NNick Ponte· 152K subscribers

Claude Code for FREE?! I Tested It Against the Paid Version

11 min videoNov 7, 2026The notes cover it

Ollama can connect Claude Code to a different model, but weigh setup time, hardware, and output quality against the paid Claude plan.

  • Install Ollama and Claude Code, then run `ollama launch claude` or configure the connection manually.
  • Choose a tool-capable model and raise its context window to at least 64,000 tokens; larger windows use more memory.
  • Compare both setups on the same task, tracking time, first-try success, and fixes before choosing.

The setup advice and comparison method are covered here; no test results are reported in the transcript. · Best for: Claude Code users deciding whether to use a local model or pay for Claude.

The video explains that Ollama lets Claude Code connect to a different model, including one running locally; it does not provide free access to Claude models. The transcript describes a comparison test but does not give its results.

What the free setup actually means0:51

  • Claude Code is the tool; the model supplying the AI is separate.
  • Ollama provides an Anthropic-compatible API so Claude Code can connect to another model.

Setup and hardware requirements1:56

  • Install Ollama and Claude Code, then use `ollama launch claude` for the simpler setup.
  • The manual setup uses an `ANTHROPIC_AUTH_TOKEN` value of `ollama`, an empty API key, and a base URL pointing to the local machine.
  • Check the connection with `/status` in Claude Code.
  • Pick a model that supports tools and set a context window of at least 64,000 tokens; the stated default can be just 4,000 tokens on computers with under 24 GB of video memory.
  • Larger models and context windows need more resources; the video notes that large models can be slow without a strong graphics card.

Ollama cloud models2:56

  • Cloud models run on Ollama's computers, so they do not require a powerful local machine.
  • The free plan includes starter credits and a small set of starter models; other cloud models may require a paid plan or purchased credits.
  • Cloud prompts go to Ollama's servers. The video says Ollama does not train models on them.

The proposed comparison test4:59

  • The presenter describes running the same dog-grooming website prompt with paid Claude and a free local model.
  • The planned measures are duration, whether the page opens, mobile appearance, and the number of fixes needed.
  • The transcript does not report the outcomes of this test.

How to evaluate the trade-off6:55

  • Run the same small task in both setups and record the model name, time, first-try success, and number of fixes.
  • Results depend on the computer and model, and available model recommendations can change; check Ollama's current pages.
  • Before publishing generated work, open the page, click every button, and test the form.
  • The video suggests local models for drafts, practice, and low-stakes work, and paid Claude for important, time-sensitive jobs.

Cost and tool choice8:58

  • Local software has no usage limit in the described setup, but can cost time, require stronger hardware, or produce lower-quality results.
  • Compare the full cost of setup, waiting, fixes, and checking—not just the subscription price.
  • The video says Ollama can launch Claude Code, Codex, and Open Code through one launch command.

Step by step

  1. Install Ollama and Claude Code.
  2. For the easy setup, run `ollama launch claude` in the terminal. Alternatively, configure the token, API key, and base URL manually.
  3. In Claude Code, run `/status` to confirm what it is connected to.
  4. Choose a model that supports tools and set its context window to at least 64,000 tokens; check that your computer has enough memory.
  5. Give both the paid and alternate-model setups the same small task and prompt.
  6. Record the model name, time taken, first-try success, and number of fixes; then inspect and test the output.

Tools & resources mentioned

  • Ollama documentation: setup, model requirements, context-window guidance, and current model recommendations.
  • Ollama pricing page: cloud-plan and credit information.
  • Claude Code `/status`: check which model connection is active.
  • Stopwatch and a simple dated sheet: record and compare test results.

Notes are AI-generated from the video's transcript and may miss nuance.