Ai Llm Comparison
AI LLM Comparison is a comprehensive, open-source web application built with Next.js 16, TypeScript, Tailwind CSS, Radix UI, and integrated with Vercel Analytics and PostHog, designed to help users compare AI language models across different providers in one centralized platform.

- Author
Ahmet dedeler- Updated
- Live demo
- countless.dev (opens in a new tab)
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About
About AI LLM Comparison
This invaluable resource provides price comparison across major AI providers (OpenAI, Anthropic, Google, Meta, Cohere), an interactive pricing calculator for cost estimation, side-by-side model comparisons highlighting capabilities and limitations, real-time data updates sourced from BerriAI's LiteLLM for accuracy, responsive design for all devices, and completely free access without registration requirements. The platform addresses the growing challenge of AI model selection as the LLM landscape becomes increasingly complex with diverse pricing models, capability differences, and provider-specific features.
Perfect for developers choosing models for production applications, businesses evaluating AI implementation costs, researchers comparing model capabilities for academic work, or students learning about LLM options and pricing structures. By aggregating accurate, up-to-date information from trusted sources and presenting it through an intuitive comparison interface, this tool eliminates the time-consuming process of visiting multiple provider websites and reconciling different pricing structures, enabling informed decisions about AI model selection based on transparent data rather than marketing materials.
Get started
Free, open source, and ready to ship.
Clone the repo, install dependencies, and start customising. AI LLM Comparison is free and open source: its license is in the repository.
- Clone the AI LLM Comparison repository from GitHub.
- Run
npm installorpnpm installto install all required packages. - Run
npm run devto start the development server and begin customizing. - Check the repository’s README and license before you ship.
Terminal
$ git clone https://github.com/Ahmet-Dedeler/ai-llm-comparison $ cd ai-llm-comparison $ npm install $ npm run dev
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FAQ
Frequently asked questions
Everything you need to know before you ship with AI LLM Comparison.
AI LLM Comparison is a comprehensive, open-source web application built with Next.js 16, TypeScript, Tailwind CSS, Radix UI, and integrated with Vercel Analytics and PostHog, designed to help users compare AI language models across different providers in one centralized platform. It is an open source template in the shadcn.io collection of 215.
AI LLM Comparison is made by Ahmet dedeler, an independent developer; shadcn.io lists it but did not make it. Ahmet dedeler has 1 template in the collection, and the author's page lists them.
The listing tags AI LLM Comparison with Next.js, React, Tailwind, Supabase and Full-stack. Those are its categories, not a dependency list: the exact packages and versions are in the repository's package.json.
Yes. The AI LLM Comparison page embeds its live demo from countless.dev, and links to it so you can open the real deployment before you clone.
The AI LLM Comparison listing was last updated on October 8, 2025. That date is the listing's, not the repository's: check the repository's commits for recent activity.
Clone the repository (git clone https://github.com/Ahmet-Dedeler/ai-llm-comparison), then follow the README. The AI LLM Comparison page shows the usual steps and a terminal block with the commands to copy.
Install dependencies with npm install or pnpm install, then run npm run dev. The README in the AI LLM Comparison repository says which package manager and environment variables it needs.
No. AI LLM Comparison is cloned from its own GitHub repository, so shadcn.io isn't involved. Browsing the page and its live demo need no account either; Pro adds the premium templates, the blocks and the MCP server.
AI LLM Comparison is tagged Next.js, so it deploys wherever a Next.js app does, such as Vercel, a Node.js server or a container. Its README may add steps for its own services.
The AI LLM Comparison listing doesn't record a license. Check the LICENSE file in its repository (https://github.com/Ahmet-Dedeler/ai-llm-comparison), and ask the author if there isn't one.
That depends on AI LLM Comparison's license in its repository, which shadcn.io does not set. Read the LICENSE file before you use it in a client or paid project, and ask the author if it is unclear.
Attribution follows AI LLM Comparison's license. Many permissive licenses ask you to keep the copyright notice and license text in your copy; its LICENSE file says exactly what.
No. The Pro license covers shadcn.io's own Pro code, blocks and premium templates. AI LLM Comparison is the author's project, under the terms in its repository.
Ahmet dedeler supports AI LLM Comparison, through its GitHub repository: read the docs, open an issue or look for discussions. shadcn.io does not maintain it.
Yes. Once you clone it, AI LLM Comparison is your own code: change the theme, add pages and connect your backend. It uses shadcn/ui, so you can also add more components the same way.
Yes. Components are free with a free account and the blocks are in Pro; both are copied into your project with the shadcn CLI. Check that AI LLM Comparison uses Tailwind CSS and the shadcn/ui setup (a components.json) before you add them, and pick the base library your project already uses.
Yes, with Pro. The shadcn.io MCP server's search_templates tool finds templates by what they are, and returns each one's repository and live demo, so your editor can set up AI LLM Comparison for you. Your files stay on your machine.
The collection has 11 other open source Supabase templates like AI LLM Comparison, shown at the foot of its page with the ones sharing most categories first. All of them are at /template/category/supabase.
Ahmet dedeler has no other templates in the collection.
Yes. The 14 premium templates (Solaris, Reframe Labs, Spherule and Max and more) are built by shadcn.io and come with every Pro plan, if you want maintained code with a design file.
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