How Much Are Free Modal Credits Worth?
Modal offers up to $50,000 in free compute credits for startups, and unlike most programs it is open to companies at any stage rather than only to recently incorporated ones.
That stage-agnostic framing matters more than the headline number. Most infrastructure credit programs cut off at two or three years since incorporation, which excludes exactly the teams whose compute bills have grown large enough for credits to matter.
AI Perks tracks the current terms alongside $7.7M in credits across 194 companies.
What Modal Credits Actually Cover
Modal bills for serverless compute by the second, so credits offset the single largest line item in most AI workloads: GPU time.
The practical translation depends entirely on what you run:
| Workload | What $50,000 roughly represents |
|---|---|
| Intermittent inference | Many months of runway |
| Batch processing jobs | A large one-off backfill |
| Fine-tuning runs | A meaningful number of experiments |
| Always-on GPU serving | Considerably less than you would hope |
The last row is the one teams misjudge. Serverless pricing rewards bursty workloads and punishes idle capacity, so an always-warm GPU consumes credits far faster than the same total compute spread across bursts.
Why Serverless GPU Economics Differ
You pay for the seconds a container is actually running, not for a reserved instance sitting idle.
That inverts normal capacity planning. On a reserved GPU, you optimise utilisation to justify the fixed cost. On serverless, idle time is free and cold starts are the tax.
Three consequences worth planning around:
Bursty beats steady. A workload that runs hard for an hour a day is dramatically cheaper here than on a reserved instance.
Cold starts are the real constraint. Container and model loading time is what stands between you and a responsive endpoint.
Credits stretch further on batch work. If you can move something from realtime to queued, you will consume far fewer credits for the same output.
Stacking Modal Credits With Model Credits
Compute credits and model credits are different bills, and the strongest position is holding both.
Modal covers where your code runs. Anthropic, OpenAI, Google and xAI credits cover the model calls your code makes. A team with only one of the two still has a meaningful bill.
This is the core of how founders actually fund an AI product's first year: not one large grant but several medium ones covering different layers. AI Perks exists to show which combinations are available and compatible.
How to Get Modal and Other Compute Credits
Step 1: Start at getaiperks.com and filter to the AI Tool and Cloud Infrastructure categories. Those are the two that cover compute.
Step 2: Apply broadly. Approval criteria vary by program, and three approvals out of eight applications beats one out of one.
Step 3: Sequence by expiry. Compute credits are time-boxed, and starting a twelve month grant before you have a workload to spend it on wastes most of it.
Step 4: Re-check quarterly. Infrastructure programs change terms frequently.
Frequently Asked Questions
How much are Modal credits worth?
Up to $50,000 in compute credits, available to startups at any stage rather than only newly incorporated ones. How far that goes depends heavily on whether your workload is bursty or always-on. Current terms are tracked at getaiperks.com.
Does Modal require a credit card to start?
Modal has a free usage allowance for new accounts separate from the startup credit program, which is the normal way to evaluate before applying for larger credits.
Can I use Modal credits for GPU training runs?
Yes. Credits apply to Modal compute generally, which covers both inference serving and training or fine-tuning jobs. Batch and queued work stretches credits considerably further than always-warm serving.
Can I combine Modal credits with OpenAI or Anthropic credits?
Yes, and you should. They cover different bills: Modal is where your code runs, model credits cover the API calls it makes. Holding both is how teams cover a full year. See what is available at getaiperks.com.
Is Modal cheaper than running my own GPU instances?
For bursty workloads, usually yes, because you do not pay for idle capacity. For sustained high-utilisation serving, reserved capacity often wins. The break-even depends on your duty cycle, not on list prices.
What other compute credits should I apply for?
AWS, Google Cloud, Azure and Nvidia all run startup programs, and several are compatible with each other. AI Perks tracks $7.7M across 194 companies at getaiperks.com.
Run the compute. Let someone else pay for it.