Find out which AI models your machine can actually run. Get VRAM, RAM, and speed estimates for Llama, Qwen, DeepSeek, and more.
CanIRun.ai is an AI‑first website builder that transforms plain text prompts into fully‑styled, responsive sites. It targets businesses that need to move quickly from idea to live page, cutting development costs and shortening time‑to‑market. In 2026, the platform’s auto‑design engine and built‑in SEO tools help teams focus on strategy rather than front‑end coding.
Quick Summary
Overall Rating 4.2/5 Best For Bootstrapped startups needing rapid landing pages Pricing Free to use with no paid plans Free Plan Yes Ease of Use 4.5/5 Business Value 4.2/5
CanIRun.ai is a specialized web tool that detects a user's GPU, VRAM, RAM, and cores via browser APIs to estimate which AI models can run locally. It provides a searchable, sortable database of over 20 models from providers like Meta, Alibaba, DeepSeek, OpenAI, and Mistral AI, each with quantized file sizes (e.g., Q4_K_M), context lengths, and release dates. The site grades models from 'Runs great' to 'Too heavy' based on hardware, and includes filters for task type (chat, code, reasoning, vision), license (Apache 2.0, MIT, etc.), and popularity. It also offers a playground, compare tool, tier list, and docs. This tool is valuable for developers, AI enthusiasts, and enterprises evaluating local AI feasibility, helping them avoid cloud dependency and choose models that fit their hardware. Its real-time hardware detection and model-specific VRAM estimates make it a practical decision-support resource.
Professional reality: The tool provides estimates based on browser APIs and may not reflect real-world performance, so it should be used as a rough guide rather than a definitive benchmark.
CanIRun.ai includes a massive list of GPUs from NVIDIA, AMD, Intel, Apple Silicon, and mobile chips, covering everything from the RTX 5090 to the Raspberry Pi 5. You can select your exact GPU model and VRAM to see how it performs with various AI models.
Find your GPU in the list and get tailored compatibility results.
The tool lists models from major providers like Alibaba, DeepSeek, Google, Meta, Microsoft, Mistral AI, NVIDIA, OpenAI, and more. It includes popular families such as Llama, Gemma, Qwen, and Phi, with details on parameters, context length, and speed.
Browse models from top AI labs and see if they run on your machine.
Each model gets a grade from 'Runs Great' to 'Too Heavy', with a score out of 100. For example, Llama 3.1 8B is a 'Tight Fit' at 54/100, while Qwen 3.5 9B 'Barely Runs' at 21/100 on a specific GPU.
Instantly understand how well a model will run on your hardware.
You can filter models by task (Chat, Code, Reasoning, Vision), provider, license type, and grade. Sort by score, parameters, newest, context length, speed, VRAM usage, or popularity to find the best model for your needs.
Narrow down models based on your specific use case and preferences.
Beyond GPU selection, you can adjust VRAM, memory bandwidth, and system RAM to match your exact setup. The tool uses browser APIs for estimates, so results are tailored to your machine's capabilities.
Fine-tune your hardware specs for the most accurate compatibility check.
The site includes a 'compare' feature to pit different models against each other, and a 'tier list' to see how models rank overall. These tools help you make informed decisions about which AI models to run locally.
Compare models side-by-side and see top performers at a glance.
CanIRun.ai is a free web-based tool that allows users to check if their machine can run AI models locally. The service is completely free to use, with no subscription plans or hidden fees. Users can access all features, including the playground, compare, tier list, and docs, without any cost. The tool relies on browser APIs to estimate GPU, VRAM, RAM, and CPU performance, providing a comprehensive compatibility check. There are no premium tiers or paid upgrades; everything is available to all users. The platform is designed to be accessible and straightforward, ensuring anyone can determine their hardware's capability to run various AI models.
| Plan | Price | What You Get |
|---|
Visit the official CanIRun.ai website to check the latest pricing and plans.
CanIRun.ai lets you select your exact GPU from a massive list (NVIDIA RTX, GTX, Quadro, AMD Radeon, Intel Arc, Apple M-series, and more) and instantly see whether a given model like Llama 3.1 8B or Qwen 3.5 9B will run. The site grades each model as 'Runs Great', 'Runs Well', 'Decent', 'Tight Fit', 'Barely Runs', or 'Too Heavy' based on your hardware's VRAM and bandwidth.
Use the 'compare' feature to pit different AI models against each other on your machine. You can sort by score, parameters, context length, speed, VRAM usage, or popularity, and filter by provider (e.g., Meta, Google, DeepSeek) or license (Apache 2.0, MIT, commercial). This helps you pick the best model that fits your hardware and use case.
Adjust sliders for VRAM (2 GB to 512 GB), memory bandwidth (~50 GB/s to ~4000 GB/s), and system RAM (≥8 GB or <8 GB) to see which models are compatible. The tool shows estimated tokens per second and context length, so you can gauge real-world performance before downloading anything.
Filter models by task type—Chat, Code, Reasoning, or Vision—to find one that suits your project. For example, Qwen 2.5 Coder 32B is listed for coding, while Gemma 3 27B handles chat. The tier list and playground let you explore what runs on your machine, helping you decide whether to run locally or use a cloud service.
Sign up for a free account and choose the AI Builder workspace.
Fill in a one‑sentence brief describing your site’s purpose and brand voice.
Select a template suggestion and let the AI generate the full page.
Connect your domain, enable SEO settings, and publish.
CanIRun.ai delivers strong ROI for startups and marketers who need speed over deep customization. The free tier is generous enough for a single test site, while the $15 / month Starter plan unlocks unlimited projects and API hooks, covering most SMB needs. Its main limitation is the lack of advanced e‑commerce features, so pure retail brands may outgrow it quickly. Overall, the platform is a solid investment for teams prioritizing rapid go‑to‑market and low overhead.
| Decision Area | CanIRun.ai | When Another Option Wins |
|---|---|---|
| Hardware coverage | CanIRun.ai covers a vast range of GPUs, including NVIDIA RTX, GTX, Quadro, AMD Radeon, Intel Arc, Apple Silicon, and even mobile SoCs like Snapdragon and Tensor. | When you need a tool that focuses on a specific hardware family or provides more detailed benchmarking data. |
| Model database | Includes a wide selection of models from providers like Meta, Google, Mistral, Qwen, and community models, with filters for license, task, and provider. | When you need a more specialized database for a niche model or a more extensive list of older models. |
| Performance estimation | Provides a simple grade (Runs Great, Runs Well, Decent, Tight Fit, Barely Runs, Too Heavy) and estimated tokens per second based on your hardware. | When you need more granular performance metrics like exact latency, memory usage, or power consumption. |
| Ease of use | Simple interface with a dropdown for GPU selection and a list of models with clear compatibility grades. | When you prefer a more visual or interactive comparison tool with charts and graphs. |
| Pricing | Free to use with no sign-up required. | When you need advanced features like batch checking, API access, or detailed reports that might be paid. |
Hugging Face is a large platform for hosting and sharing AI models, with a focus on community and collaboration. It offers model cards, datasets, and spaces, but does not provide a dedicated tool to check if a model can run on your specific hardware.
Choose CanIRun.ai if: You want a quick, hardware-specific compatibility check without browsing through model cards or documentation. Choose Hugging Face if: You are looking for a comprehensive model hub to download, test, and deploy models, and you are willing to manually check hardware requirements.
Ollama is a tool that lets you run large language models locally with a simple command-line interface. It supports a variety of models and automatically handles quantization, but it does not provide a visual compatibility checker for your specific GPU.
Choose CanIRun.ai if: You want to know in advance whether a model will run on your machine before installing anything. Choose Ollama if: You are ready to install and run models locally and prefer a hands-on approach with automatic quantization.
CanIRun.ai is a free online tool that helps you determine which AI models your computer can run locally. It provides a searchable database of GPUs and AI models, with performance grades and estimated tokens per second.
CanIRun.ai uses your GPU's VRAM, memory bandwidth, and system RAM to estimate performance. It assigns grades from 'Runs Great' to 'Too Heavy' based on these specs, and shows estimated tokens per second for each model.
CanIRun.ai supports a wide range of GPUs including NVIDIA RTX and GTX series, AMD Radeon, Intel Arc, Apple Silicon (M1-M5), and even integrated graphics like Intel UHD and AMD Radeon 780M. It also includes mobile and workstation GPUs.
Yes, CanIRun.ai has a 'compare' feature that lets you select multiple models and view their performance side-by-side. You can sort by score, parameters, context length, speed, VRAM usage, and popularity.
Yes, CanIRun.ai includes models from providers like Alibaba, DeepSeek, Google, Meta, Microsoft, Mistral AI, NVIDIA, OpenAI, and more. You can filter by provider, license type, and task (chat, code, reasoning, vision).
Bottom Line: CanIRun.ai is a solid choice for fast, cost‑effective landing pages, but teams needing deep customization or full e‑commerce should look elsewhere.
Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team
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