The AI coding tool market has gotten genuinely competitive in 2026. Anthropic has Claude Code. OpenAI has Codex. And now Google has Antigravity 2.0 — a tool that came out of I/O 2026 with a lot of attention and some real substance behind it.
If you’re trying to figure out which one to actually use, the marketing language won’t help you much. Every company says their tool is fastest, smartest, and best. So let’s cut through that.
Here’s a comparison based on what each tool actually does well — and where it runs into trouble.
The Short Version (for people in a hurry)
| Antigravity 2.0 | Claude Code | Codex | |
|---|---|---|---|
| Interface | Desktop + CLI + SDK | CLI only | CLI only |
| Best for | Speed, multi-agent tasks, beginners | Complex code quality, terminal users | OpenAI ecosystem users |
| Parallel agents | Yes | No | Partial |
| Free tier | Yes (limited) | No | Limited |
| Starting price | $20/month | $20/month | $20/month |
| Speed | ~289 tok/s | ~80 tok/s | ~120 tok/s |
| SWE-Bench quality | Good | Best | Good |
Now let’s go deeper.
What each tool actually is
Claude Code is a terminal-based AI coding agent from Anthropic. You run it from your command line, point it at a codebase, and describe what you want done. It reads your files, writes changes, runs tests, commits to git. No graphical interface — it’s built for developers who live in the terminal and want deep, precise control over what the AI is doing.
Codex is OpenAI’s coding agent. It’s also CLI-first and integrates tightly with OpenAI’s ecosystem. It’s fast, reliable, and widely supported by third-party developer tools. If you’re already using the OpenAI API or building on GPT-5.5, Codex fits naturally into that workflow.
Antigravity 2.0 is Google’s take on the category, but it plays the game differently. It has a desktop app (a VS Code fork rebuilt around agents), a CLI, and an SDK. It’s the only one of the three that runs multiple agents simultaneously on the same task — one writes code, another tests it, another verifies in the browser — all at once rather than one step at a time.
Where Antigravity 2.0 wins
Speed. Gemini 3.5 Flash outputs at around 289 tokens per second. Claude Opus 4.7 runs at roughly 80 tokens per second. For agentic work — where the model needs to do a lot of reasoning and back-and-forth to complete a task — this gap adds up fast.
Multi-agent parallel execution. The other tools execute tasks sequentially. You ask Claude Code to do something, it works through it step by step. Antigravity assigns subtasks to multiple agents that run at the same time. For a complex task like “build a complete website,” this makes a real difference — the frontend work and the backend setup can happen simultaneously rather than one after the other.
Accessibility. The desktop app has a clean, minimal interface — file browser on the left, conversation on the right. There’s no learning curve for the basics. You type what you want, it builds it. This makes Antigravity the most realistic option for someone who doesn’t code professionally.
Scheduled background tasks. You can set an agent running on a schedule — nightly code health checks, automated content updates, weekly report generation. Neither Claude Code nor Codex offers this natively at the same level.
Breadth. Antigravity gives you a desktop app, CLI, and SDK in one platform. Claude Code and Codex are CLI-only (Claude Code has no official desktop GUI). If you want to switch between a visual workflow and a terminal workflow, Antigravity is the only option.
Where Claude Code wins
Raw code quality on hard problems. SWE-Bench is an industry benchmark for AI coding agents — it measures how well models solve real-world software engineering problems. Claude Code with Opus 4.7 currently leads the pack. When the task is genuinely complex — debugging a subtle race condition, refactoring a large legacy codebase, building something that requires deep contextual reasoning — Claude Code produces better output than Antigravity.
Context window. Claude Opus 4.7 has a 1 million token context window. That means it can read and reason over enormous codebases in a single pass — useful if you’re working on a large project with many interconnected files.
Developer trust. Claude Code has been out longer and has a bigger developer user base. There are more community guides, more Stack Overflow answers, more documented patterns for getting the most out of it. The Antigravity SDK ecosystem is newer and thinner.
Terminal-first workflow. If you already work in a terminal, Claude Code fits your existing setup without asking you to learn anything new. It works with your editor, your git workflow, your existing scripts.
Where Codex wins
OpenAI ecosystem integration. If you’re building on OpenAI’s APIs — using GPT-5.5 for your product, already using the OpenAI platform, familiar with their tooling — Codex slots in without friction. It’s fast (faster than Claude Code, though slower than Antigravity), well-documented, and broadly compatible with third-party tools.
Stability. Codex is a more mature product with a longer track record. For professional development teams that need predictability, the established track record matters.
Where each tool struggles
Antigravity 2.0 has some real gaps at the moment. The lack of robust undo/rollback is a genuine problem — if the agent makes changes you don’t like, rolling them back isn’t always smooth. The usage quota tracking is also opaque — it’s not always clear how much compute a task will consume before you start it. The SDK community is small. And the multi-agent architecture, while fast, doesn’t always produce code at the same quality level as Claude Code on deeply complex tasks.
Claude Code has no desktop app, which is a real barrier for non-developers. It’s also slower — 80 tokens per second feels noticeably sluggish compared to Antigravity when you’re waiting for a long task to complete. The free tier is essentially non-existent; meaningful use requires a paid subscription from day one.
Codex is the safest choice and maybe the least exciting one. It doesn’t lead in any single category — not the fastest, not the highest quality, not the most accessible. The OpenAI ecosystem lock-in can also be a disadvantage if you want flexibility later.
Which one should you actually use?
You’re a beginner or non-technical user: Antigravity 2.0. The desktop app is approachable, the free tier lets you test it properly, and the multi-agent system handles complex tasks without you needing to manage the details. Start here.
You’re a professional developer who cares about code quality: Claude Code. Especially if you’re working on complex, large-scale projects where subtle errors matter. The SWE-Bench lead is real, and the 1M context window makes a difference on big codebases.
You’re already in the OpenAI ecosystem: Codex. No reason to switch if everything already works together.
You want to automate recurring tasks: Antigravity 2.0. The scheduled agent feature is genuinely ahead of what the others offer right now.
You want to prototype something quickly: Antigravity 2.0. The parallel agents and raw speed make it the fastest tool for getting from “I have an idea” to “I have something to look at.”
The honest take
Antigravity 2.0 is the most ambitious of the three. Google is betting that speed and multi-agent architecture matter more than raw code quality — and for a lot of use cases, that bet makes sense.
Claude Code is the most precise. It’s the tool you want when “good enough” isn’t good enough and you need the AI to actually think through a hard problem.
Codex is the safest. It’s not going to surprise you in either direction.
None of them are perfect. All three are useful. The best move is probably to use Antigravity’s free tier to run a few real tasks, see if it handles your specific workflow, and then decide whether it’s worth committing to or whether Claude Code’s higher quality ceiling is worth the tradeoff.
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