AI Interview Software Pricing: Per-Candidate vs Per-Seat Models Explained

AI interview platforms use one of four pricing models, and the differences matter more than most buyers realise. Choosing the wrong model can mean paying 3-5x more than you need to, especially if your hiring volume is variable.

Per-seat pricing charges a fixed monthly or annual fee per recruiter or admin who uses the platform. This is the traditional SaaS model - predictable cost, unlimited usage. It works well if your hiring volume is steady and high. It works poorly if you hire in bursts (campus drives, seasonal roles) because you pay the same fee during months when the platform sits idle.

Per-candidate pricing (also called per-credit or pay-per-use) charges for each interview conducted. You buy credits and use them as needed. No interview, no charge. This model aligns cost with value and works well for variable-volume hiring. The downside is that costs scale linearly with volume, so very high-volume users may find per-seat cheaper at some point.

Freemium models offer a limited number of free interviews per month (typically 5-20) and charge for additional usage. These are good for trying a platform before committing, but the free tier is rarely sufficient for real hiring. Treat it as a trial, not a long-term solution.

Enterprise pricing is custom-negotiated, usually an annual contract with a volume commitment. It often includes dedicated support, custom integrations, SLA guarantees, and training. Enterprise deals make sense for large organisations doing 10,000+ interviews per year, where the volume commitment unlocks significant per-interview discounts.

Some platforms use a hybrid model: a base per-seat fee plus per-interview charges above a certain threshold. This can be the worst of both worlds if you are not careful - you pay a fixed fee and still get charged for usage. Always calculate the total cost of ownership (TCO) based on your actual expected volume, not the vendor's best-case scenario.

Language support surcharges are common. Some platforms charge extra for non-English interviews - an additional fee per regional language interview. For Indian hiring teams where multi-lingual interviews are essential, this can add 20-40% to your per-interview cost. Ask whether all languages are included in the base price.

Proctoring add-ons catch many buyers off guard. Basic proctoring might be included, but advanced features (tab-switch detection, face verification, audio analysis) are often premium add-ons. Since proctoring is non-negotiable for campus and assessment-heavy hiring, you need to know the fully loaded cost.

Setup and onboarding fees, custom question set design, API access, WhatsApp delivery, dedicated support, and annual price escalation clauses are all potential hidden costs. Ask for a single, all-in number: "What will I pay per candidate if I run 500 interviews per month with proctoring, in Hindi and English, delivered via WhatsApp?" If the vendor cannot answer that question simply, the pricing is designed to be opaque.

Total cost of ownership (TCO) includes the platform fee, all add-ons, recruiter time spent on the platform, and the cost of candidate drop-off. A cheaper platform that has 30% completion rates costs more than an expensive platform with 65% completion rates, because you need to invite twice as many candidates to get the same number of completed interviews.

Here is a simple TCO formula: (platform cost per candidate x number of candidates invited) + (recruiter hours per week x hourly cost x 52 weeks) + (cost of candidate drop-off in re-invitations and delays). Compare this across platforms to see the true cost.

Run the calculation at three volume levels: your average month, your peak month (campus or seasonal), and your quiet month. This shows you how each pricing model behaves under different conditions. Per-seat looks great at peak volume but expensive at quiet months. Per-candidate scales linearly but can get expensive at very high volumes.

Indian hiring is seasonal and spiky. Campus drives happen in a 2-3 month window. BFSI sales hiring surges before festival seasons. BPO hiring follows client contract cycles. Retail scales up for Diwali and scales down in January. A pricing model that charges the same amount every month does not match this reality.

Per-candidate pricing also makes it easy to justify the cost internally. "We spent Rs 50,000 on 500 AI interviews that produced 45 hires" is a straightforward ROI calculation. "We spent Rs 2,00,000 on annual licenses for a platform we used heavily for 4 months" is a harder sell to finance.

The per-candidate model also incentivises the platform vendor to care about completion rates. If they charge per interview and candidates are not completing interviews, the vendor earns less. Their business interest aligns with yours: getting candidates through the process efficiently.

Goodfit charges Rs 100 per assessment. One assessment covers the voice interview, skill tests, proctoring, multi-lingual support, WhatsApp delivery, coding assessments, and psychometric tests. Every new account starts with 20 free assessments - enough to run a real pilot. No add-ons, no surcharges, no setup fees.

For enterprise volumes (5,000+ interviews per month), custom pricing with volume discounts is available. But even the enterprise model is per-interview at its core - you commit to a volume and get a lower per-credit rate. No per-seat fees, no annual licenses for unused capacity.

The math is straightforward. If you run a campus drive with 1,000 candidates, it costs Rs 1,00,000. If you hire 50 people from that drive, your cost per hire for the AI screening step is Rs 2,000. Compare that to the cost of sending 4 recruiters to campus for 3 days. For most teams, the AI-first approach is 60-70% cheaper even before you factor in the improvement in hiring quality.