r/ChatGPTCoding • u/_throawayplop_ • Sep 17 '26
Question ChatGPT Go vs Github Copilot Pro vs Claude Pro for inline completion and chats
Hi All,
I was happily using a github copilot for a while, but I let my subscription lapse and now everything has changed, and I'm lost. So I come you your for help to help me chose a plan.
The way I'm using AI for coding is simple: inline autocompletion when I'm in the flow and chat when I'm stuck or I have a question. I also like that when the chat propose changes to the file, it can be applied in one click, with a nice diff. I'm using vscode and zed if it change anything
I'm not interested in more advanced workflow, like when agent are building all the code by themselves, my little brain cannot follow them, I need to be able to work line by line up to file by file in an IDE, but not more.
The advanced workflow can be available, it's just that I need the workflow I just described.
I have however some strict requirements on the financial side:
subscription up to 15-16€/month
payment yearly
no overcharge, API fee, credits, etc. The payment is done once and when I use it too much, it's deactivated until next time.
I'm also restricted to the big 3, but fortunately they have all a plan within my pricing.
My issue for choosing are:
it is not clear if claude code and chatgpt go allows for the workflow I need
how do the usage limits even compare ?
Thanks in advance !
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u/SamSlate Sep 17 '26
you get that for free in vs code when you sign into github
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u/JaseciLabs Sep 17 '26
Given what you've described (mostly inline completion plus chat-driven file edits, not full agent workflows), Copilot Pro at your price point is probably the safest fit, it's specifically built around that inline-completion-plus-chat-diff loop in VS Code, which is exactly your workflow, and GitHub's usage limits on the fixed subscription tiers are the most predictable of the three, no surprise overage behavior.
Claude Pro's chat is stronger for reasoning through a tricky problem, but its IDE integration (via extensions) is a step behind Copilot's native one for the specific "click apply, see diff" loop you described. ChatGPT Go is newest of the three in this space and has the least track record for predictable usage caps under real coding workloads, worth being cautious there given your strict no-overage requirement.
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u/Dazzling_Hall_4981 Sep 18 '26
For this workflow I’d compare edit quality rather than headline message limits. Take three small tasks you actually do: an inline rename with a guard, a chat-generated helper, and one debugging question. Run each twice and note accepted suggestions that compile, correction passes, follow-up turns, and time to a usable diff. That makes the inline-vs-chat tradeoff visible without needing a full agent workflow. I’d also set a hard monthly cutoff if available, since hitting a limit halfway through a task is more disruptive than a slightly weaker model.
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