I’m on the Pro plan, but I noticed some advanced AI models are only available on the Ultra plan. Can Pro plan users use AI credits to access them?
I would also like to experiment with some ultra features đź’ś
Great question! This type of "try before you upgrade" is something we've been discussing internally and credits should be a good vehicle for that. Would love to learn from how you guys experiment with new models now. Some quick questions for ya:
How do you usually tell if a new model is worth adding to your workflow?
About how many generations does it take before you know if it’s a good fit?
What would make a limited "try before you upgrade" feel fair and useful to you?
Max B. Dae-Ho C. Amanda R...but the constant issue remains unanswered. When agent fails to do what I ask it or if a model delivers poorly then I only lose credits as there is no way to record my dissatisfaction or for the AI to self assess. My own calc is that 50% of my credits are constantly wasted. This is one of the reasons that I predict that Vibe coding will die a natural death once people realize who expensive it is when you try to scale and how it dies beyond a certain level of performance. I now that is not what is being discussed but I am trying to explain the massive impact that credits can have in a system that has no cohesive measurement of success. This will lead to massive dissatisfaction with Gamma. If you do it tread gently good people. Gently indeed!!
Just want to share some information: Using something like Claude Code or an API would solve that credit issue really easily. Even with that the credit system is not a problem - just copy and pasting, not reading docs, tools, and a plethora of other reasons would "kill" vibe coding.
Max B. Amanda R. Dae-Ho C. 1. My workflow is constantly evolving — it shifts depending on what I’m creating or exploring at a given time. There are core elements that remain steady, like preparing lectures or delivering presentations, but around them, I’m always experimenting with new tools and features that might enhance what I do. When I decide whether something is worth adding, I look at timing and value. Some tools, like the studio feature, aren’t essential for my regular teaching or social media work, but there are moments when they become crucial — when a project or idea calls for that extra capability. In those cases, I might use such a feature for a short period, say two weeks or a month, because it adds real, time-specific value. I also create YouTube videos and educational use cases, and experimentation is a big part of that process. Often, I don’t know in advance what I’ll need until I reach a certain point in a project. For example, I recently used the studio feature to create something visually compelling. When I showed it to a colleague, he immediately asked how I’d done it — the image and concept resonated. That’s exactly the kind of moment that confirms a tool’s value to me: when it helps me translate an idea into something that inspires others or opens new possibilities. 2. For me, knowing when something is “right” is more of a feeling than a fixed process. I don’t have strict brand guidelines to follow — and I actually like that freedom. It allows me to keep experimenting rather than getting stuck in one visual style. When I create something, I’m usually guided by two things: meaning and emotional impact. The visual side matters, of course, but only insofar as it amplifies the message or evokes a reaction. In teaching, that often means designing moments with a “wow” factor — not for spectacle’s sake, but to draw my students in and make them curious. When I use Gamma in my lectures, I know something works when I see my students’ reactions. That engagement tells me I’ve hit the mark. With colleagues, it’s slightly different — I aim for clarity and resonance rather than surprise. Over time, I’ve noticed that the more I use Gamma, the fewer iterations I need, as my intuition sharpens with experience. Still, some projects take longer. For example, I recently created a one-page visual with smart layouts and diagrams, and it took several rounds of refinement before it felt right. That sense of alignment — when the design and the message finally come together — is what tells me I’ve reached the result I want. 3. For me, the ideal setup would allow more flexibility — the ability to upgrade or access certain features only when I need them. My workflow isn’t static, so there are moments when a feature like Gamma Ultra would be invaluable, but others when I don’t need that level of functionality. I completely understand the difference between private firms and individual educators like me. For entrepreneurs, content creation can be their main source of income, which makes premium plans easier to justify. In education, however, the situation is different. I use Gamma to experiment with educational applications and to demonstrate possibilities to others, but it’s difficult to justify the full cost of Ultra on a personal level, even though I clearly see its value. What would help is a flexible model — for example, the option to purchase a feature or an upgrade for a limited time, such as seven days or a month. Even being able to temporarily switch to Ultra while keeping an annual plan for the base tier would make a big difference. It would allow educators like me to use premium features strategically for specific projects or teaching moments without needing to commit to a full subscription year-round. Flexible access could encourage more educators to explore, create, and integrate Gamma into their work — and in the long run, that benefits both sides. I hope this helps 💜
Max B. 1 I'm constantly exploring the latest models and switch between them depending on the task. It's less about sticking to one model and more about finding the one that performs best for each situation. 2 Usually around 5 to 10 generations is enough to get a clear sense of whether it fits my workflow. 3 Since I'm on the Gamma Pro plan, which already includes monthly credits, I'd love it if Gamma allowed us to use those credits directly to access the newest models, rather than limiting them to a "try before you upgrade" experience. This would make it feel more like a usage-based model, similar to other platforms.
Liang-Bin H. and Irina G. have a very similar thought process and I am also keen on this. Amanda R.
.png)