This Stealth Model Makes Claude Code Free. Here's How.

This Stealth Model Makes Claude Code Free. Here's How.

🎙 Nate Herk | AI Automation 👥 964K 📅 August 21, 2026 ⏱ 13 min 👁 35K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

Claude CodeOpenRouterfree modelsStealth OX AlphaAI coding

Summary

The video presents a method to use free AI models, specifically Stealth OX Alpha, within the Claude Code harness via OpenRouter. The creator demonstrates the setup process, which involves creating an OpenRouter account, obtaining an API key, and modifying the Claude Code settings file to route requests to the free model. He tests the setup on three tasks: building a landing page, generating a YouTube analytics report, and performing knowledge work. The results show that the free model can complete these tasks but is significantly slower than paid models like Claude Opus, taking hours instead of minutes. The creator also notes occasional API errors and the need to work in smaller chunks. He highlights the trade-offs, including data privacy concerns due to the anonymous nature of the model provider, and suggests using the free model as a fallback when credits are exhausted. The video concludes with a recommendation to try it for light tasks and to consider using OpenRouter’s free models router for variety.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear, step-by-step tutorial that is easy to follow, with real demonstrations of the setup and testing. The creator’s argumentation is based on personal experience and anecdotal evidence, which is valuable for practical insights but lacks rigorous benchmarking. He honestly acknowledges the limitations of free models, such as speed and reliability, and provides a balanced view of when they are suitable. The value lies in the practical knowledge shared, enabling viewers to replicate the setup and make informed decisions.

Scientific Rigor, Source Quality, Title Accuracy

The video cites OpenRouter as the primary source for free models, and the description includes links to the creator’s resources and tools. However, no external scientific or technical sources are referenced, and the claims about model performance are not backed by systematic testing. The title accurately reflects the content, and the video is well-structured with clear timestamps. The creator’s expertise is evident, but the lack of external validation limits the scientific rigor.

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Title / Content Match

The title accurately reflects the content: the video demonstrates how to use free models like Stealth OX Alpha within Claude Code, fulfilling the promise of making Claude Code free.

Quality & Reliability

6/10

The video provides a practical tutorial with real demonstrations, but relies on anecdotal evidence and lacks rigorous testing or external verification. The model's anonymous nature raises data privacy concerns that are acknowledged but not deeply explored.

Chapters

Cited Sources

  • OpenRouter — Platform used to access free AI models and obtain API keys.
  • Claude Code — AI coding assistant harness used in the tutorial.
  • VS Code — Recommended IDE for using Claude Code with custom models.

Concurring Sources

  • OpenRouter — The platform used to access free models, consistent with the video's claims.

External References

Contribution & Novelties

The video offers a practical, hands-on guide to using free AI models within Claude Code, a topic not widely covered. It provides real-world test results and honest assessments of performance, which is valuable for users seeking cost-effective alternatives. The creator also introduces the concept of using OpenRouter’s free models router for dynamic model selection.

Pour aller plus loin :

  • OpenRouter — The platform central to the tutorial, offering access to numerous free and paid models.
  • Claude Code — The AI coding assistant harness used in the video.
  • VS Code — The recommended IDE for configuring Claude Code with custom models.

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Radar Profile

The radar profile shows a balanced but moderate performance across all dimensions, with slightly higher scores in information quantity and technical level, reflecting the tutorial's practical nature. The lower reliability score indicates the reliance on anecdotal evidence and lack of external validation.

Reliability 5/10

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