Every AI side project starts with the same question: how do I try the models without paying for tokens I might waste? The good news in 2026 is that the free AI API credits available to developers are genuinely useful, not just marketing. Several providers hand out real credits, free tiers or trial allowances that cover a prototype, a demo or a small production app. The trick is knowing which credits are actually free, which ones expire, and which ones quietly require a card.

Cloud Credits With AI Included

The biggest allowances come from cloud startup programmes. Google Cloud's free trial includes $300 in credit over 90 days, which covers a serious amount of Gemini API usage, and its always-free tier includes a monthly allowance of AI calls. AWS Activate gives startups credits that work across Bedrock, the managed service for foundation models, and Azure's free account includes a monthly allowance for Azure OpenAI. These are the credits to use for anything beyond a toy project, because they scale and the billing is transparent. The catch is that most require a card on file and a startup application, so apply early and read the expiry terms before you build on them.

Model Providers With Free Tiers

Several model providers offer free tiers directly. Groq gives developers a generous free allowance on its ultra-fast inference API, which is ideal for chatbots and real-time demos. Together AI and Fireworks AI both offer free credits for new accounts and per-token pricing that stays cheap at small scale. OpenRouter is the aggregator worth knowing: one API key reaches dozens of models, many of which have free variants, and you can switch models without changing your code. Hugging Face offers free inference endpoints for open models, which suits anyone building with open-weight models. Mistral's La Plateforme includes free credits for new accounts. For most prototypes, OpenRouter plus one fast provider covers everything.

How to Stretch Credits and Avoid the Bill

A Practical Starter Stack for Zero Dollars

Here is a concrete stack that costs nothing to start with. Use Google Cloud's $300 trial credit for the heavy lifting: Gemini for chat and summarisation, with the free tier covering small daily use after the trial. Add Groq's free tier for anything that needs speed, such as real-time chat or a demo where latency is visible. Use OpenRouter as the switchboard, so you can try a dozen models through one API key and compare quality without rewriting code. Store prompts and results in a free Postgres tier from Supabase or Neon, and host the app itself on a free tier from Vercel or Render. This stack handles a prototype with real users, and every piece has a clear upgrade path when the free allowance runs out. The total cost is zero, the total setup time is an afternoon, and the only thing you risk is the time it takes to learn which model fits your product.

Free credits disappear fast when you waste them. Cache repeated prompts, use small models for classification and routing and reserve the large models for the hard steps, and set hard usage caps in every provider dashboard on day one. Log every call with its cost so you can see which feature burns the budget, and add a billing alert at 50 and 80 percent of your allowance. When the free credits run out, the cheapest path is usually a small model on a fast inference provider rather than the flagship model everywhere. Build your prototype on free credits, measure the real cost per user, and only then decide whether the project earns its keep.