Help
How TeachEdge Credits Are Calculated
Credits cover the AI processing used when TeachEdge marks work, gives feedback, supports tutoring, generates teaching resources or processes uploaded scripts.
Different tasks can use different amounts of credit because they do not all require the same amount of AI processing. A short typed GCSE answer, a generated set of questions, a long text-based A Level essay, a photographed script and a Bulk Marking batch are very different types of work.
The simple rule
In TeachEdge, 5,000 tokens = 1 credit.
A token is a small unit used to measure text and AI processing. Longer answers, longer instructions, detailed mark schemes and more complex inputs usually require more tokens.
You do not need to count tokens yourself. TeachEdge shows the credits used each time a tool is used or an essay is marked, and you can always see your remaining credit balance.
Why credits vary
Credit use can vary depending on:
- the length of the student answer;
- the amount of question, mark scheme or teacher guidance included;
- the size and detail of the output being generated;
- whether the work is typed text, an image, a scan or a PDF;
- whether TeachEdge needs to interpret or extract text from an uploaded script;
- the number and length of scripts in a Bulk Marking batch;
- the type of TeachEdge tool being used.
As a rough guide, lighter tools such as Question Generator often use less than 1 credit, especially for shorter tasks. Most text-based long A Level essays use around 1 credit, while shorter GCSE answers usually use less. Image-heavy work, PDFs, scanned scripts and Bulk Marking batches may use more because they require additional processing.
Examples of typical credit use
These examples are rough guides. Actual credit use can vary depending on answer length, uploaded files, image quality, mark scheme detail and the amount of AI processing needed.
Why we use this approach
We use a token-based credit system because it is fairer across different usage patterns.
A teacher generating a short set of questions should not use the same number of credits as a teacher processing a long scanned script or a batch of PDFs. Basing credits on AI processing means credit use broadly reflects the work TeachEdge is doing.
It is more detailed than a simple “one task = one credit” rule, so TeachEdge makes credit use visible after each task.
Checking usage
TeachEdge shows the credits used each time a tool is used or an essay is marked. You can also see your remaining credit balance in TeachEdge.
App Leads can use Credit Usage Overview to review school-level and department-level summaries. This is designed to support planning, budgeting and transparency.
Credit Usage Overview uses summary data. It does not show student answers, prompts, generated feedback, uploaded files, chat messages, raw usage records or teacher-by-teacher breakdowns.