TODO for AI
vs Claude Code
Anthropic's terminal coding agent, tied to Claude models and Claude subscription tiers. Here is where each one wins, with numbers, and who should pick which.
Anthropic only
Every providerWho should pick which
- You only ever want Anthropic models
- Your work is 100% inside a repo and a terminal
- You already pay for Claude Max and want no second tool
- You want GPT, Claude and Gemini side by side and let them review each other
- You need work that outlives a terminal session: cron, scheduled runs, an always-on VM
- You want the same agent to handle marketing, SEO, email and ops, not only code
What Claude Code is, and where it stops
Claude Code is the tool most developers mean when they say "coding agent" in 2026. It runs in the terminal, reads the repo, edits files, runs tests and opens pull requests, and on Opus it produces some of the cleanest code of any agent. Anthropic ships hooks, subagents and a Chrome extension, and the whole thing is tuned for one workflow: a developer at a keyboard, inside one repository.
That focus is also its ceiling. It only speaks to Anthropic models, it has no home of its own beyond the machine you launch it on, and everything outside the repo is out of scope. If your day is more than code, or you want a second model to check the first one, you end up stitching tools together yourself.
Developers who live in the terminal and are all-in on Anthropic models.
Three reasons Claude Code users look elsewhere
Every plan, every review, every fix comes from the same model family. There is no way to have GPT read what Claude wrote before it lands.
Long jobs, scheduled runs and anything that needs your logins to stay alive require you to run and babysit your own box.
The moment the task is "write the launch email", "fix the SEO on the pricing page" or "reply to that lead", Claude Code has no tools for it.
Six dimensions that decide it
Same 89-task set, one trial each. Our number is measured on our own harness; theirs is their public leaderboard entry. Different model too, so treat it as indicative, not a controlled A/B.
What each one ships
Same ladder, different meter
Rolling 5-hour windows plus a weekly cap. Paid plans can continue at API rates once the window is spent.
One pool priced in dollars of model cost, spendable on any vendor. Session and weekly windows pace it, and a 1.3-1.5x plan multiplier applies, so a $20 plan is about $15 of list-price API. Team seat prices go into one shared pool.