Claude Code Now Free: A Guide to Using Local and Cloud Models with Ollama

With Ollama's announcement of Anthropic API compatibility, the Claude Code AI coding assistant can now run for free with both local and cloud models.

Claude Code Now Free: A Guide to Using Local and Cloud Models with Ollama

A significant development has occurred for users of AI-powered coding tools. The Ollama platform announced compatibility with Anthropic's Messages API. This development means that Anthropic's popular coding assistant Claude Code can now be used for free.

The Cost Barrier is Removed

Claude Code had rapidly gained popularity among professional software developers and amateur coders since its launch in early 2025. However, the tool's cost, ranging from $100 to $200 per month, posed a barrier for many users. With Ollama's move, users can now access the Claude Code experience without paying a fee.

What is Ollama?

Ollama is a software tool that allows users to run large language models offline on their own computers. The platform, which supports efficient model formats like GGUF, offers privacy-focused and cost-effective AI solutions. With these features, Ollama is expanding AI accessibility.

Installation and Usage Process

There are four basic steps for users who want to use Claude Code for free:

  • Downloading and installing the version suitable for the operating system from Ollama's official website
  • Downloading preferred open-source models to the local system
  • Completing the installation of Claude Code
  • Starting to write code

Users can choose local models like gpt-oss:20b or cloud-based models like qwen3-coder:480b-cloud. While cloud models offer a limited number of free uses, local models can be used completely free of charge.

Performance and Limitations

Experts note that free models will not offer the same performance as Anthropic's top-tier models. However, it is stated that current open-source models will be sufficient for purposes like creating demos, developing MVPs, and learning Claude Code. This development in the AI tools ecosystem is evaluated in parallel with the proliferation of AI-focused platforms.

Technology analysts emphasize that this development is a significant step towards the democratization of AI tools. Easier access to AI-assisted coding is expected, especially for students, independent developers, and institutions with budget constraints.

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