mocks add the pressure element, and if your Warmup habit was short frequent sessions, pay-per-interview pricing matches that pattern with the least waste.