LM StudiovsGoogle Antigravity

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

LM Studio

Local AI Infrastructure

Beautiful desktop app for running local LLMs

Full review →Website ↗

Google Antigravity

Coding Assistants

Featured

Google agent-first coding platform with Antigravity 2.0 and Antigravity CLI

Full review →Website ↗
FeatureLM StudioGoogle Antigravity
CategoryLocal AI InfrastructureCoding Assistants
PricingFreeFree access; higher capacity via Google AI Pro, Google AI Ultra, and enterprise access
GitHub Stars——
PlatformsmacOS, Linux, WindowsmacOS, Windows, Linux, Web
Key Features
  • ✓ Model discovery
  • ✓ One-click download
  • ✓ Chat UI
  • ✓ OpenAI-compatible API
  • ✓ GPU acceleration
  • ✓ GGUF support
  • ✓ Antigravity 2.0 desktop app
  • ✓ Antigravity CLI
  • ✓ Subagents
  • ✓ Asynchronous background tasks
  • ✓ Skills and plugins
  • ✓ Hooks
  • ✓ MCP server support
  • ✓ Chrome and web-search interaction
  • ✓ Gemini CLI migration
Pros
  • + Beautiful desktop UI
  • + One-click model downloads
  • + OpenAI-compatible local server
  • + Automatic GPU optimization
  • + Great for beginners
  • + Official Google agent-first development platform
  • + Desktop and terminal surfaces share the same agent harness
  • + Supports parallel subagents and asynchronous workflows
  • + Supports skills, plugins, hooks, and MCP servers
  • + Direct migration path for Gemini CLI users
Cons
  • − macOS/Windows only (no Linux GUI)
  • − Closed-source
  • − Limited advanced configuration
  • − Slower than Ollama for API use
  • − Gemini CLI consumer and free access migrates to Antigravity on June 18, 2026
  • − Not all Gemini CLI features have exact one-to-one parity at launch
  • − Pricing and capacity depend on Google account or enterprise access
  • − Autonomous agent changes still require review and permission controls
Tags
localllmdesktopinferenceprivacy
googleantigravitycodingagenticclidesktopsubagentsmcpskills

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