Compare and rank text-to-image models on the Text-to-Image Arena leaderboard.
Can I Run AI Locally
Can I Run AI Locally checks which open models a device can run based on GPU, memory, and other hardware details.

About Can I Run AI Locally
Can I Run AI Locally checks which open AI models a device can run on its own hardware. It reads GPU, memory and other hardware details, detecting a GPU or Mac, and then lists open language, coding, image and video models with their VRAM requirements, speed estimates and grades.
Models are sorted into groups: Can run (S/A/B), Tight fit (C/D) and Too heavy (F). Users can also filter by task and license. Speed figures are estimates, not measured results, and some listed models use non-commercial licenses, so the license should be checked before use.
Key features
- Detects GPU or Mac hardware, including VRAM, memory and core count
- Grades open models from S to F based on fit for the detected device
- Shows VRAM requirements and speed estimates for each listed model
- Covers coding, image, video and small on-device model categories
- Filters models by license, including commercial and non-commercial options
- Sorts models by score, parameters, speed, VRAM, context length or popularity
- Compares listed models against detected GPU VRAM, memory and cores
- Groups models by fit, from the can-run tier to the too-heavy tier
- Lets users filter by task and by license
- Speed figures are estimates rather than measured results
- Some listed models use non-commercial licenses, such as FLUX Non-Commercial and CC BY-NC 4.0
Can I Run AI Locally at a glance
- Website
- canirun.ai
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Can I Run AI Locally FAQ
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