r/GithubCopilot

Like Asia, South America, and Africa should have lower agent mode point costs or regional pricing. AI tools are global, but affordability isn’t, and cheaper regional pricing could help more students, developers, and startups access them.

Heck, I was spending +$100/month on Copilot anyway... hopefully I won't have to sign up for GPT as well.

GitHub copilot was reasonably simple to get, built into VS code, had a plugin for CLion and pretty attractive pricing.

If they hadn’t suddenly increased prices by more than 10x I’d probably have stayed with them "forever" out of convenience.

But even if my employer might pay substantial money for tokens it isn’t really doable for me to tell my family that the summer holiday is off the table because Microsoft wants $8000 a year to assist me in my open source projects.

So what are the decent options going forwards? I’ve tried Qwen 3.6 and Gemma 4 locally on an RTX 5090 in LM studio with Cline in VS code I wasn’t hugely impressed. I’ve also heard using APIs pay-as-you-go gives your money wings.

Claude pro or Claude Max 5x?

Hello everyone,

recently i cancelled my GHCP Pro subscription following the cost changes coming June 1st. But i was wondering if i could just subscribe, let's say, to the DeepSeek API (or any other pay-as-you-go model) and keep using the extension with BYOK configured, or if even using only the "harness" of the IDE extension require an active paying subscription.

For context, i do a lot of .NET backend development (recently mainly with .NET Aspire) and the Visual Studio 2026 integration with MCP and debugger context is not really anything i've found elsewhere.

Thanks a lot in advance

My payment for the month is due tomorrow and I'm afraid they will charge me the new tariff instead of the 40 USD.

I really miss Claude Opus 4.6 without restriction, it was an incredible coding agents. I am trying Claude Code but even with their 4.7 they are trying to restrict your requests.

The good old days are over

now gh copilot with session limit , weekly limit , 5hr limit , daily limit , smallest context windows , new monthly limits and model prices

they are not supporting agenting workflow , gh copilot now is more of a codding assistant than an agent who can delegate and finish things on your behalf just make it clear your infra can't do this so we stop expecting anything

today i was just having some regular tasks i do them with codex free limit some ui tiny changes like some margins , some color changes around 11 tasks then needs olne line replacement no logic needed so i gave it haiku 4.5 and i gone to get coffee and came back with a session limit just start of the day

I’ve had a GitHub Copilot Pro annual subscription since December, but so far I’ve mostly used it for basic autocomplete and chat inside PhpStorm and PyCharm.

Recently I started experimenting more with Copilot CLI for larger and multi-file tasks, but the results have been mixed. Sometimes it works surprisingly well, and other times it ignores instructions, changes unrelated code, or loses context.

I’m trying to understand how experienced users are getting consistently good results.

Some questions I’d really like feedback on:

• How did you learn to prompt effectively?
• What kinds of instructions produce the best results?
• How do you structure requests for multi-file changes?
• How do you keep Copilot focused and following instructions?
• Do you use project instruction files, conventions, or templates?
• What workflows made the biggest difference for you?

I’ve mostly used GPT-5 Mini and GPT-5.4 so far. Some of the other models have much higher usage multipliers, so I haven’t experimented much with them yet.

For people using the more expensive models:

• What tasks make them worth the higher multiplier cost?
• What do they do noticeably better?
• Are there specific prompting styles or workflows that help justify using them?

For context, most of my work is PHP, WordPress, Linux/server scripting, and general IT automation.

I’ve been using GitHub Copilot and I’m honestly impressed by its capabilities, especially for debugging and automating tasks.

For example, I was working on an app bug where I used 5.4 mini xhigh and it was still able to:

Open a browser and run Playwright scripts

Handle Excel file checks (like verifying downloads)

Debug frontend layout issues

Even take screenshots and suggest Flexbox fixes based on UI behavior

That got me curious, so I tried replicating similar workflows using some free/open-source models and tools. Using openrouter with GHCP with the free deepseek V4 flash model it wasn't able to do it

Now I’m wondering:

How good are the open-source Chinese models compared to tools like Copilot or GPT-based models?

People often say they’re strong in coding and agent-like workflows—how true is that in real-world use?

And can open code with the go subscription. Actually able to do something like this?

https://preview.redd.it/xtcpa0ac432h1.png?width=1392&format=png&auto=webp&s=5ee1d875d3be0f429af397b970a1530620e97e40

Total 3 requests
2 with High
1 with Medium
Took 65% of the Codex Free weekly limit.

Is this normal?
How much average rate limit will I get with Codex Plus?
How many requests can I make with Codex Plus?

Hi. This is mostly meant for GitHub staff here. Thanks in advance if they can provide clarification.

I'm looking at multipliers table of June 1st changes, and their "relative" values doesn't make sense. There are multiple cases where the only logical choice is to use the more expensive model, making me think this is not even intended by GitHub themselves.

For example. GPT 5.4 Mini costs far less than 5.4 in both input and output tokens (a bit less than four times), but will have the same 6x coefficient starting June 1st. And there is also GPT 5.4 Nano which is far cheaper than Mini, but is not mentioned in coefficients table at all. There are multiple other examples too.

Can someone clarify whether I am missing something or neglecting a parameter here?

Thanks

I’ve been working on my project and using Anthropic’s Claude Opus 4.6 through the API for the coding side of development.

I was also using the Claude app with the Max 5x plan for planning, architecture discussions, reviews, and other non-coding tasks.

Recently, I’ve seen many people moving back to GPT as GPT-5.5 is reportedly close to Opus 4.6 in overall capability.

So I’d like some suggestions on which would be better to use Claude Opus 4.6 or ChatGPT 5.5 specifically for use cases like: (acting as the “brain” behind development , project planning , architecture discussions , product thinking. and other high-level tasks apart from actual coding)