Google AntigravityvsOpenRouter

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

Google Antigravity

Coding Assistants

Featured

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

Full review →Website ↗

OpenRouter

LLM APIs & Inference

Unified API for 200+ AI models from all providers

Full review →Website ↗
FeatureGoogle AntigravityOpenRouter
CategoryCoding AssistantsLLM APIs & Inference
PricingFree access; higher capacity via Google AI Pro, Google AI Ultra, and enterprise accessPay-per-use (varies by model)
GitHub Stars——
PlatformsmacOS, Windows, Linux, WebWeb
Key Features
  • ✓ 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
  • ✓ 200+ models
  • ✓ Unified API
  • ✓ Auto-fallback
  • ✓ Rate limiting
  • ✓ Usage tracking
  • ✓ OpenAI-compatible
Pros
  • + 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
  • + Access to 100+ models via one API
  • + Automatic fallbacks
  • + Pay-per-use pricing
  • + Model comparison features
  • + Free models available
Cons
  • − 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
  • − Added latency from proxy layer
  • − Markup on some model prices
  • − Depends on upstream availability
  • − Limited advanced features
Tags
googleantigravitycodingagenticclidesktopsubagentsmcpskills
apimulti-modelgatewayroutingpay-per-use

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