Pricing
HK$0.01 a token. Nothing else.
No subscription, no seat fees, no upsell to see your own data. You buy tokens, and they come off only when StudyPath does a piece of work for you.
Starter
HK$5.00
500 tokens in total
About 40 tutor answers with diagnostics. Enough to work through one topic area properly.
- About 27 answered questions with a diagnostic
- Unlimited study scopes and topics
- Full revision journeys and evidence history
Most chosen
Term
HK$25.00
2,750 tokens in total(incl. 250 free)
A full term of steady revision, with 10% extra tokens included.
- About 152 answered questions with a diagnostic
- Unlimited study scopes and topics
- Full revision journeys and evidence history
Exam run-up
HK$80.00
9,200 tokens in total(incl. 1,200 free)
Daily practice through an exam season, with 15% extra tokens included.
- About 511 answered questions with a diagnostic
- Unlimited study scopes and topics
- Full revision journeys and evidence history
What each action costs
Shown in the app before you commit, and itemised in your transaction history afterwards.
| Action | Tokens | Cost |
|---|---|---|
| Tutor answer | 12 | HK$0.12 |
| New study scope and curriculum map | 20 | HK$0.20 |
| Diagnostic question | 6 | HK$0.06 |
| Diagnostic marking and feedback | 4 | HK$0.04 |
| Revision journey | 5 | HK$0.05 |
Every new account starts with 300 free tokens — enough to build a study scope and work through several topics before deciding whether to pay anything.
Questions
- Do tokens expire?
- No. They sit in your balance until you use them, and your scopes, topics and evidence stay put whether or not you have a balance.
- What happens when I run out?
- Nothing is deleted or hidden. You keep full access to everything you have already built — you just cannot ask for new answers or diagnostics until you top up.
- Why tokens instead of a subscription?
- Studying is seasonal. A subscription charges you through the months you are not revising; tokens do not.
- Is my learning data used for anything else?
- No. No advertising based on your weaknesses, no selling of student data, and no training external models on it. Your track record is private until you publish it yourself.