You can call the powerful AI big language model for free through multiple formal platforms or with trial quotas. Platforms such as OpenRouter, Google AI Studio, Groq, and Mistral all offer free quotas (different requests);Fireworks, Baseten, and Inference.net offer trial fees ranging from US$1 to US$30.
These platforms support a variety of mainstream models, including Llama, Gemma, Qwen, DeepSeek, etc., allowing you to build and test AI applications without upfront investment.
Sometimes you suddenly realize one thing:
In this era and age, what really stops you from doing AI projects is not technology, but money.
You may already know how to write a little bit of Python, know how to tune interfaces, and even mess with Agent systems like OpenClaw. But the moment you are really ready to “connect to the model”, the problem comes:
GPT requires money, Claude requires money, and it is quite expensive to call too much.
As a result, many people stopped at the stage of “knowing how to do it, but not being able to do it”.
It was also in this case that I saw this project:
free-llm-api-resources
It doesn’t have a line of core code, but is surprisingly useful.
What it does is simple–it helps you find all the “big model APIs you can still use for free” and put them in one place.
You don’t need to go through blogs one after another, and you don’t need to ask “Is there a free interface” in various forums. Open this warehouse and you will see a very clear path: there are so many platforms that are providing you with trial quotas or even long-term free calls.
For example, OpenRouter can be used as a “model relay station”, allowing you to switch between different models with one interface;
Google AI Studio gives you a free credit for Gemini;
Groq focuses on extreme reasoning speed;
Mistral provides the official API for open source models;
There are also platforms such as Fireworks, Baseten, and Inference.net, which directly give you trial funds ranging from a few dollars to tens of dollars.
If you look for these things one by one, they are actually quite scattered.
But when they are put in the same warehouse, you suddenly discover one thing:
–It turns out that “there is no money to do AI projects” is often just information asymmetry.
More importantly, these platforms are not “castrated versions”.
The models you can use are actually very strong:
Llama、Gemma、Qwen、DeepSeek……
These models were basically research-level things two or three years ago. Now, you can call directly through the API without even deploying.
The changes this brings are actually quite essential.
In the past, when doing AI applications, you either ran models locally (eating graphics cards) or paid for APIs.
Now there is another path:
You can use “free quota + multi-platform combination” to run a project completely.
In other words, you can:
First use OpenRouter to quickly connect a common model,
Then use Groq to do high-speed reasoning,
Certain tasks are cut to Mistral,
Change platforms when the quota is used up.
It may sound like a “carpool” feel, but it does make one thing feasible:
Turn an AI product from an idea to a prototype at almost zero cost.
If you’ve been juggling with Agents, automation tools, or like I have been trying to string together systems (like OpenClaw), this resource is not the icing on the cake, but the infrastructure.
It will not teach you how to write code, nor will it design the architecture for you.
But it solves a more practical problem:
Are you qualified to start?
Many times, the real threshold is not ability, but what you think there is a threshold.
What this warehouse does is to quietly open the “expensive door” a crack.
Github：https://github.com/cheahjs/free-llm-api-resources
Oil tubing: