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Update: more runs per setting (2026-10-23 top-up)
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---
license: cc-by-4.0
pretty_name: Antigravity CLI vs Claude Code vs Codex tokens
language:
- en
tags:
- antigravity
- claude-code
- codex
- gemini
- mcp
- llm
- tokens
size_categories:
- n<1K
configs:
- config_name: default
data_files: antigravity-cli-vs-claude-code-vs-codex.csv
---
# Antigravity CLI vs Claude Code vs Codex: startup tokens, MCP tools and the same coding task
DOI: https://doi.org/10.5281/zenodo.23569397
Measured 2026-10-18 to 2026-10-23 on Windows 11 with Claude Code 2.1.295 (Opus 5.5), Codex CLI 0.162.0-alpha.17.2 (gpt-6-luna) and Google's Antigravity CLI 1.4.5 (`agy`) with Gemini 4 Argon and with Claude Opus 5.5. 52 runs (v2: five game runs per tool). License: CC BY 4.0.
Page with tables, chart and method: https://tokensave.app/data/antigravity-cli-vs-claude-code-vs-codex
## Key numbers
- Startup ("Reply with the single word OK.", no MCP): Claude Code 35,781 input tokens, Codex 14,818, Antigravity + Gemini 4 Argon 6,745, Antigravity + Opus 5.5 5,326 (+5,167 cache reads reported separately).
- Same brick-breaker game task, average of 5 runs: Claude Code + Opus 5.5 87,779 input / 7,669 output / 62 s; Codex 52,762 / 4,073 / 56 s; Antigravity + Gemini 12,899 (+6,797 cache) / 6,222 / 77 s; Antigravity + Opus 5.5 9,935 (+15,412 cache) / 4,463 / 43 s. Claude Code and Codex runs 4-5 are the 2026-10-18 runs of the Claude Code vs Codex dataset (same versions); one Claude Code run took an extra step (123,666 input).
- Same model, Opus 5.5: 71% to 89% fewer input tokens in Antigravity than in Claude Code (high end counts only reported input, low end adds the separately reported cache reads).
- 30 dummy MCP tools added +388 tokens (Claude Code), +0 (Codex), +582 (Antigravity + Gemini), +417 (Antigravity + Opus).
- All 20 games worked in a headless-browser check (score, level 2, lives 3-2-1-0). The automatic check could not read the score in two Codex games; manual checks confirmed scoring (see `check_note`).
## How to read Antigravity's numbers
`agy --output-format json` reports input_tokens, output_tokens, thinking_tokens, cache_read_tokens and total_tokens (= input + output). Whether cache reads are part of input is undocumented; in the Opus runs cache reads exceed input, so they are not contained there. Treat input + cache_read as an upper bound.
## Files
- `antigravity-cli-vs-claude-code-vs-codex.csv`: one row per run (tool, test, MCP tools, run, reported input, cache reads, output, seconds, API cost for Claude Code, file lines, game checks).
- `antigravity-cli-vs-claude-code-vs-codex.json`: the same with setup and notes.
- `antigravity-cli-vs-claude-code-vs-codex-chart.png`
- `runs/`: raw JSON output of every run and every generated game (`index.html`); the Windows user name is masked as USER.
- `scripts/`: `run_three.ps1` (runner), `mcp_dummy.js` (MCP test server), `check_brick_deep.py` (game checker), `l2.js` / `lives_test.js` (manual lives checks).
- `check_brick_deep.json`: checker output.
Earlier Claude Code vs Codex dataset: https://tokensave.app/data/claude-code-vs-codex-tokens
Cite: TokenSave (2026). Antigravity CLI vs Claude Code vs Codex: startup tokens, MCP tools and the same coding task [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23569397