Antigravity CLI and Claude Code are both terminal-native coding agents, but they were built around different bets. Google’s Antigravity wants to orchestrate several agents and several models at once. Anthropic’s Claude Code wants one agent to do a single job extremely well. Here is how that plays out across the things that matter once you are past the first afternoon.
Antigravity CLI vs Claude Code: Code Quality and Benchmark Scores
On Terminal-Bench 2.1, Antigravity with its default Gemini 3.5 Flash posts 76.2%, a clear step up from the Gemini CLI it replaced. Claude Code on Opus 4.8 reaches 78.9% on the same test. Push to SWE-bench Verified and Claude Code stretches further, hitting 88.6% on Opus 4.8 while Antigravity’s strongest model trails by a clear margin.
Scores only tell part of it. Claude Code produces cleaner first-pass diffs that need fewer correction rounds. Antigravity generates faster but more variable output, especially on the default Flash model. That speed is real, startup is near instant and the interface stays responsive mid-task, but it does not close the quality gap.
On raw code quality, Claude Code takes this one.
Antigravity CLI vs Claude Code: Execution Model and Workflow
Antigravity CLI is built to fan work out, while Claude Code stays locked on a single job. Its async subagents spawn in the background, each in an isolated context window, and report diffs back when they finish. Splitting a refactor across three or four agents and watching their changes land one by one is a real shift in workflow, not a demo trick.
Antigravity gates full autonomy behind a /goal prefix. Add it and the agent runs a task to completion without pausing. Leave it off and it stops to ask before each significant step. Claude Code runs its loop to completion by default once you approve the plan.
Antigravity comfortably runs only three to five parallel subagents before quota bites, so the parallelism has a ceiling. For truly parallel work, Antigravity wins this dimension outright. For everything else, Claude Code’s focused loop is the more reliable engine.
Antigravity CLI vs Claude Code: Configuration and Project Conventions
The first thing migrators trip over is configuration. Both tools read a project file at session start and prepend it to every prompt. Antigravity uses AGENTS.md, Claude Code uses CLAUDE.md, and both reward the same discipline. Keep the file lean. CLAUDE.md works well for the first forty or fifty lines, then instructions start slipping as context fills, so most teams hold it under two hundred lines.
Here is the shape of each.
# CLAUDE.md (Claude Code)
- Run tests with `npm test` before finishing
- Prefer named exports over default exports
- Never edit files under /vendor
# AGENTS.md (Antigravity CLI)
- Build with `go build ./...`
- Keep HTTP handlers in internal/api
- Ask before touching database migrations
# MCP config gotcha (Antigravity)
{
"mcpServers": {
"github": { "serverUrl": "http://localhost:8080" }
}
}
# The old Gemini CLI "url" key fails silently. Rename it to "serverUrl".
Antigravity adds Agent Skills as markdown files that become slash commands. Claude Code does the same through SKILL.md files, plus a hooks system that enforces rules with shell scripts rather than trusting the model to comply. One Antigravity migration trap is worth flagging. The MCP server config fails silently if the old url key is not renamed to serverUrl, with no error to point at it.
Claude Code’s hooks and rules layering give it the edge on governance, so it wins configuration for teams that need conventions enforced, not just suggested.
Antigravity CLI vs Claude Code: Pricing and Quota Models
Picture a developer running either tool hard from morning standup to mid-afternoon. With Antigravity, every request from the CLI, the desktop app, and the SDK draws from one shared quota pool. Heavy parallel use empties that bucket faster than the old Gemini CLI did at the same tier. The agent cannot see its own remaining quota, so you are the governor.
Claude Code shares a bucket too, but across Code, chat, and Cowork rather than across surfaces of one product. Its limits run on a rolling session window plus a weekly cap, and the burn speeds up during weekday morning peak hours. Three separate commands report usage, /context for token load, /stats for subscription usage, and /cost for API billing, which catches new users who run /cost on a subscription plan and see nothing.
Neither model is fully predictable, but Claude Code’s separate, documented limits are easier to plan around than Antigravity’s single opaque pool. For most developers, Claude Code wins on quota predictability.
Antigravity CLI vs Claude Code: Ecosystem and Open Source
The sharpest divide is licensing. Antigravity CLI is closed source. Its predecessor, Gemini CLI, was Apache 2.0 with a six-figure GitHub following and thousands of merged community pull requests, and that ecosystem does not carry over. The new plugin system imports old Gemini CLI extensions, but the deep community integrations built on open source are gone.
Claude Code is source-available and sits on one of the largest developer followings on GitHub. Its MCP support, SKILL.md skills, and plugin bundles are backed by community projects that ship dozens of subagents and skills in a single install. Antigravity’s multi-model billing is the real counterweight here. One subscription exposes Gemini, Claude, and GPT-OSS through a /model switcher, with no second API key or invoice.
Claude Code wins ecosystem maturity today. Whether Google’s platform pulls developers back is the open question for the rest of 2026.
Antigravity CLI vs Claude Code: Failure Modes and Reliability
You will hit walls with both, just different ones. Antigravity’s early builds overwrote human-written code until a patch landed, and on launch day a first run could wipe existing user configurations. Both were fixed, but they set a rough tone for a forced migration.
Claude Code’s failures are quieter. A 2.1.100-era regression silently inflated token consumption until users pinned back to 2.1.34, and the shared usage bucket means a heavy morning can throttle you before you notice. Neither problem destroys work, but both make billing harder to forecast.
On reliability, Claude Code is the safer bet, mostly because its failures cost tokens rather than your code.