Best mock interview platforms in 2026, 8 compared by role

A mock interview is not one thing. The right platform for a software engineer practicing system design is different from the platform for a product manager working on product sense, which is different again from the platform for a data scientist drilling SQL window functions.

We compared eight popular mock interview platforms by role. This is what each one actually does, who it serves best, where it falls short, and what it costs in 2026. No affiliate links, no sponsored placements.

Quick picks

If you just want the answer.

Best for software engineers who want live human practice is Interviewing.io. Anonymous mock interviews with engineers from major tech companies, focused on coding and system design. Expensive per session, but the closest thing to the real interview experience.
Best all-in-one platform across roles is Four-Leaf at $20 a month. Voice-enabled AI mock interviews across 20+ role types plus the rest of the job-search pipeline.
Best for product management and tech-adjacent courses is Exponent. The strongest structured course content for PM, SWE, and data science interviews, plus peer practice.
Best for data science and analytics is Interview Query. Specialist platform with the largest data science question library and SQL-specific practice.
Best free starting point is Google Interview Warmup. No signup, no commitment, fine for the first 20 minutes.

The rest of this post breaks each one down by role.

What actually matters in a mock interview platform

Before the list, here is what we evaluated.

Role specificity. Generic interview practice produces generic improvement. The best platforms specialize in specific roles or offer role-specific question banks deep enough to actually mirror the real interview.

Live human versus AI. Live mock interviews with humans are still the gold standard for software engineering coding rounds and high-stakes preparation. AI mocks are cheaper, available on demand, and work well for behavioral and product-sense practice. Each has a place.

Feedback quality. Some platforms give scored feedback with specific examples ("your answer lacked a quantified outcome"). Others say "good job" and move on. We looked for actionable, specific feedback.

Cost per rep. A $179 live session is amazing once. A $20 a month subscription that supports 50 reps a month is a different value proposition. Neither is wrong. Both matter for different stages of preparation.

Interviewing.io

Interviewing.io connects you with engineers from companies like Google, Meta, Amazon, and Stripe for anonymous live mock interviews. The product is built around the realization that the best preparation for a coding interview is a coding interview, not a YouTube tutorial.

Sessions are priced individually rather than bundled. Per the Interviewing.io site, individual mocks start around $179 per session, with senior or company-specific interviewers running higher. Packages of multiple sessions are also available. They offer a free practice tier for matched peer interviews, but the paid tier with industry interviewers is the headline product.

The feedback is the differentiator. After each interview, you get written feedback from the interviewer scoring your performance, plus an audio recording and a transcript. Some interviewers provide hire/no-hire signals as if they were running an actual loop. That bar of feedback is hard to replicate with AI.

The limitation is cost and scope. Interviewing.io is a software engineering tool. There is some product management coverage, but coding and system design are the strongest categories. At $179 and up per session, it is an expensive way to practice frequently. Most people use it for a small number of high-stakes reps before a real interview, not as their daily practice tool.

Pricing starts around $179 per session for engineer-led mocks, with a free peer tier for unstructured practice. The fit is software engineers preparing for coding or system design interviews at major tech companies.

Four-Leaf

Four-Leaf takes the opposite approach. Voice-enabled AI mock interviews across 20+ role types, on demand, included in a flat $20 a month subscription that also covers the rest of the job-search pipeline. The interview engine asks follow-up questions, scores responses on content quality, structure, specificity, and clarity, and produces feedback you can act on before the next attempt.

Voice is the underrated piece. Speaking out loud under time pressure is a different skill than typing polished answers, and most AI tools on this list either skip voice entirely or treat it as a paid add-on. Four-Leaf treats it as the default. You hear the question, you answer out loud, the AI responds, and the loop continues for the length of a real interview round.

Role coverage spans software engineering, product management, data science, consulting, finance, marketing, design, and more. Each role uses its own question library and scoring rubric tuned to what actual interviewers ask. The PM library leans heavily on product sense and prioritization. The SWE library covers behavioral and structured technical questions. The data science library includes case-based and SQL-adjacent prompts.

Beyond mock interviews, Four-Leaf bundles resume tailoring, AI cover letter generation, AI job discovery, salary negotiation coaching, an email assistant, and a LinkedIn optimizer. The pitch is straightforward. If you are running an active search, $20 a month for everything beats stacking separate tools at $79 here, $79 there, $179 for a single live session.

The tradeoff is that Four-Leaf does not connect you with live humans. If you need an actual engineer from Google to grade your system design answer, that is Interviewing.io. If you need 50 voice-based reps a month across multiple role types with specific feedback, this is the pitch.

(Quick disclosure. This is our product. We included it because leaving it out of a comparison we wrote would be weirder than putting it in. Same format as every other entry.)

Pricing is $20 a month with a 7-day free trial, and all features are included. The fit is active job seekers who want unlimited voice mock interviews across roles, plus resume, cover letters, and job search in one tool.

Exponent (formerly Pramp)

Exponent built its reputation on peer mock interviews for software engineering, then expanded into product management, data science, and engineering management. The platform combines AI practice with peer matching, structured video courses, and curated question libraries pulled from real interviews at major tech companies.

The course content is genuinely strong. If you are preparing for a PM round at a tech company, Exponent's frameworks, example answers, and breakdowns of the canonical question types are some of the best available anywhere. Same with the SWE system design course. The peer interview matching is unique to Exponent. You schedule a session, get matched with another candidate, and run a mock interview in both directions.

Per Exponent's pricing page, the monthly plan runs around $79 a month. The annual plan brings the effective rate down significantly, especially during their periodic promo windows. A free tier covers sample lessons and a limited number of peer mocks per month.

The limitation is breadth. Exponent is a tech-and-PM tool. If you are preparing for marketing, sales, finance, or general corporate roles, the libraries thin out fast. For tech and PM specifically, the depth is hard to beat.

Pricing is around $79 a month, with annual plans reducing the effective rate. The fit is PM, SWE, and data science candidates at tech companies who want structured courses plus peer practice.

Interview Query

Interview Query specializes in data science and analytics interviews. The question library is the largest in the category for data science specifically, with thousands of real questions from companies like Meta, Amazon, Airbnb, Microsoft, and Stripe. Categories span SQL, statistics, machine learning, product analytics, A/B testing, and case studies.

The product includes AI mock interviews tuned for data science formats, written question practice, SQL practice with a built-in editor, and structured learning paths. Per the Interview Query pricing page, monthly access runs around $79 a month, with annual and lifetime options for users who expect a longer prep window.

For data science candidates, Interview Query is the strongest specialist on this list. The SQL practice alone justifies the price for anyone preparing for an analytics role with SQL screens. The case study library covers product sense from a data lens, which most other platforms treat as an afterthought.

The limitation is scope. Interview Query is data science only. If your interview loop includes behavioral rounds, system design, or general PM questions outside the data lens, you will need a complementary tool.

Pricing is around $79 a month at the monthly rate, with annual and lifetime plans for committed users. The fit is data science, analytics, and quantitative candidates preparing for technical screens with SQL or statistics components.

Final Round AI

Final Round AI is the most established name in dedicated AI interview prep. The flagship product is the interview simulator, with adaptive follow-up questions, video-based practice, and feedback after each session. The newer interview copilot feature provides real-time guidance during live interviews, which is polarizing in the industry but has driven their growth.

The question database is large (the company claims 10,000+) and covers behavioral, technical, and case categories across software engineering, consulting, finance, and more. The mock interview experience is sophisticated and the AI follow-up logic is among the best in the category for adaptive question flow.

Pricing per the Final Round AI site has shifted in 2026. The monthly plan runs around $148 to $149 a month, with quarterly and yearly plans bringing the effective rate down. The yearly plan in particular drops the effective monthly cost meaningfully for anyone willing to commit. A free trial covers limited features and short Interview Copilot sessions. Final Round AI also offers a 10% discount for students, veterans, first responders, and recently laid-off candidates.

Pricing runs around $148 a month month-to-month, with the yearly plan reducing the effective rate substantially. The fit is candidates focused primarily on interview practice who want the most established dedicated tool and can commit annually.

Big Interview

Big Interview combines video lessons from a former hiring manager with AI-powered mock interviews. The structured curriculum covers behavioral, situational, case, and industry-specific questions across a wide range of roles. The PracticeAI feature uses your resume or job description to personalize the question set.

The strength is the educational content. Big Interview produces some of the best video training in the category, with structured modules that walk through how to answer common questions step by step. For someone who needs to learn the fundamentals before practicing them, the content is genuinely useful.

Pricing at full retail is around $79 a month, which is steep relative to AI-only alternatives. The redeeming detail is that many universities and career centers have institutional licenses that make Big Interview free for students. If your school offers it, use it. At full retail without the institutional discount, the value proposition gets harder to justify.

Pricing is around $79 a month at retail, often free through universities. The fit is students who get it free through their school's career center, or candidates who value structured video training alongside practice.

Yoodli

Yoodli takes a different angle. Instead of evaluating what you say, it evaluates how you say it. The AI tracks your speaking pace, filler words ("um," "like," "you know"), eye contact, sentence structure, and overall delivery. It is a communication coach, not an interview content coach.

This is genuinely useful for people who know their material but struggle with delivery. If you say "um" 40+ times in a two-minute answer (more common than you would think), Yoodli will surface it. If you speak too fast under pressure, the pacing analytics flag it. The free tier covers core analysis, and paid plans unlock deeper insights.

The limitation is clear. Yoodli will not help you structure a better answer to "tell me about a time you led a cross-functional project." It does not evaluate content quality, STAR method usage, or technical accuracy. Pair it with a content-focused tool for full coverage.

Pricing has a free tier, with paid plans for advanced features. The fit is candidates who know their content but want to fix delivery, pacing, and filler words.

Google Interview Warmup

Google's free interview practice tool. No signup required. You open it in your browser, pick a track (data analytics, IT support, UX design, or general), and answer questions out loud. The tool transcribes your response and highlights talking points you covered or missed.

That is the entire product. No scoring, no follow-up questions, no improvement tracking over time. The question library is small and the feedback is surface-level.

For someone who has never practiced an interview question out loud before, Google Interview Warmup is a fine place to spend the first 20 minutes. It removes every barrier to getting started. But you will outgrow it within a week of serious preparation. Think of it as a warm-up, not a training program.

Pricing is free. The fit is absolute beginners who want zero commitment for their first practice rep.

Mapping platforms to roles

The right platform depends on the interview type.

Software engineering (coding, system design). Interviewing.io for high-stakes live practice with industry engineers. Exponent for structured system design courses. Four-Leaf for unlimited voice-based behavioral and technical practice on demand.

Product management. Exponent for the strongest course content. Four-Leaf for unlimited PM voice mocks across product sense, analytical, and behavioral categories. Final Round AI for adaptive AI follow-ups if interview practice is your only need.

Data science and analytics. Interview Query for SQL and stats practice and the deepest data science question library. Four-Leaf for behavioral and case-based voice practice.

Generalist roles (corporate, marketing, sales, finance). Four-Leaf for broad role coverage. Big Interview if free through your university. Final Round AI on annual billing if you want a dedicated AI tool.

Communication and delivery. Yoodli for filler-word and pacing analysis, paired with a content-focused tool from one of the categories above.

Quick comparison

Pricing as of April 2026. Tool pricing changes frequently, so check each vendor's site for current plans before signing up.

Tool	Live human option	Voice AI mocks	Role specificity	Course content	Price
Interviewing.io	✓	✗	SWE, system design	Limited	from $179/session
Four-Leaf	✗	✓	20+ roles	Limited	$20/mo
Exponent	✓ (peer)	Limited	SWE, PM, DS	✓	around $79/mo
Interview Query	✗	✓	Data science	✓	around $79/mo
Final Round AI	✗	✓	Multi-role	Limited	around $148/mo, less annually
Big Interview	✗	✓	Multi-role	✓	around $79/mo retail
Yoodli	✗	Delivery only	General comms	✗	Free tier
Google Interview Warmup	✗	✓	4 tracks	✗	Free

How to choose

Three scenarios.

You need a small number of high-stakes reps before a specific software engineering interview. Interviewing.io for the most realistic simulation, supplemented with Exponent's system design course and Four-Leaf for unlimited cheaper practice in between sessions.

You are running an active search and want unlimited voice-based mock interviews across roles plus the rest of the pipeline. Four-Leaf at $20 a month is the lowest-cost path to that combination. Pair with Yoodli's free tier if you also want delivery coaching.

You are preparing for a specialized role (data science, PM at a tech company). Interview Query for data science. Exponent for PM at a tech company. Add Four-Leaf or Final Round AI annually for additional reps if your budget supports it.

Whatever you pick, the platform only matters if you actually do reps. The single biggest predictor of interview performance is hours practiced out loud, not which tool you used. Pick the platform that makes the next rep the path of least resistance, then put in the volume.

Related reading

Best AI interview prep tools in 2026, 10 compared covers a broader set of interview prep tools beyond mock interview specialists.
How to practice for a job interview by yourself covers solo practice techniques that pair with any of these platforms.
Product manager interview questions covers the most common PM questions and what interviewers actually score.
Try Four-Leaf's voice mock interviews directly to see role-specific AI practice with structured feedback.