OpenAI Codex vs Antigravity: what 9 developers chose.
2,314 opinions. 9 developers named a direct preference: OpenAI Codex 7–2. Approval is 69% vs 45%.
If you want code quality, choose OpenAI Codex. If you want speed, choose Antigravity. The 7–2 direct split is not a landslide; it is a difference in working style.
Choose OpenAI Codex if you…
- Want the stronger overall approval rating
- Value code quality, autonomy, or cost
- Need better reliability and looser usage limits
Choose Antigravity if you…
- Need faster responses
- Want a Google-backed IDE
- Can tolerate weaker reliability and tighter quotas
Code quality for OpenAI Codex. Speed for Antigravity.
Net sentiment per topic: praise minus complaints, as a share of mentions. Positive means more praise than complaints. Hover a dot for the raw counts.
Net sentiment = praise minus complaints, as a share of each tool's mentions. The dot lanes are only for readability; position is the score.
View data table
| Topic | OpenAI Codex | Antigravity | Mentions |
|---|---|---|---|
| Code quality | +49 | +30 | 459 / 23 |
| Speed | +49 | +46 | 129 / 26 |
| Reliability | -6 | -56 | 239 / 73 |
| Cost & pricing | +53 | -8 | 228 / 37 |
| UX | +21 | -45 | 217 / 40 |
| Usage limits | +36 | -27 | 192 / 49 |
| Autonomy | +57 | -10 | 215 / 20 |
| Customization | +29 | -50 | 51 / 8 |
The same decision, from both sides.
Paraphrased from comments where a developer named a preference or described a switch. Each links to the original.
Picked OpenAI Codex 7 developers
A user said Codex had the better harness, while Antigravity was sloppy and needed forced self-review to catch errors.
A user said Antigravity CLI beat Gemini CLI but still trailed Codex and Claude Code.
A user reported broken code insertion, lost chat history, and wasteful searches in Antigravity.
A user said Google split Antigravity across too many plans and limits, while Codex offered more usable capacity.
Picked Antigravity 2 developers
Not really? I have some custom skills/MCP servers I use: one MCP server for using https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cl... ran locally so that reading web pages is cheaper and uses up less context One MCP server for doing automated code quality checking, using Valknut, Jscpd, and Lizard to output scores, combine/aggregate them. That's then give to the model so that it can see if there's a mess of code dupe or if there was significant architectural regression. It's allowed to say "This is worth it" but it ground it a bit and stops really stupid, short sighted, hacked-in f
A user found Gemini 3.6 Flash in Antigravity CLI about 10 to 50 times faster than GPT 5.6 Luna in Codex.
The numbers.
| Metric | OpenAI Codex | Antigravity |
|---|---|---|
| Approval | 69% | 45% |
| Last 90 days | 63% | 42% |
| Opinions | 2,013 | 301 |
| Developers | 1,386 | 259 |
| First-hand opinions | 1,708 | 238 |
| Direct picks | 7 | 2 |
| Type | Terminal agent | AI IDE |
| Made by | OpenAI | |
| Website | Visit ↗ | Visit ↗ |
Related matchups.
Claude Code vs OpenAI Codex
181–62 direct picks, and a clear difference in what developers optimise for.
OpenAI Codex vs Cursor
21–7 direct picks, and a clear difference in what developers optimise for.
OpenAI Codex vs OpenCode
14–7 direct picks, and a clear difference in what developers optimise for.
How to read this comparison.
Approval is the positive share of opinions that took a side, with the rank based on the lower bound of a 90% confidence interval. Direct picks count comments where a developer explicitly preferred one tool or described switching. Small samples are noisier; check the opinion counts.
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