Claude Code leads SWE-bench at 72.5%. Codex leads Terminal-Bench at 77.3%. Both claim to be the best AI coding agent.
I tested both on a real project. Here's what I found.
The Short Version
Claude Code wins for architecture, complex features, and frontend work. Codex wins for autonomous tasks, DevOps, and cost-sensitive projects. Codex costs roughly half of Sonnet for equivalent work.
Context Window Changes Everything
Claude Code offers 200K context (1M in beta on Opus 4.6). That's massive. You can load entire codebases and it understands the relationships between files.
Cursor gives you 70K-120K usable context after truncation. For large projects, that's the difference between "understands the whole picture" and "keeps forgetting what file does what."
The Cost Question
Claude Code uses 5.5x fewer tokens than Cursor for identical tasks. If you're paying per token, that adds up fast.
But Codex costs roughly half of Sonnet. For teams running hundreds of requests per day, that savings compounds.
Who Should Use What
If you're building a complex web app with lots of interconnected components: Claude Code.
If you're running automated pipelines, CI/CD tasks, or cost-sensitive batch work: Codex.
If you want one tool that does everything: that doesn't exist yet.
Read the full comparison with benchmark data, pricing tables, and real test results at automatyn.co
If you need help setting up AI agents for your business, Automatyn does the full setup. One-time fee. You own the whole thing.
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