Use Claude Code for Free and Without Limits, Running on Your Own Machine

By Nokka | September 11, 2026

This article was written by AI (deepseek-v4.1-flash) through Hermes Agent, reviewed and edited by Nokka.

Claude Code is the coding tool everyone talks about this year, but usage-based pricing keeps a lot of people from using it as much as they want.

The workaround more people are discovering is pointing Claude Code at a model running on your own hardware. No per-request billing [1].

How it actually works

Claude Code talks to a model through environment variables that define a server address. Point that address at a local server instead of the company's, and every request goes to your machine [2].

The idea is not complicated. It is just not widely known, because most documentation covers only the standard setup.

The shortest path to a working setup

Ollama ships a command that configures everything automatically, which cuts the setup down to almost nothing [3].

Install Ollama, pull the model you want, then run one command: ollama launch claude and pick your model, or pass it directly with ollama launch claude --model <name>.

To configure it yourself, set three environment variables. Server address to localhost, port 11434, the token variable to the word ollama, and the key variable to an empty value [2].

The token variable is where people get it wrong. Set it empty and the connection fails. It has to be the word ollama.

Which model should you run

The options fall into a few groups [2][3].

Code-specialized models built for this exact job give the best results when editing code.

Mid-size models in the 20-30B range suit machines with 32 GB of RAM or more and handle a wider range of work.

Small models at 7-14B run on ordinary hardware, but their ability on complex tasks is limited by size.

The thing to understand: local models still do not match frontier cloud models on multi-step reasoning. Setting expectations correctly matters more than picking the perfect model.

Trade-offs against paying for cloud

	Local model	Cloud model
Cost per request	None	Usage-based
Speed	Your hardware	Their queue
Privacy	Code never leaves	Code is sent off-site
Capability	Limited by model size	Best available
Works offline	Yes	No
First-time setup	Takes a while	Sign up and go

What most posts leave out

One "Free and unlimited" needs interpretation. It is free of service fees, but you already paid for the hardware and you pay for power. And responses take longer if the machine is weak.

Two Local models follow complex instructions less reliably than cloud models. Pointed at a large unfamiliar codebase, you may get answers that look right and are not.

Three Redirecting the server address means all your code flows through your own machine. Great for privacy, but be careful doing this on a shared computer.

Four Some Claude Code features depend on capabilities specific to the original model and may not work fully against something else. Testing against your own real workload is the only reliable answer.

From someone who writes code with AI daily

I work with AI for both writing and small scripts, and I have set up local-model workflows before.

What I learned is that speed matters less than accurate expectations. A slower local model that gives a usable answer immediately beats a fast one that answers wrong and needs correcting.

Another angle people skip is privacy. A lot of local work involves data you would rather not send anywhere. Knowing code never leaves the machine is worth something you cannot put a number on.

My advice is to use both. Cloud for the hardest work, local for the routine and sensitive parts, and adjust the ratio as your budget allows.

References

[1] DataCamp, "Using Claude Code With Ollama Local Models" (2026), https://www.datacamp.com/tutorial/using-claude-code-with-ollama-local-models

[2] Nguyen, L., "Run Claude Code with Local & Cloud Models in 5 Minutes (Ollama, LM Studio, llama.cpp, OpenRouter)", Medium (2026), https://medium.com/@luongnv89/run-claude-code-on-local-cloud-models-in-5-minutes-ollama-openrouter-llama-cpp-6dfeaee03cda

[3] MindStudio, "How to Run Claude Code for Free Using Ollama and Open Router" (2026), https://www.mindstudio.ai/blog/how-to-run-claude-code-free-ollama-open-router