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Zohra0419
New Member
March 10, 2026

Figma Make Ai Credit Limits Not Feasible

  • March 10, 2026
  • 187 replies
  • 9321 views

I’d like to share feedback regarding the implementation of AI credit limits in Figmake. As a designer managing multiple complex projects, I believe credit restrictions would greatly undermine Figmake’s usefulness in real-world design and prototyping workflows.  

1. Most AI usage is for fixing bad or incomplete output, not luxury use.  
In practice, a large percentage of AI prompts in Figmake are iterative—used to correct layout issues, rebuild misinterpreted elements, or align behaviors with visual intent. Each refinement quickly consumes credits even though the output quality depends on that iteration. Penalizing iteration limits the model’s ability to produce accurate prototypes, especially when the AI output is imperfect through no fault of the user, making credit usage really unfair and frustrating.

2. Predictability becomes impossible, discouraging adoption.  
With a credit cap that no one knows how to predict and calculate ahead of time, I can’t plan how far my Figmake usage will take me in a given project. Credits could run out mid-way, forcing me to manually rebuild AI-generated prototypes and creating major inefficiencies. For example, if I spend a week using Figmake for an interactive prototype and then hit a credit limit right before stakeholder review, I’d end up having to redo everything by hand including component mapping and manual prototyping—rendering the AI tool more of a liability than an acceleration.  

3. I actively use Figmake for time-intensive, pixel-perfect projects.  
I currently have five ongoing projects that rely on Figmake’s automation to achieve understandable prototypes across varying layouts, dynamic conditions, and complex component interactions. These require functional, clickable prototypes that would otherwise take hundreds of manual steps. To give you a sense of credit usage to achieve a prototype, each project reached hundreds of versions within a week of creation. AI limits directly restrict my ability to complete these on schedule or maintain parity between design and prototypes.  

4. Prototypes must stay updated and accurate.  
Projects evolve rapidly across teams. If AI updates become throttled because of credit exhaustion, Figmake prototypes drift from reality—outdated screens, missing conditional flows, untested interactions, and inconsistent visuals make it impossible to keep stakeholders aligned. Designers would revert to traditional Figma, eliminating Figmake’s intended value.  

5. Figmake bridges a huge gap with non-designer stakeholders.  
Stakeholders don’t want to learn how to use Figma’s preview tools—they struggle with finding files, switching flows, adjusting zoom, or enabling hotspots. Figmake solves this by letting me send a simple link everyone can understand without training. Credit limits would prevent consistent sharing of working AI-powered prototypes, creating friction in alignment and communication with non-design teams.  

6. Credit-based systems penalize professional users.  
Professional users already pay for Figma Organization plans come with the expectation of scalability and reliability. AI credit limits undermine that—power users end up penalized, while lighter users are unaffected. Enterprise workflows require consistency, not unpredictable usage caps. Requiring designers to repeatedly request additional credits from admins adds unnecessary friction, forcing us to justify needs and placing stress on teams with little control. 

7. Creativity and exploration get stifled.

Part of Figmake’s value lies in exploration—testing concepts, states, and flows in seconds. Predictive anxiety over “credit drain” limits experimentation. Designers will stick to safe, minimal use rather than exploring variations that lead to innovation.  

8. AI credit management adds unnecessary overhead.  
Tracking remaining credits adds cognitive and administrative burden. Instead of focusing on design, we’d have to monitor dashboards, request top-ups, or pause work mid-flow. This complexity erases the simplicity and joy that make Figma tools beloved.  

Recommendation:  
Instead of credit limits, please consider providing unlimited AI usage under paid plans with limits only for automation abuse.  
- Allowing local refinement of previous AI generations without repeated credit consumption.  

Pinned Reply By ksn

Hey ​@baewadalmaster ​@DonDesigns ​@JaredSF - we have been consolidating similar threads so conversations and updates around the same topic stay in one place. In this case, we’re merging related discussions into this thread. This makes it easier for people to quickly find answers to their questions.

When topics are merged, some threads may be closed or redirected, which can make it seem like things have disappeared (especially from older links).

If one of your posts is merged into another topic, you can always find it through your profile and see where it now lives.

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187 replies

Dave Cowing
April 4, 2026

We are a small agency, that makes use of Figma.  We’ve started using Figma Make and have seen great benefits.  However, the credit consumption is really high and the model, with a very low monthly pay as you go limit, doesn’t work well for us, given significant variability in need month to month.  As it is, we’re forced to commit to much higher subscription to monthly AI credits to meet our needs and I see us having many months where we don’t need that amount.  I’d rather pay slightly more for the flexibility.  

Figma, can you get rid of the $2K cap on the pay as you go and let organization subscribers set that as they see fit/need?

 

Anyone else struggling with this or have answers?  For us, this may push us to other tools for vibe designing, and utilize the Figma MCP server for when we need to hand design elements.

Viktors
New Participant
April 8, 2026

I would like to raise a concern regarding the credit system used in Figma Make AI.

Currently, the way credits are consumed feels disproportionate to the actual value delivered per interaction. A single prompt can consume a significant number of credits, even when the result requires multiple iterations to reach a usable outcome.
 

AI-assisted design tools should encourage exploration, refinement, and iteration. However, the current credit model discourages this behavior by penalizing users heavily for each prompt, regardless of output quality or usefulness.

It would be much more reasonable if:

  • Credit consumption per prompt was lower, or more predictable
  • Credits were tied to successful outputs rather than attempts
  • Iterative refinements (small changes) consumed fewer credits than full prompts
  • Users had better transparency on how credits are calculated before execution

At the moment, the system feels restrictive and misaligned with real design workflows, where multiple iterations are the norm rather than the exception.

 

Octavian_Dumitrescu
New Member
April 8, 2026

The Figma product is fantastic, but even if they gave you 10,000 credits instead of 3,000, it would never be enough! In just three days’ work, you easily go through 10,000 credits (so 50% of that goes on fixing bugs and dealing with the content they add without asking). I’d rather stop using figma because it uses up too many credits, and so under the new system it’s financially unsustainable. What a shame.

 

i used 300000 when it was free but i built something cool

Amr Mahmoud
New Member
April 8, 2026

Hi Figma Team, I’m really enjoying the new 'Make' features, but I’ve found that the 3,000 credit limit is quite restrictive for a professional workflow. In a single productive day, it’s very easy to exhaust that amount.

I believe increasing the limit—perhaps to 20,000 or more—would make the tool much more viable for power users. Currently, the pricing feels a bit high compared to other specialized AI tools on the market. Would love to see more flexible options for high-volume users!

Dave Cowing
April 8, 2026

Completely agree with everyone about the credit model.  1. work consumes far too many credits, 2. the limits an organization user has are not feasible for complex work - have topped out the pay go and the monthly numbers, and now have to talk to sales??  As an admin, I should be able to set my users up for success. 

Recommendations:

  1. Make the platform more efficient from a consumption POV
  2. allow a much higher ceiling on PayGo → our needs are lumpy, so paying high annual fees for a heavy month just doesn’t work
  3. allow a much higher monthly number that admins can set without sales.
  4. Lack of a decent rollback mechanism is a real issue, please add bi-directional connection to github.

 

For our next project, we’ll look at other models - to be honest there’s no real benefit of Figma Make over other models/platforms.   

UserFiore
New Participant
April 9, 2026

I just spent about 500 credits trying to add an SVG file.

 

70 credits just to confirm “Yes I want to add an SVG File”

and 166 credits to “upload it”

then another 70 to “fix it’

and another 166 to try and upload the SVG file again.

 

AND IT STILL DIDNT WORK LOL.  File still won’t show after spending 500 CREDITS!!! THIS IS A SCAM!

Manoj S
New Member
April 9, 2026

I’d like to share feedback regarding the implementation of AI credit limits in Figmake. As a designer managing multiple complex projects, I believe credit restrictions would greatly undermine Figmake’s usefulness in real-world design and prototyping workflows.  

1. Most AI usage is for fixing bad or incomplete output, not luxury use.  
In practice, a large percentage of AI prompts in Figmake are iterative—used to correct layout issues, rebuild misinterpreted elements, or align behaviors with visual intent. Each refinement quickly consumes credits even though the output quality depends on that iteration. Penalizing iteration limits the model’s ability to produce accurate prototypes, especially when the AI output is imperfect through no fault of the user, making credit usage really unfair and frustrating.

2. Predictability becomes impossible, discouraging adoption.  
With a credit cap that no one knows how to predict and calculate ahead of time, I can’t plan how far my Figmake usage will take me in a given project. Credits could run out mid-way, forcing me to manually rebuild AI-generated prototypes and creating major inefficiencies. For example, if I spend a week using Figmake for an interactive prototype and then hit a credit limit right before stakeholder review, I’d end up having to redo everything by hand including component mapping and manual prototyping—rendering the AI tool more of a liability than an acceleration.  

3. I actively use Figmake for time-intensive, pixel-perfect projects.  
I currently have five ongoing projects that rely on Figmake’s automation to achieve understandable prototypes across varying layouts, dynamic conditions, and complex component interactions. These require functional, clickable prototypes that would otherwise take hundreds of manual steps. To give you a sense of credit usage to achieve a prototype, each project reached hundreds of versions within a week of creation. AI limits directly restrict my ability to complete these on schedule or maintain parity between design and prototypes.  

4. Prototypes must stay updated and accurate.  
Projects evolve rapidly across teams. If AI updates become throttled because of credit exhaustion, Figmake prototypes drift from reality—outdated screens, missing conditional flows, untested interactions, and inconsistent visuals make it impossible to keep stakeholders aligned. Designers would revert to traditional Figma, eliminating Figmake’s intended value.  

5. Figmake bridges a huge gap with non-designer stakeholders.  
Stakeholders don’t want to learn how to use Figma’s preview tools—they struggle with finding files, switching flows, adjusting zoom, or enabling hotspots. Figmake solves this by letting me send a simple link everyone can understand without training. Credit limits would prevent consistent sharing of working AI-powered prototypes, creating friction in alignment and communication with non-design teams.  

6. Credit-based systems penalize professional users.  
Professional users already pay for Figma Organization plans come with the expectation of scalability and reliability. AI credit limits undermine that—power users end up penalized, while lighter users are unaffected. Enterprise workflows require consistency, not unpredictable usage caps. Requiring designers to repeatedly request additional credits from admins adds unnecessary friction, forcing us to justify needs and placing stress on teams with little control. 

7. Creativity and exploration get stifled.

Part of Figmake’s value lies in exploration—testing concepts, states, and flows in seconds. Predictive anxiety over “credit drain” limits experimentation. Designers will stick to safe, minimal use rather than exploring variations that lead to innovation.  

8. AI credit management adds unnecessary overhead.  
Tracking remaining credits adds cognitive and administrative burden. Instead of focusing on design, we’d have to monitor dashboards, request top-ups, or pause work mid-flow. This complexity erases the simplicity and joy that make Figma tools beloved.  

Recommendation:  
Instead of credit limits, please consider providing unlimited AI usage under paid plans with limits only for automation abuse.  
- Allowing local refinement of previous AI generations without repeated credit consumption.  

Figma Credit scam. Earlier there were 86 credits. Then I gave prompt. Usage credit for said Prompts were 40. & then it shows 0 credit left

Dave Cowing
April 9, 2026

I am so frustrated right now - Figma Make credits are the worst.

 

I have an organization license and 1 user doing a complex project in Figma Make.  We’ve burned through the per seat credits, maxed out the $2k paygo credits, maxed out the monthly credits and are now stuck - they want you to send a note to sales after this point.  Sales hasn’t contacted me in 18 hours and we have a major project bottle necked by this.

I’ve had to go an create a whole new account to have new limits and will have to move the project over there.

 

On top of extremely expensive credits, Figma is not letting me buy more that I’m willing to.  This is the absolute worst setup.  We will probably not use Figma Make for future projects, as this lack of control is not acceptable to my business.

Arun Subramanyan
New Member
April 9, 2026

Hi everyone,

We’ve been using Figma Make for the past one year, and one key concern has become more serious after the shift to token-based pricing.

When this was a free feature, we didn’t mind occasional errors or inconsistencies. However, now that it’s priced, every issue directly results in token loss—and that’s a problem.

There have been multiple instances where tokens were consumed, but the expected output was either not visible or not usable in the UI. In such cases, we end up bearing the cost for issues that seem to be on Figma Make’s side.

What makes this more challenging is the lack of a clear or reliable escalation path for these situations. There’s no straightforward way to recover tokens or get timely resolution.

This raises serious concerns around:

  • Cost accountability
  • Reliability of the system
  • Support and escalation process

For product teams, this makes it difficult to rely on Figma Make for long-term workflows. If this continues, we may have to gradually move away from using it.

Would like to understand—are others facing similar issues? How are you handling token losses in such cases?

mbanks
New Member
April 10, 2026

Any one find an alternative? These new limits are way too low… As a PM, I am now just starting to design/build else where. I’m cancelling my subscription and moving my team to something else.  Any recs?