Gemini is not open source, but Google has released some parts of it

Google's Gemini is a closed artificial intelligence system. You cannot see the code that runs it, modify it, or run your own copy. When you use Gemini through Google's website or apps, you are using Google's version on Google's servers, under Google's terms of service.

However, Google has released Gemini Nano — a smaller version of Gemini — in a limited way. Gemini Nano runs on your device rather than on Google's servers, and it is built into some Android phones and other products. But even Gemini Nano is not open source. You still cannot see or modify the underlying code.

This matters because open source means you could theoretically inspect the code for security problems, modify it for your own use, or run it without relying on Google's servers. Gemini does not offer any of those options.

Key Takeaways

  • Gemini is a proprietary system owned and controlled by Google, not an open source project.
  • Google offers Gemini through its own websites and apps, and you access it on Google's terms.
  • Gemini Nano is a smaller version that runs on your device, but it is still proprietary and not open source.
  • If you need an open source alternative to Gemini, projects like Llama (from Meta) and Mistral are available for read and modification.

What "open source" actually means for AI systems

An open source AI system publishes its code publicly so anyone can read it, read it, and modify it. Open source projects usually have a license that explains what you can and cannot do with the code — you might be able to use it for free, or you might have to share your modifications, depending on the license.

Closed systems like Gemini keep the code private. Google publishes research papers about how Gemini works, but the actual code and the trained model weights (the numerical values that make the system behave the way it does) stay inside Google. You cannot read Gemini and run it on your own computer.

This is a business choice, not a technical limitation. Google could release Gemini as open source if it wanted to. The company has chosen not to, partly to maintain control over how the system is used and partly because the trained model represents significant investment.

How Gemini Nano differs from the full version

Gemini Nano is a stripped-down version designed to run on phones and tablets without needing a connection to Google's servers. It is smaller and faster, but less capable than the full Gemini. Google built Nano into Android 14 and later, and it powers some of the on-device features in Google's Pixel phones.

Even though Nano runs locally on your device, it is still proprietary. You cannot read the code, see how it works, or modify it. Google controls the updates, and you get them through your phone's normal update process.

The advantage of Nano is privacy — your conversation stays on your device rather than being sent to Google's servers. The disadvantage is that you have no transparency into what the system is doing or how to change its behavior.

Open source AI alternatives to Gemini

If you want an open source alternative, several projects exist. Llama, released by Meta, is available in open source form and can run on your own computer. Mistral is another open source option. Both have smaller versions that run on regular hardware, similar to what Gemini Nano does.

These alternatives come with trade-offs. Open source models are often less polished than Gemini, and they require more technical knowledge to set up and run. But they give you full transparency and control — you can see exactly what the code does, modify it for your needs, and run it without sending data to anyone else's servers.

If you are not comfortable with command-line tools, open source AI is harder to use than Gemini. If you want privacy and control, it may be worth the extra effort.

Why Google keeps Gemini closed

Google's reasoning is straightforward: Gemini is a product, and keeping it closed lets Google control how it is used and monetize it. The company offers Gemini through Google One subscriptions, through its Workspace products, and through API access for developers who pay per request. An open source version would undercut those revenue streams.

There are also safety arguments. Google says that keeping Gemini closed makes it easier to prevent misuse — if the code is public, someone could modify it to remove safety guardrails. This is a real concern, though open source projects argue that transparency actually makes systems safer because more people can review the code for problems.

Neither position is objectively correct. Closed systems can be safer or less safe depending on how well Google secures them. Open source systems can be safer or less safe depending on how many people review them and how quickly problems get fixed.

What this means for your choices

If you use Gemini through Google's website or apps, you are agreeing to Google's terms of service and accepting that Google controls the system. Your conversations may be used to improve the model, depending on your settings. You have no way to verify what Gemini is doing or to modify its behavior.

If privacy and control matter to you, you have options. You can use an open source model on your own computer, or you can use a different closed system that offers better privacy terms. You can also straightforward choose not to use AI systems at all.

The choice between open and closed systems is not about which is objectively better — it is about what trade-offs you are willing to accept. Closed systems are usually easier to use and more polished. Open systems give you transparency and control but require more technical skill.

Frequently Asked Questions

Can I read Gemini and run it on my own computer?

No. Gemini is only available through Google's services. You cannot read the code or the trained model. If you want to run an AI system locally, you would need to use an open source alternative like Llama or Mistral.

Is Gemini Nano open source?

No. Gemini Nano is proprietary, even though it runs on your device. You cannot see the code or modify it. Google controls all updates and changes.

Will Google ever open source Gemini?

Google has not announced plans to do so. The company has released some research and smaller experimental models, but the main Gemini system remains closed. This could change in the future, but there is no indication it will.

What is the most popular open source AI alternative?

Llama, released by Meta, is widely used. Mistral is another popular choice. Both have smaller versions that run on regular computers. The best choice depends on what you want to do and how much technical knowledge you have.

Does using Gemini mean Google owns my conversations?

Google's terms of service allow the company to use your conversations to improve Gemini, depending on your account settings. You can turn off this setting in most cases. With an open source system running on your own computer, your conversations stay completely private.