Every language app you have used charges one of three ways. A free tier with locked content, a premium tier that unlocks everything, and sometimes an annual plan that saves you 30% if you pay upfront. The differences between tiers are purely about access. The price has nothing to do with your goal, your starting point, or your language. You and someone else could both pay $13.99 a month — one trying to reach B1 in Mandarin from zero, the other trying to maintain conversational French before a vacation. Same price. Completely different commitment requirements. The pricing model treats these as equivalent. They are not.
The Problem With Tier Menus
Tier menus price access, not outcomes. This is a business model choice, not an accident. It is the only pricing model that works when you cannot predict what any individual user will actually accomplish. If you charge for outcomes and users do not achieve them, you have a refund problem. If you charge for access, you can sell the same product to every kind of learner and define success as continued engagement.
The consequence is structural: the product is not designed to get you to your goal. It is designed to keep you subscribed. These are different problems with different solutions, and the difference shows up in every design decision — from what gets gamified to how progress is measured to whether the product ever tells you when you are done.
Tier menus price access, not outcomes. A product designed to retain subscribers and a product designed to produce fluency are solving different problems.
Computed Commitment Pricing
C2P starts from a different premise: the price you pay should be a function of how long you actually need to reach your goal. If HEXI computes that you need 7 months to get from A0 to B1 in French, you pay for 7 months. Not an indefinite subscription. Not a tier. A defined program with a defined end point.
The computation has three inputs: your CEFR baseline, your language's FSI difficulty rating, and your target level. Each one is a real variable, not a proxy. Together they produce a V-program number — V3 through V17 — that represents the number of months your program runs at the recommended 5 hours per week.
The Three Variables
CEFR baseline. Your starting point determines how far you have to go. An A0 learner going to B1 in French needs roughly 300 traditional instruction hours. An A2 learner going to B1 needs 150. Not the same product. The price should reflect that. VOICECAST gives a real baseline — not a self-reported level, a phoneme-level assessment that places you accurately using Azure Pronunciation Assessment.
FSI language distance. The Foreign Service Institute measured how long it takes a native English speaker to reach professional working proficiency across 70+ languages. The ratio between the fastest (Spanish, French, Italian — Category I) and the hardest (Arabic, Japanese, Mandarin, Korean — Category IV) is approximately 2.5×. A learner going from A0 to B1 in Mandarin has a genuinely harder problem than the same learner going to B1 in French. The program length should reflect it.
Goal level. B1 and B2 are not adjacent destinations. The CEFR Companion Volume (2020) documents that B2 requires roughly 530 hours compared to 300 for B1. A learner targeting B2 for professional or academic use has a different program from one targeting B1 for travel. The goal changes the duration and therefore the price.
Foreign Service Institute (1973, revised 2011). Language Learning Difficulty for English Speakers. U.S. Department of State.
Council of Europe (2020). Common European Framework of Reference for Languages: Companion Volume. Council of Europe Publishing.
The Computation
The formula: (traditional hours for the CEFR gap) × (FSI language multiplier) ÷ 2 ÷ (hours per week). Voicely's efficiency factor is ÷2 — a conservative claim derived from the combination of phoneme-level feedback and active production requirements that traditional classroom instruction does not provide. At 5 hours per week, V7 for French A0→B1 is 300h × 1.0 ÷ 2 ÷ 5h/week = 30 weeks = 7 months.
V7 for French: 300h × 1.0 ÷ 2 ÷ 5h/week = 30 weeks. That is a derivation, not an estimate.
Commitment as Architecture
Knowing that you have a V7 program changes how you practice. You are not subscribing indefinitely and checking in whenever it feels right. You have seven months, a defined baseline, and a defined target. HEXI knows where you are in the program. The compound memory system knows what has been covered and what has not. The session plan is prescribed, not chosen from a menu.
Ariely and Wertenbroch (2002) demonstrated that externally imposed commitment devices significantly improve follow-through on tasks requiring sustained effort over time. Bryan, Karlan, and Nelson (2010) extended this: committing to a defined outcome — as opposed to an open-ended subscription — increases the probability of completion by changing the psychological framing of the task. You are not a subscriber maintaining a streak. You are 14 weeks into a 30-week program.
Ariely, D. & Wertenbroch, K. (2002). Procrastination, deadlines, and performance: Self-control by precommitment. Psychological Science, 13(3), 219–224.
Bryan, G., Karlan, D. & Nelson, S. (2010). Commitment devices. Annual Review of Economics, 2(1), 671–698.
The guarantee is structural. V-programs V3–V17 include a guarantee: complete your program at the prescribed pace without reaching your goal level, and your next program is 30% off. A refund is not offered — accountability is. The guarantee only functions within a defined-duration model. A subscription has no completion condition.
Why $149
The monthly rate is flat across all V-programs. V3 costs the same per month as V17. The variable is the number of months, not the monthly rate. $149 per month for a French V7 is $1,043 total to reach B1. Private tutoring (iTalki, Preply — $30–80 per hour) for the same result runs $4,500–12,000. Alliance Française group instruction runs $2,000–4,000 per year for 2–3 years. C2P does not charge a premium for better outcomes. It charges a fixed rate and computes the duration honestly.
The full derivation — comparison to existing pricing models, the commitment mechanism, the guarantee architecture, and the implications for EdTech pricing more broadly — is published as a white paper in the Voicely research section.
Gowry, M. (2026). Computed Commitment Pricing: A Research-Derived Pricing Model for Outcome-Oriented Language Training. Voicely Language Research.