whatcani.runvsCursor

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

whatcani.run

Local AI Infrastructure

Find which AI models can run locally on your hardware

Full review →Website ↗

Cursor

Coding Assistants

Featured

AI-first code editor built on VS Code

Full review →Website ↗
Featurewhatcani.runCursor
CategoryLocal AI InfrastructureCoding Assistants
PricingFreeFree + $20/mo Pro
GitHub Stars—
✓ More stars
50k
PlatformsWebmacOS, Linux, Windows
Key Features
  • ✓ Hardware-based model discovery
  • ✓ Community benchmark data
  • ✓ Local LLM comparison
  • ✓ Token throughput references
  • ✓ Apple Silicon model lookup
  • ✓ AI autocomplete
  • ✓ Chat
  • ✓ Codebase-aware
  • ✓ Multi-model
  • ✓ Tab completion
  • ✓ Composer agent
Pros
  • + Clear utility for local AI buyers and tinkerers
  • + Good fit for high-intent local model searches
  • + Simple concept that is easy to explain
  • + Deep codebase understanding
  • + Built-in AI chat with file references
  • + Familiar VS Code interface
  • + Multi-model support (Claude, GPT-4, etc.)
  • + Fast tab completion
Cons
  • − Narrow use case
  • − Relies on community-submitted data quality
  • − Less useful for hosted API buyers
  • − $20/mo for Pro plan
  • − Fork of VS Code (may lag behind updates)
  • − Can be resource-intensive
  • − Learning curve for AI features
Tags
local llmmodel discoverybenchmarksapple siliconopen modelsinferencellm finder
codingeditoridevscodeai-first

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