Comparing the Costs: Claude Code vs. Goose

The era of artificial intelligence in coding is here, but it comes at a cost – a hefty one. Anthropic’s Claude Code, an AI agent that can write, debug, and deploy code independently, has captured the attention of developers worldwide. However, with pricing ranging from $20 to $200 per month based on usage, it has caused discontent among the very developers it seeks to assist.

In response to this, a free alternative has emerged. Goose, an open-source AI agent developed by Block (formerly known as Square), offers similar functionalities to Claude Code but operates entirely on a user’s local machine. This means no subscription fees, no reliance on the cloud, and no rate limits reset every five hours.

The popularity of Goose is on the rise, with over 26,100 stars on GitHub, 362 contributors, and 102 releases since its launch. The latest version, 1.20.1, was released on January 19, 2026. This growth reflects the pace of development that competes with commercial products in the market.

Developers who have been dissatisfied with Claude Code’s pricing structure and usage restrictions are turning to Goose as a genuinely free option for their work needs. Goose allows developers complete control over their AI-powered workflow, enabling them to work offline, even on airplanes.

The controversy surrounding Claude Code’s pricing has sparked a developer revolt. Anthropic’s subscription tiers, including the free plan with no access, and Pro and Max plans ranging from $17 to $200 per month, have been met with backlash due to new weekly rate limits that are not clearly defined.

In contrast, Goose operates differently by running entirely on the user’s local machine. It can be connected to various AI models and external services, giving developers freedom from subscription fees, usage caps, and concerns about data privacy.

Setting up Goose with a local model involves installing Goose, Ollama (for running models locally), and a compatible language model. The process requires a computer with sufficient RAM and processing power, but smaller models can operate on more modest systems.

The comparison between Goose and Claude Code highlights trade-offs in model quality, context window, speed, and tooling maturity. While Claude Code excels in certain areas, Goose stands out for its autonomy, model agnosticism, and local operation.

Goose competes in a market filled with AI coding tools like Cursor, Cline, Roo Code, GitHub Copilot, and others. Its unique value proposition lies in its autonomy, local operation, and zero cost, making it a compelling choice for developers seeking flexibility and cost-effectiveness.

The AI coding tools market is evolving rapidly, with open-source models improving and narrowing the gap with proprietary offerings. Developers now have a choice between premium-priced commercial products like Claude Code and free alternatives like Goose that offer comparable functionality.

Despite its limitations, Goose provides developers with a tool that respects their autonomy and offers core functionalities at no cost. The availability of Goose and Ollama as free and open-source projects is a significant development in the AI landscape.

For those interested in downloading Goose, it is available on GitHub, while Ollama can be accessed on their respective websites. Both projects are free and open source, providing developers with valuable resources for their coding needs.