ChatGPT itself is not open source, but OpenAI has released some related tools that are
ChatGPT, the chatbot you interact with on OpenAI's website or through their API, runs on proprietary code. You cannot see the source code, modify it, or run your own version. OpenAI keeps the underlying model and training methods private.
However, OpenAI has released Whisper (speech recognition) and Triton (a programming language for GPU computing) under open source licenses. These are real tools you can download, study, and modify — but they are not ChatGPT itself. The confusion often happens because people assume "from OpenAI" means "open source," which is not the case.
If you want to use ChatGPT, you pay OpenAI for access through their website, their mobile app, or their API. You do not own or control the software running behind it.
Key Takeaways
- ChatGPT's code and training methods are proprietary; OpenAI does not publish them or let you run your own copy.
- You access ChatGPT by paying OpenAI directly through their website, app, or API — there is no free open source version to download.
- Open source alternatives to ChatGPT exist, such as Llama (from Meta), Mistral, and Falcon, and you can download and run these on your own computer.
- OpenAI has released some separate tools under open source licenses, but these are not ChatGPT and do not replace it.
- The difference matters if you need to modify the software, run it offline, or avoid paying per-use fees.
Why OpenAI keeps ChatGPT proprietary
OpenAI's business model depends on controlling access to ChatGPT. They invested billions in computing power and training data to build the model, and they recoup that cost by charging users. Releasing the source code would let competitors copy it immediately and undercut their pricing.
Keeping the code private also lets OpenAI control how the model is used. They can refuse to serve certain requests, update the system without users having to download patches, and monitor for misuse. An open source version would be much harder to control once it was out in the world.
This is a common trade-off in software: open source projects prioritize transparency and user control, while proprietary software prioritizes the company's revenue and ability to steer the product's direction.
Open source alternatives that work similarly to ChatGPT
Llama 2, released by Meta in 2023, is the most widely used open source alternative. You can download it, run it on your own computer (if your hardware is powerful enough), modify it, and use it without paying Meta. The model is smaller and less capable than ChatGPT, but it is genuinely free and under your control.
Mistral 7B and Mistral Large are smaller models from Mistral AI that run faster on consumer hardware. Falcon, from the Technology Innovation Institute, is another option. All three are open source, meaning you can inspect the code and see how they work.
The trade-off is real: these models are less powerful than ChatGPT, they require more technical setup, and running them locally uses your own electricity and computing power. But you own the software and do not pay per message.
What "open source" actually means in this context
When software is open source, the source code is published and anyone can read it, modify it, and redistribute it. Most open source projects use a license like MIT, Apache 2.0, or GPL that spells out what you can and cannot do with the code.
For a language model like Llama, "open source" means you can download the trained model weights (the numbers that make the AI work), run it on your own hardware, and modify it for your own purposes. You cannot necessarily sell it or claim you built it, depending on the license — but you can use it without paying the original creator.
Proprietary software like ChatGPT is the opposite: you cannot see the code, you cannot modify it, and you can only use it the way the company allows. You are renting access, not owning the software.
How to run an open source alternative on your own computer
If you want to try Llama or another open source model, you will need a computer with a decent graphics card (GPU) — the more powerful, the faster it runs. You download the model files (which can be several gigabytes), install software like Ollama or LM Studio that runs the model locally, and then chat with it through a simple interface.
The setup takes 15 to 30 minutes if you follow a guide. The model runs entirely on your machine, so your conversations are not sent to anyone's server. You do not pay per message, though you do pay for the electricity to run it.
For people without a powerful GPU, services like Hugging Face let you run open source models in the cloud for free or low cost. The experience is similar to ChatGPT, but the underlying model is open source and you are not locked into one company's pricing.
When proprietary ChatGPT makes more sense than open source
ChatGPT is faster, more capable, and requires no setup. You open a web browser and start typing. You do not need to own powerful hardware or understand how to install software. OpenAI handles all the computing on their servers.
If you need the best possible answers, ChatGPT is still ahead of most open source models. If you use it occasionally and do not mind paying per message, the convenience is worth the cost for many people.
ChatGPT also includes features like file uploads, image generation (with GPT-4 Vision), and integration with third-party tools through plugins. Open source models are catching up, but they do not have all these features yet.
The licensing difference if you build something with either option
If you build a product or service using ChatGPT's API, you pay OpenAI for each request and you agree to their terms of service. You cannot use ChatGPT to train a competing AI model, and you cannot claim your product is "powered by ChatGPT" without permission.
If you build something using an open source model like Llama, the license usually lets you use it commercially, modify it, and redistribute it — as long as you follow the license terms (which often just require you to credit the original creators). You own what you build.
This matters if you are starting a company or a project you plan to sell. Open source gives you more freedom, but you also take on the responsibility of maintaining and improving the model yourself.
Frequently Asked Questions
Can I download ChatGPT and run it on my own computer?
No. ChatGPT's code is proprietary and OpenAI does not publish it. You can only access it through OpenAI's website, app, or API, and you pay for each use. If you want to run a language model locally, you need to use an open source alternative like Llama or Mistral.
Is there a free version of ChatGPT that is open source?
No, but there are free open source alternatives that work similarly. Llama 2, Mistral, and Falcon are all free to download and use. They are less powerful than ChatGPT, but they cost nothing and you control them completely. You can run them on your own computer or through free cloud services.
What does it mean if a model is "open source"?
Open source means the code and model weights are published and you can download them, study them, modify them, and use them without paying the creator. The license spells out the rules — usually you can use it freely but cannot claim you built it or sell it as your own.
Will OpenAI ever open source ChatGPT?
OpenAI has not announced plans to do so. Their business depends on controlling access to ChatGPT and charging for it. They have released some smaller tools under open source licenses, but the main ChatGPT model is likely to remain proprietary.
If I use an open source model, do I have to share my changes with everyone?
It depends on the license. Some open source licenses (like GPL) require you to share changes if you redistribute the software. Others (like MIT or Apache 2.0) let you modify it and keep your changes private. Read the license before you start building.