Clerk has launched the LLM Leaderboard, a transparent benchmark showing how different large language models (LLMs) perform when writing Clerk-specific code.
As more developers use AI assistants to build their applications, having clear, objective data on which LLMs are best at writing Clerk integrations helps developers choose the right AI tool for their projects.
The leaderboard evaluates LLMs based on their ability to generate working Clerk integration code from simple, real-world prompts. Each model is tested using the same criteria and scenarios to ensure fair comparison.
Current tests focus on Next.js integrations, with plans to expand to additional frameworks and use cases over time.
Check out the LLM Leaderboard to see the latest performance scores across popular models.
The eval suite is open source. To learn about the testing methodology, report issues, or if you want to contribute, visit the GitHub repository. If you want to get involved or provide feedback on how Clerk works with AI tooling, with us.
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