Open Source AI Models: Why We Only Use MIT/Apache 2.0

Every AI model powering Free.ai's core tools is released under either the MIT or Apache 2.0 open-source license. This is not just a technical detail — it is a fundamental commitment that directly benefits every user of the platform.

MIT and Apache 2.0 are the most permissive open-source licenses. They allow anyone to use, modify, distribute, and even commercialize the software without restriction. This means the AI tools you use on Free.ai are built on technology that is freely available to the entire world, auditable by security researchers, and not controlled by any single corporation.

Why does this matter? First, transparency. When the model weights and training code are open, independent researchers can verify what the model does, how it was trained, and whether it has biases or safety issues. Closed-source models are black boxes — you have to trust the company. Open-source models can be verified. Second, longevity. If Free.ai disappeared tomorrow, every model we use would still be freely available. Your workflows are not locked into a proprietary system.

Third, privacy. Because we run open-source models on our own infrastructure, your data never leaves Free.ai's servers. There are no API calls to OpenAI, Google, or Anthropic for core tools. We control the entire stack from model weights to inference servers. Fourth, cost. Open-source models eliminate licensing fees, which is a key reason we can offer everything for free.

The open-source AI ecosystem is thriving. Models like Qwen (Alibaba), FLUX (Black Forest Labs), Kokoro, Whisper (OpenAI), and dozens more prove that open-source can match or exceed proprietary alternatives. We evaluate new models constantly and add the best ones to the platform as they become available.