I switched my main coding agent to Codex. Not because Claude Code is bad. I still pay Anthropic every month and I still open Claude Code daily. But when I compared Codex vs Claude Code on my own projects, on my own numbers, the choice for the main loop stopped being close. Here is the honest breakdown.
Codex vs Claude Code: the $200 subscription math
Both tools have a $200 per month tier. What you get for it is very different.
From my usage, the Codex subscription gives me roughly $14,000 of API-equivalent inference per month. Claude Code on the same money gets me somewhere between $6,000 and $8,000. Those are my numbers, from my dashboards, on my workloads. I have seen public analyses that land elsewhere, some even the other way around, so do not take my figures as gospel. Run your own for two weeks.
For me, that gap is the whole game. My agents run long sessions across several projects a day, and since the switch I have stopped thinking about rationing. That alone changed how I work.
What are banked resets and why do I love them?
This is the feature nobody talks about enough. Every month Codex gives you a banked reset. Cash one in and your five-hour limit and your weekly limit clear on the spot. Each one stays valid for 30 days.
They also stack on their own. Last month I accumulated four banked resets without doing anything. That changes how a heavy week feels. Hit a limit mid-sprint? Cash a reset and keep going. With Claude Code, hitting a limit means waiting or paying again.
The desktop app, computer use, and browser skills
Codex now ships a proper desktop application (macOS since February 2026, Windows since March), and it is genuinely great. Less terminal juggling, a better session overview, and running several agents side by side finally feels natural.
On top of that, Codex has the best computer use and browser skill execution I have tested. When an agent needs to click through an actual UI to verify its own work, Codex gets it done more reliably than anything else I have run.
The new GPT-5.6 models, Sol and Terra, are the other half of the story. On the DeepSWE benchmark, Sol scores 72.7% against Fable 5’s 69.7%. To be fair, Fable still leads SWE-Bench Pro by a wide margin. I do not weight that one much though: OpenAI’s own audit found roughly 30% of its tasks are broken, and they retracted their recommendation of it. Benchmarks are noisy either way. My day-to-day experience is what convinced me: on implementation tasks, these models deliver.
Where Claude Code still wins
Now the other side, because this is not a takedown.
Claude still has the best design taste. When I need frontend work that looks right the first time, Claude Code gets it closer than Codex does.
And for planning, Fable’s max reasoning is the best thinking I can buy. My actual workflow: I use Claude Code with max reasoning to write PRDs and high-level documentation, then feed those documents to Codex for implementation. Codex working from a Claude-written plan delivers noticeably better code than either tool doing everything alone.
The reliability problem: doing only what I asked
Here is my biggest practical gripe with Claude Code. You give it a prompt, it does the thing, and then it also does two other things you never asked for. Sometimes those extras are harmless. Sometimes they touch code that was fine and now is not, and you find out later.
Codex stays inside the brief. For me that is the difference between an agent I supervise and an agent I rely on. On client projects, predictability beats brilliance.
Pricing and the paywall question
The API pricing also favors OpenAI at the top end. GPT-5.6 Sol costs $5 per million input tokens and $30 per million output. Fable 5 costs $10 and $50. Half the input price against Anthropic’s flagship is hard to argue with. (Opus 4.8 is closer, so the gap is really about the flagships.)
Beyond raw numbers, OpenAI currently feels more customer-friendly to me: fewer capabilities locked behind higher tiers, fewer moments where a feature I expected turns out to be paywalled. I want to be fair here: Anthropic gives me the strongest reasoning model I have used, and I keep paying for exactly that reason. But for volume work, the value calculation is not close.
So what should you actually do?
If you run one agent and want the most capable planner, Claude Code is still a great answer. If you run agents all day on real projects and care about cost per delivered feature, try Codex as your main loop for two weeks and watch your own numbers.
Or do what I do and stop treating it as a versus question. Claude Code writes the plan, Codex ships the code, and my projects have never moved faster.
