Framer’s 2026 pricing shake-up did two things: it simplified the plan lineup and lowered prices, and it introduced AI credits — a shared allowance that powers Agents, Wireframer, and Workshop generation. If you’ve been confused about what actually consumes credits and how many you need, this guide covers the whole model in plain terms.
The short version: light AI users will never think about credits, while teams leaning on Agents for full builds should budget for them the way they budget for seats.
What are Framer AI credits?
Credits are the usage budget behind Framer’s generative features. They make it possible to ask an AI tool to create, restructure, or revise something inside a project. The allowance is associated with the workspace or plan you are using, and the amount consumed varies with the size and complexity of a request. A small copy or layout task is not the same workload as asking an Agent to rethink a full page.
That distinction matters for agencies. Credits are not a substitute for project scope, design direction, or review time. They are a way to make repeatable production cheaper once the brief is already clear. The more context you provide before you generate, the less often you need to regenerate.
What actually uses credits?
Agents
Agents are the heaviest part of the workflow because they can operate across multiple layers of a project. A request to draft a section, update several components, or restructure a page may consume more than a narrowly defined change. The exact amount depends on the task, so use the usage information in the current workspace as the source of truth rather than relying on a universal number.
Wireframer
Wireframer is useful for turning a plain-language brief into an initial page structure. It is most valuable at the beginning of a project, when you need to explore hierarchy and content order. Treat its output as a first pass: keep the useful structure, then replace generic copy, tune spacing, and align the result to the project’s existing system.
Workshop
Workshop can help generate components and other focused building blocks. It is a good fit for a repeatable UI problem when you can describe the states, content, and constraints clearly. Generate the component once, review it, and reuse it. Regenerating the same component for every instance defeats the point of a shared system.
What does not use credits?
Manual edits remain the dependable, zero-AI-cost part of the workflow. Editing text in the CMS, changing a link, moving a layer, adjusting a token, publishing a page, reviewing analytics, and maintaining a collection are not the same as asking an AI feature to generate something. This is why a hybrid workflow is usually more efficient than trying to make AI do every small task.
The boundary is simple: if you are directly editing an existing value, treat it as ordinary production work; if you are asking Framer to invent or transform a structure, expect that request to use the AI allowance. When in doubt, check the project’s current usage display before repeating a large operation.
How should an agency budget credits?
Start with the delivery model, not the credit number. An agency can use AI for scaffolding while keeping strategy, copy judgment, accessibility, motion, and QA human-led. That makes the allowance easier to forecast because the expensive requests happen at predictable points: the first structural pass, a major revision, or a new component family.
For a landing page
Use Wireframer or an Agent to explore the information hierarchy, then write the final offer and proof manually. A focused landing page usually benefits from a small number of deliberate generation passes rather than constant prompt changes. The final conversion path should be judged against the offer and audience, not against how quickly the first draft appeared.
For a full website
Budget more attention for shared components, CMS architecture, and responsive behavior. Agents can help scaffold those systems, but an agency should review the relationships between pages before generating more. A clean content model and a clear component inventory save more credits than trying to correct a confused structure after the fact.
For ongoing client work
Keep a short log of which requests consumed meaningful usage and which changes were faster manually. After a month, the pattern is usually clear: AI is strongest for repeatable, well-scoped work, while tiny visual corrections are cheaper to make directly.
Five ways to make credits go further
First, prompt with the project context: name the page, the audience, the existing component to reuse, and the outcome you need. Second, ask for structure before polish. Third, batch related changes into one request instead of sending several overlapping instructions. Fourth, build reusable components once. Fifth, stop regenerating when a manual edit is faster.
A useful rule is to reserve AI for uncertainty that is expensive to resolve manually, not for every click. If you already know the correct text, spacing, link, or color, make the edit. If you need three plausible structures to compare, ask AI for the options and keep the decision human.
Do credits change which Framer plan you should choose?
Usually, no. Choose a plan around the site’s publishing, CMS, traffic, collaboration, and localization needs first. Then check whether the included AI allowance matches your workflow. An occasional AI user should not overbuy a plan only for credits, while a team using Agents for repeated production should treat credits as one line in its operating budget alongside editors and third-party tools.
For a broader plan comparison, read the updated Framer pricing guide. If the question is really about having a site built rather than choosing a subscription, compare the scope of PixlForm’s full website service instead.
A practical pre-generation checklist
Before a large request, confirm the page goal, list the parts that already exist, identify the exact reusable styles or components, and write down what must not change. After generation, review hierarchy, copy accuracy, link destinations, mobile behavior, keyboard access, and the final CMS structure. A fast draft is only valuable when it survives that review.
Framer AI credits FAQ
What uses Framer AI credits?
Agents, Wireframer, and Workshop generation use the shared AI allowance. The exact cost depends on the task, so the current workspace usage display is the right reference.
What does not use AI credits?
Manual design edits, CMS editing, publishing, hosting, analytics, and ordinary content updates do not use AI credits.
How should an agency budget credits?
Use AI for structure and repeatable production, then reserve human review for brand, accessibility, copy, and final QA.
Should credits decide which plan I buy?
Usually no. Choose a plan around traffic, CMS, publishing, and collaboration first, then confirm the allowance fits an AI-heavy workflow.
Related reading: Framer AI Agents in 2026 · Framer Agents Review · Framer Pricing Explained
Ready to scope a site where AI accelerates production without replacing judgment? Explore full website builds →
A useful operating model for teams
A small team can make credits predictable by separating exploration, production, and review. Exploration is where you ask Wireframer for a few structures or Workshop for a component concept. Production is where an approved direction is implemented across the real page and CMS. Review is where a person checks the content, responsive behavior, links, and accessibility. Keeping those stages distinct prevents the team from spending credits on a moving target.
Create a short prompt library for repeatable tasks. Include the project context, the component or page to use as a reference, the output you want, and what must remain untouched. A prompt that says “use the current card pattern, keep the existing typography, add three CMS fields, and do not rewrite the published copy” gives an Agent a much better boundary than “make this better.”
When manual editing wins
Manual editing is usually the right choice when the change is local and already decided. Updating a label, changing a URL, fixing a typo, adjusting one gap, or editing a CMS field does not need a generation loop. The fastest workflow is the one that matches the uncertainty of the task: use AI to explore or transform; use direct editing to apply a known answer.
For a focused campaign or launch page, explore PixlForm’s landing page service. Explore landing pages →
