Let's fly with Copilot
Was building a website and tried out the free tier of Copilot and it was really helpful. I like the fact that you have access to different models instead of just one. I'm just getting used to using AI in projects now as a software developer now. As I didn't really use it much when these different models were first released. Right now I'm focused on game dev, so I'm not sure what's currently the best option for projects related to that. I've heard about Claude Code, I'm just not sure if they're the best pricing model. I'm mainly looking for something that works the best with Visual Studio IDE and VS Code. That's what I mainly use with game engines. And now with the price hikes with Copilot and also the fact that I can't even sign up because they put a freeze. Not sure what a good alternative is or if Copilot is still worth it ?
Then comment and upvote this to be the #1 post on here. We must make this painfully obvious. (this is not about self-promotion, feel free to also make new "cancel copilot" posts of your own!)
I canceled my Copilot Pro plan yesterday after running 2 requests for 15% of my credits.
Last month I used ~60% of my quota in an entire month.
This month I've already used 25% on day one.
What an amazing improvement.
I started coding without GHCopilot today (@workplace) after a long time. It was a bit hard to get into AI codes as it has generated a lot of code now I have to go through all of them. But after mapping the whole codebase in my memory I was able to start developing and fixing the code. And I have this happy feeling (dopamine) again when my code is working as intended. Good to be back :)
I am insanely terrified about my company not extending Copilot credits after 100% exhaustion. I cannot even put myself to go back try to code myself. I am panicking.
This is totally unacceptable, at this rate it doesn't worth for what you get. Any recommendations for an alternative?
We are on GitHub Copilot Business with almost 500 developers. Since the billing model changed, usage is obviously much more relevant for us.
As an admin, I can see the usage data in the dashboard. So the data exists.
But individual users cannot see how much they have used.
That is honestly the worst part. Users need visibility into their own usage so they can build a feeling for how much they are consuming, adjust behavior, and avoid surprises. This should not require an admin to export reports or build an internal workaround.
I understand billing changes are complex, especially at this scale. But for Business and Enterprise customers, this feels unprofessional and disappointing.
GitHub, please expose personal usage directly to users. This should be basic functionality.
Hi, I can see a lot of comments on this subreddit regarding the usage-based billing here. I am quite confused because the product itself is still as good if not better than before. Look, we’re the 2nd day of the man month, I’ve been using it today and when I check my remain…
GitHub Copilot Quota Reached
You've reached your monthly chat messages and inline suggestions quota. The allowance will reset on July 1, 2026 at 2:00 AM.
A matter of time before we see these type of posts here too.
I have been using DeepSeek since May 22, alongside Claude and GPT (Codex). I eventually cancelled my GHCP subscription.
Since June 1st, I have moved 100% of my workflow to DeepSeek. For comparison, during my last 4–5 days on GHCP (using Claude and GPT), I exceeded 1,500 requests, which resulted in additional usage charges.
From June 1st to June 3rd, I have continued using DeepSeek exclusively, and today 3rd June the usage is still ongoing.
GHCP, this cannot be direct comparison but based on my own usage :
DeepSeek proven to be very very reliable as compare to my experience with Claude and Codex, it can handle large and very complex tasks and do provide amazing feed back, including accepting "being Moron" against CODX/Claude never accept the mistake.
thanks
I do not care for Copilot. But, we use it at work so in a way I am stuck with it. I don't understand why the FUCK I can't see a breakdown of my usage.
I'm just supposed to take your word that my prompt to extract a helper from a function costed 63 fucking credits? Get the fuck out of here.
If there is a way to do this, it must be painfully hard to find.
As most of you here, got burned with the new rate limit system and prices.
So been using Visual Studio full IDE (2026 edition - note, not code), to speed up parts of my workflow. Now with the new system, ofc this is not usable anymore (unsubscribed ofc).
Wondering what you guys are using now as replacement.
Been trying with local hosted ollama (not best experience in analyzing my code or maybe need a better model - used gemma4:26b, qwen3-coder and mistral-small3.2), so considering buying codex or google ai, but been wanted to listen to some alternatives.
Mainly I've used GPT5-mini in the past if matters. Don't need higher models I think.
Well, it seems the day when an LLM becomes more expensive than a traditional developer is coming sooner than we expected.
Screenshot with preview – 12 days of use, ~900 premium requests
How to check: Github Account Settings -> Billing and Licensing -> Premium Request Analysis -> Preview your billing impact
Midnight switchover to AI Credits. If you've been living your best premium-request life, tonight's the night. No more unlimited PRU vibes — every model call has a price tag starting tomorrow. Use wisely, fellow prompt engineers.
Happy Tokenization Day 🎉
Upvote if you're not ready for token-based billing 🪙
I have blown nearly $100 today from normal daily workflows. This is an insane U-turn, this means a developer could use $100 - $200 per day insane.
In just 3 days the full quota is done
DeepSeek just made the 1/4 discounted price for v4 Pro permanent.
| Attribute | deepseek-v4-flash | deepseek-v4-pro |
|---|---|---|
| PRICING – 1M INPUT TOKENS (CACHE HIT)(2) | $0.0028 | $0.003625 (75% off(3)) / $0.0145 |
| PRICING – 1M INPUT TOKENS (CACHE MISS) | $0.14 | $0.435 (75% off(3)) / $1.74 |
| PRICING – 1M OUTPUT TOKENS | $0.28 | $0.87 (75% off(3)) / $3.48 |
It increases the gap with the frontier (Sonnet/GPT 5.4) models to a 12 to 17x difference. And we are not even talking about the cache hit, where the difference is easily 60 to 80x cheaper. And DS models are very good at hitting those caches.
That is how you draw in customers Microsoft!
And it was just 1 regular automatic PR code review, it used to do hundreds for me before for just a 0.9 Premium request... OMG!!!
I just started using GH Copilot with my Pro+ subscription after the June 1st changes and it already started leaking onto my additional usage. I've been mostly using Opus and tried to be much careful by using Sonnet and GPT-5.5 in Medium thinking effort.
I am thinking of switching to Cursor or Kimi Code, any recommendations?
Everyone is crying about the their new copilot AI credit bill, but the new pricing are exactly the same as claude or openAI token pricing. It makes me wonder, are we the poor kids that had been eating this free cake, while the claude or openAPI users happily pay their thousands of dollar monthly bills, or we had been abusing AI to center every single div or renaming files, while other AI users carefully crafting their workflow to minimize token usage?
With Microsoft's recent GitHub Copilot pricing and usage changes, is Claude Code now the most cost-effective option for heavy daily coding?
How do tools like Windsurf and Cursor compare in terms of value, model quality, limits, and overall developer experience?
For those who have switched recently, what are you using now and why?
I’m seeing folks defend the rate hike like we’ve all been getting a free ride until now. Yes, running agentic workflows is expensive, but the only reason GHCP was subsidized in the first place is because the value proposition wasn’t (and still isn't) strong enough to charge more.
And it was never a “free ride.” Microsoft has been using our interactions to train and refine the platform. That’s fine as that’s the deal, but let’s not pretend we weren’t contributing value. And even with all that data, the product still has a long way to go.
I was willing to tolerate agent screwups when they didn’t put a significant dent in my premium request budget. But now? Now every failure has a direct price tag. So here’s the question: when the agent screws up, are we getting credits? Refunds? What’s the actual metric for quality output to hold yourself accountable?
This whole situation feels like they planned to run the classic subsidized‑startup playbook until they realized it was just way too expansive. And now we’re watching Microsoft try to monetize an immature product in an immature industry.
Local agentic solutions cannot arrive fast enough.
This is the only meaningful thing we can do as consumer
Joined today just to watch the fallout, waiting for the first reports of orgs sleepwalking into token era bankruptcy with unlimited credit cards.
🍿
Microsoft is saying their in-house models are "10x cheaper" than GPT, and on-par with GPT 5.4. How long before we see this in Github Copilot, making prices more reasonable?
Use Claude (the expensive model) only for planning, then let cheaper models handle the execution. You'll get similar quality at a fraction of the credit cost.
Personally, I use Claude 4.8/GPT 5.5 for planning, and then hand it over to DeepSeek or GPT 5.3 Codex for implementation.
Corporate gh pro max plan with 10000 credits per month, and the management is already crying saying 100 usd/month is too much for a 10,000 people tech team.
In my opinion, I can make the 10000 credit last for 20 days with the lowest models like haiku etc with planning with higher models.
I generally don't use agent mode, I just generate the to-do list, and do the coding myself and used 70-80% of 39 usd request based plans previously.
The problem is my management is delulu, asking for agentic ai etc etc but now, 4-5 wrong prompts and wrong model, you are done for the month.
Even the Github pull request review is costing your tokens, so everyone needs to worry about their own token allocation and not go on fishing expeditions.
Additionally, management is still expecting 10x work because they are spending 100 usd a month on the licence, which in my opinion is possible only if you are a seasoned professional and use AI as only an assistant.
How has the new copilot billing received in the corporate world?
Thank you MS and GH for providing me 450$, 500$ and 1000$ = 2000$ worth of AI models for 59$ in the last 2.5 months (10+10+39).
That's 1.5 months of my salary in my country. And I'm well off compared to 90% of my countrymen.
Didn't know you gave me so much worthy stuff for meager 3% of its worth.
What I do with it is not making me even a $1. It was for trying to create something being a non coder. My first GH repo was created using GHCP. Now it's now grown, but all were ideas that I really wanted to try; not paying apps/subs that I manage and make 2000$ money of.
But it was worth learning the stuff and being on the edge. It genuinely felt like future had arrived.
Thank you. No hard feelings from my side.
Alright. that's great.
I wanted to say thank you for forcing me out of my comfort zone. I had become complacent in relying on Claude models for far too long and with your AI credits change it really motivated me to go and find less expensive competition which has been working just as well for me since I made the change.
I appreciate the push.
MAI-Code-1 Flash vs DeepSeek V4 Flash
Little table because MS can not be bothered to compare it with any competitor. No other numbers are provided by MS. I think that tells you plenty...
| Benchmark | MAI-Code-1 Flash | DeepSeek V4 Flash | GPT 5.4 Mini |
|---|---|---|---|
| SWE-Bench Pro | 51.2% | 55.6% | 54.4% |
| AIME 2026 | 92.5% | 96.7% | ? |
| IFBench | 75% | 73.5% | 73.3% |
Prices:
| Prices | MAI-Code-1 Flash | DeepSeek V4 Flash | DS4 Cheaper than MAI |
|---|---|---|---|
| Input | $0.75 | $0.14 | 5.36× cheaper |
| Cache | $0.075 | $0.0028 | 26.79× cheaper |
| Output | $4.50 | $0.28 | 16.07× cheaper |
I think the numbers speak for itself ... MS is trying to justify its worth GPT-5.4-mini prices.
Is it Windsurf? Cursor? Maybe Kilo or Opencode? What alternatives are you guys using in the 20-50 usd budget range to get the best value + code quality from LLMs?
Hear me out. Somewhere there's a pricing spreadsheet where some MBA penciled in my expected monthly usage, and every premium request I fire off is a tiny middle finger to that number.
Need a one-line regex? Ask Copilot. Could I write the loop myself in ten seconds? Absolutely. Am I going to? No. That's a request I'm owed and by God I'm collecting.
Refactor that's honestly fine as-is? Refactored. Commit message I could've typed? Generated. Variable name? Consulted. I'm not coding anymore, I'm running up the tab at the all-you-can-eat buffet and I am going back for the crab legs specifically because they cost them money.
The work's getting done, to be clear. I'm shipping more than ever. But there's a second, purer motivation underneath the productivity, and it is petty, and it sustains me.
Anyway. Anyone else, or is it just me down here.
I’m running locally with 131k context, 16k output on an RTX 5090 32GB via with turbo4 KV cache.
It’s connected directly to Copilot Chat through the extension, so everything stays inside VS Code and the workflow feels pretty seamless. For daily coding tasks, I honestly don’t feel much friction.
One important thing, in Copilot Chat settings, you should turn off “Delegate tasks to other agents”. Otherwise Copilot can sometimes spin up sub-agents and burn through extra credits.
Another useful setting is chat.tools.compressOutput.enabled in VS Code. It compresses command/tool output before sending it back into chat, so it can reduce token usage. From what I’ve seen, it’s currently disabled by default, so it’s worth turning on.
I also tried higher-bit quants like 6-bit and 8-bit, but then I had to reduce the input/output token limits. Lower-bit quants use less VRAM because the model is compressed more, but the tradeoff is lower weight precision, so reasoning/code quality can be a bit worse. After testing a few setups, 5-bit ended up being the best balance for me.
Of course, you can also rent GPUs somewhere and host the model there for a few dollars per hour, but it’s not always painless. The GPU you want might not be available, and sometimes you spend more time trying to get the server running than actually using the model.
For bigger planning or architecture, I still use Sonnet/Opus. With the right prompts, Opus gives me a solid ~300-line plan for around ~50 Copilot AI credits, and then local Qwen handles the actual implementation pretty well.
Not saying this is the perfect setup, just sharing what ended up working well for me. If anyone has a better config for similar hardware, I’d love to hear it.
Just checked GitHub's billing preview simulator, currently paying $39/month on Pro+ and happily within my included PRUs. Under the new usage-based billing starting June 1st, the same usage pattern would cost me $942.82/month. That's a 24x increase for identical usage. Base subscription price didn't change but the included credits cover exactly $0 of my actual consumption. Already looking at Cursor and Gemini Code Assist. Anyone else getting numbers like this?
I thought, why not giving Deepseek V4 Flash a try and spent 10 $ to see how it goes.
Surprisingly well, played around very heavily for around 2 hours: 25 mio tokens used, 500 k not cached and only 0.16 $ deducted from the account.
Same activities with the Sonnet 4.6 would probably already have burned my Copilot Pro for the month.
I honestly can't believe this shit. The new github copilot limits are an absolute fucking scam.
I just booted up my IDE, typed one single, incredibly simple prompt. Bare minimum boilerplate stuff, nothing complex at all. I check my dashboard and it ate 7% of my monthly limit.
SEVEN PERCENT. ON ONE PROMPT. I pay $39 a month for this.
I thought I was hallucinating so I went to test it on the completely FREE OpenAI codex using the gpt 5.5 xhigh max model. Pasted the exact same prompt just to see what would happen.
Guess what? It ate exactly 7% of my monthly limit there too. Identical usage, identical results.
The only difference is that Codex didn't charge me a single cent, while Microslop is charging me 39 bucks for the privilege of being a premium sucker. Is Copilot Pro+ seriously just a shiny wrapper around the free codex meant to milk clueless idiots like me? XD
Honestly I'm just so happy I only have a few days left on my subscription because this entire service is a fucking joke now. Anyone else jumping ship?
anyhow, new api token credit system effectively ended my brokie idea developing fork vibe coding platform....but knew the whole time GitHub is literally signing the bill for all those long amazing GPT 5.4 prompts that as a complete non coder was blown away that it even fixed some things even after 10 20 prompts where I thought it's beyond model's capabilities, then suddenly it worked (like sandbox previewed generated ai app or and so on) but now I am effectively paralyzed and did not even use it yet knowing the whole 10 bucks gonna last 1 or 2 prompts max....but that's ok ,only wished had more energy to do more work back then. lately reviewed competition offerings and as underrated as GitHub copilot was on X , it might been the best despite all the Claude code hype online and btw was never even fan of any opuses or sonnets....GPTs all the way....and despite looking at codex, I prefer vscode with files and terminal ....already have flashbacks writing this knowing we lost a star and charity that gave us free use so we all should appreciate and move on
Today I finally canceled my Copilot Max subscription.
What's interesting is that I'm not leaving because of the models.
The models are great.
The VS Code integration is great.
The overall user experience is probably still one of the best in the industry.
I'm leaving because the product no longer feels predictable.
As a heavy user, I don't spend my time asking for simple code completions. I use AI for repository-wide analysis, architecture discussions, agent workflows, debugging sessions, and large refactors.
Before the pricing changes, I could freely explore ideas.
Now I find myself thinking:
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How many credits will this consume?
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Is this task worth sending?
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Should I use a weaker model?
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Should I split this into smaller requests?
That mental overhead completely changes the experience.
Ironically, I was willing to pay more.
What I wanted was a higher fixed-price plan for heavy users, not a meter running in the background while I work.
I've started moving my workflow to Claude Code and a few other tools. Maybe I'll come back someday if GitHub introduces a predictable plan again.
For now, though, Copilot is no longer the tool that encouraged experimentation, and that's the reason I'm leaving.
Curious how many other people have actually canceled versus just talked about it.
I’ve been using Copilot since its public beta back in 2021, and I've been a paid subscriber since 2024. But with Copilot shifting to usage-based billing, it’s time to say goodbye. I’ve already jumped ship to CodeX. With Copilot's new pricing, I just don't see them offering more tokens than CodeX at the same price point. Plus, the CodeX client is an absolute joy to use—I love it.
I totally get Copilot's decision, though. AI is getting so powerful now that handing off a massive task in a single conversation can easily burn through 1M tokens. Letting people pay just $10 or $39 for 300 or 1,500 of those massive interactions is a business model that simply isn't sustainable.
Hey everyone,
I'm trying to figure out if anyone else is dealing with this. Our company just got hit with a massive reality check after switching to GitHub Copilot's new billing plan.
Up until recently, we were averaging around $3,000/month. But after evaluating the new billing structure and model usage, our latest estimates show a floor of $15,000/month—and that’s being conservative.
Going from $3k to a 5x increase at $15k just because of a billing plan update feels completely wild for the same development footprint.
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Has anyone else recently migrated to the new Copilot billing plan and seen this kind of exorbitant spike?
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Are the newer models consuming tokens/costs at a much higher rate under this new structure, or are we missing something in how the new seats/usage are calculated?
Would love to hear how other teams are adjusting to this update or if you're finding ways to optimize the costs. Thanks!
Just wanted to share and add to the feedback that current quotas aren't acceptable.
For reference I'm on Copilot for Students, I'm aware I might not have much ground to complain but I fail to understand how useful Copilot will be if I only can use it in 3 simple tasks a month.
I was dealing with a lot of PRs on a project, one of them created a merge conflict so I used the quick suggestion to use Copilot in order to solve the merge conflict in one of them. I knew they were just 3 locations in a file, how much would it take?
Well, it took 1/3 of my monthly quota.
Tried a single Claude 4.6 prompt this morning on my personal GitHub Copilot Pro subscription... 3% gone. One prompt!
Best part? I didn't even use the code it generated because it wasn't usable...
At that rate, I'll spend more time watching my quota than writing code.
Time to move on...
Bon voyage.
Hey, I have Copilot pro, and the number of credits I have is 1500, I wanna know what it is for the rest of the plans? As I didn't find it in the documentation
I’ve seen a lot of people complaining about Copilot and the new pricing, and honestly I get why people are annoyed, but I also think we should be fair.
For the last few years, a lot of us got a ridiculous amount of value from Copilot for pretty cheap. It saved me tons of time, money, helped me move faster, and honestly made coding less painful.
Microsoft/GitHub didn’t have to keep giving us access to these models at that price forever. Training and running this stuff is obviously expensive, so yeah, prices changing was probably always going to happen.
I might try other subscriptions too while they’re still cheap, but I still want to say thanks to the Copilot team. It was a great run, and I definitely got way more value out of it than I paid for.
So yeah, thank you Microsoft and GitHub Copilot.