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Compare/Google Antigravity vs Cursor

Google AntigravityvsCursor

Generated from the two spec rows. Green marks the better value where a spec has a clear direction. Everything else is just different.

Google Antigravity
Google · AI-native IDE
#68MCP
Panel
6.0
1 spec wins
Reliability
5.3
Usefulness
6.7
Cost
6.2
Longevity
5.8

“Google's own IDE ships Claude and gpt-oss next to Gemini, the most honest model review Google has ever published.”

Cursor
Anysphere · AI-native IDE
#12MCP
Panel
6.8
0 spec wins
Reliability
7.0
Usefulness
7.7
Cost
5.5
Longevity
6.8

“Twenty dollars a month, then 3x, then 20x, and the page never says 20x of what.”

Spec by spec

SpecGoogle AntigravityCursor
Architecture
CategoryAI-native IDEAI-native IDE
Runslocallocal, cloud
Platformsmacos, linux, windowsmacos, linux, windows
Context windownot documented200k default, up to 1M tokens on select models
Protocols
MCP clientYesYes
MCP serverNoNo
Capabilities
Runs terminal commandsYesYes
Multi-file editsYesYes
Git operationsYesYes
Browser controlYesA first-party browser subagent drives Chrome from a separate profile with allowlist/denylist controls (https://antigravity.google/docs/ide/browser/); IDE-side only, not in the agy CLI. Yes
Sandboxed executionYesOS-level isolation rather than containers: "no virtual machines or Docker images to manage" - Linux uses kernel namespaces to isolate the filesystem, hide host processes and cut networking; macOS uses sandbox-exec with Seatbelt (SBPL) profiles. Yes
Multi-agent orchestrationYesYes
Headless / CI modeYesYes
Models
BackboneGemini 3.1 Pro, Gemini 3.8 Flash, Claude Sonnet 4.6, Claude Opus 4.6, gpt-oss-120bClaude, GPT, Gemini, Grok, Composer, Kimi, GLM
Bring your own modelYesSetting `modelProvider: "gemini"` in ~/.gemini/antigravity-cli/settings.json plus a GEMINI_API_KEY runs the CLI on your own key and billing instead of a signed-in Google account, and a model selector picks between Gemini, Claude and gpt-oss models in the IDE. YesYour own keys reach the vendors' own models (OpenAI, Anthropic, Google) plus your own Azure OpenAI deployment or AWS Bedrock account; Tab completion always stays on Cursor's models.
Local modelsYesGOOGLE_GEMINI_BASE_URL sends model requests to any Gemini-compatible endpoint, so a self-hosted shim works as a mechanism; no Ollama or LM Studio integration is documented. NoCustom API keys are limited to OpenAI, Anthropic, Google, Azure OpenAI and AWS Bedrock, with no documented base URL override, so Ollama, LM Studio or a self-hosted endpoint cannot be pointed at.
Cost
Pricing modelmixedmixed
Starts at$20/mo$20/mo
Free tierYesYes
Bring your own keyYesYes
Openness
Open sourceNoNo
Licenseproprietaryproprietary
GitHub stars2,446n/a

Which one would each critic pick

CriticGoogle AntigravityCursorPick
El Juez——not enough reviews
El Amigo7.07.8Cursor — The best editor experience today, with a subscription that turns into a meter the moment you push the agent hard.
El Crítico6.36.5Cursor — The sandbox is a property of the run mode you pick, and Run Everything drops it, while the pricing page turns limits into a ladder of tiers to climb.
El Profesor6.36.0Google Antigravity — No benchmark is published; the design bet is verification by artifact, with plans, walkthroughs and screenshots the human reviews instead of raw tool logs.
La Inversora7.38.3Cursor — Real revenue, real pricing power, an in-house model, and a dependency on the labs it competes with for every frontier request.
La Jefa5.37.5Cursor — Teams at $40 per user with SSO, but SCIM, audit logs and auto-run controls sit behind a custom Enterprise quote.
El Hacker4.04.5Cursor — A closed fork of an open editor with a good MCP client; I can add keys and servers, but I cannot read it or run it offline.

Picks are derived from each critic's own scores. Humans vote on matchups on the duels page.

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