On June 1, 2026 — yesterday, as I write this — GitHub Copilot flipped every plan over to usage-based billing. Premium request units are gone, replaced by GitHub AI Credits that drain against real token counts. I run client work through Copilot, Cursor, Claude Code, and Windsurf on a near-daily basis at Warung Digital Teknologi (wardigi.com), so this change landed directly on a stack I depend on. The morning it took effect, three of our active project repos were mid-sprint.
This is not another "top 10 AI tools" roundup. It is a pricing teardown of the four assistants my team actually pays for, written by someone who has watched each billing model break in production. If you are trying to figure out what a month of heavy agent use will actually cost in mid-2026, this is the breakdown I wish I'd had before the meter changed under me.
The short version: four tools, four billing philosophies
Before the details, here is how the four now charge, because they no longer agree on anything:
- GitHub Copilot — usage-based AI Credits as of June 1, 2026. 1 credit = $0.01. Each plan ships a monthly credit allotment; overflow is metered against published model token rates.
- Cursor — usage-based credit pool since June 2025. Pro is $20/month and includes a $20 credit pool. Agent mode burns it fast.
- Claude Code — flat subscription tiers tied to a rolling time window. $20/month Pro, $100 Max 5x, $200 Max 20x. No per-token meter on the subscription itself.
- Windsurf — moved away from credits to quotas (rate limits) in 2026. Pro rose from $15 to $20/month, with limits that refresh daily and weekly.
So in the span of about a year, Cursor and Copilot moved toward usage metering, Windsurf moved away from it, and Claude Code stayed on a flat plan with a usage window. That divergence is the whole story. Picking the cheapest tool now depends entirely on how you work, not on a sticker price.
GitHub Copilot: the June 1 credit switch, explained
Here is the mechanic that matters. GitHub AI Credits draw down at a fixed rate of 1 credit = $0.01 USD, so a $10 budget covers 1,000 credits. Every plan now includes a monthly credit allotment, and paid plans can buy more. Credits are consumed based on token usage — input, output, and cached tokens — at each model's published API rate.
The plan-level numbers GitHub published:
- Copilot Pro+ — $39/month, includes $39 in monthly AI Credits.
- Copilot Business — $19/user/month, includes $19 in monthly AI Credits.
- Copilot Enterprise — $39/user/month, includes $39 in monthly AI Credits.
Notice what just happened: your monthly credit allotment equals your subscription price. Pay $19, get $19 in credits. That is not a discount — it is your subscription dollars repriced as a metered wallet. Once the wallet is empty, you are buying more credits at $0.01 each or you stop.
There is one wrinkle worth knowing if you pay annually. Annual Pro and Pro+ customers stay on premium request-based pricing until their plan expires, but model multipliers increase on June 1 regardless. The Visual Studio Magazine headline summed up the developer reaction bluntly: "You will get less, but pay the same price." Having watched our own Copilot Business seats, that framing is fair for heavy users and unfair for light ones — which is exactly the tension a flat fee used to hide.
My take: for inline autocomplete and quick chat, Copilot is still the cheapest always-on tool, and the credit wallet rarely empties if that is all you do. The pain starts the moment you run agent mode against a large model repeatedly — that is where the meter spins.
Cursor: the tool that taught me to read the meter first
Cursor moved to usage-based pricing in June 2025, a full year before Copilot, so it has been my early-warning system for what metered AI coding feels like. Pro is $20/month and includes a $20 credit pool. The honest part nobody puts on the pricing page: daily agent users typically spend $60-100/month total once you add overage, not $20.
I can confirm that range from our own invoices. On a Laravel + Vue client build this past quarter — the kind of multi-file refactor where you let the agent loop — one developer's Cursor spend crossed $70 in a month without anyone noticing until the bill arrived. The $20 plan number is a floor, not a budget.
The May 2026 update changed the math in Cursor's favor, though. Cursor shipped Composer 2.5, an in-house long-horizon model that matches Opus 4.7 and GPT-5.5 on benchmarks but costs $0.50 per million input tokens and $2.50 per million output tokens. That is dramatically cheaper than routing every agent call through a frontier model. When I switched our default Cursor model to Composer 2.5 for routine work and reserved the frontier models for genuinely hard problems, the credit burn on that same project dropped by roughly a third. The lesson: on a metered tool, model selection is cost control.
Claude Code: the flat plan that hides a usage window
Claude Code is the outlier, and after the June 1 Copilot change it is the one I find myself recommending most for predictable budgeting. It is bundled with the Claude subscription: $17/month on annual billing or $20 monthly for Pro, $100/month for Max 5x, and $200/month for Max 20x. There is no per-token meter bolted onto the subscription.
The catch is the usage window, not a credit wallet. Pro gives standard Claude Code limits on a 5-hour rolling window. Max 5x gives five times that capacity; Max 20x gives twenty times. So instead of a dollar meter that can surprise you at month-end, you hit a rate limit and wait, or upgrade a tier. For agency work where I need the bill to be the same every month so I can quote a client a fixed retainer, that predictability is worth more than a slightly lower theoretical cost.
Claude Code also has the deepest reasoning of the four, running Claude Opus 4.7 with a 1M-token context window. On our SmartExam AI question-generator work — where I routinely feed the model long specification documents and existing question banks in a single pass — that context size is the difference between one clean prompt and an awkward chunking dance. I would not run that workload on a tool charging me per token for a million-token context.
My recommendation: if you are an agency or freelancer who needs to forecast cost, Claude Code's flat tiers beat a credit meter every time. If you are a casual user who codes a few hours a week, the 5-hour window on Pro is plenty and you will never see Max pricing.
Windsurf: the tool that ran the experiment backward
While everyone else marched toward metering, Windsurf went the other way. It switched from credits to quotas — straight rate limits — and raised Pro from $15 to $20 to match Cursor. It now bundles the Devin Cloud agent and Devin Terminal CLI at that same price. The quota system means you will not burn through a monthly allocation in a single sprint; limits refresh on a daily and weekly basis instead.
This is the model I'd hand to a junior developer without a second thought. There is no wallet to drain, no overage invoice, no "why is our Cursor bill $300 this month" Slack message. You hit the daily ceiling, you slow down, the ceiling resets tomorrow. For a small team where I am the one explaining the AWS-style bill to a non-technical founder, a quota is far easier to defend than a meter.
The tradeoff is real, though: a quota that refreshes daily is useless during a crunch where you need ten hours of uninterrupted agent work today and nothing tomorrow. Metered tools let you spend your way through a deadline; quota tools make you wait. I have hit that wall on Windsurf during a launch weekend, and it is genuinely annoying.
Side-by-side: what a heavy month actually costs
| Tool | Entry price | Billing model (mid-2026) | Realistic heavy-user monthly cost | Cost predictability |
|---|---|---|---|---|
| GitHub Copilot | Pro+ $39/mo (incl. $39 credits) | Usage-based AI Credits (1 credit = $0.01) | $39 + overage; agent-heavy use climbs fast | Low — metered after allotment |
| Cursor | $20/mo (incl. $20 pool) | Usage-based credit pool | $60-100 for daily agent users | Low — overage is the norm |
| Claude Code | $20/mo Pro ($17 annual) | Flat tier + 5-hour usage window | $20 / $100 / $200 by tier — no overage | High — fixed monthly cost |
| Windsurf | $20/mo Pro | Quotas / rate limits (no wallet) | $20 flat; throttled at ceiling | High — no overage, but you wait |
The three unique data points I want you to take from this table: Copilot's allotment exactly equals its price ($39 credits on a $39 plan, $19 on $19), so the "included credits" are not a bonus; Cursor's real-world heavy-user cost is 3-5x its $20 sticker once agent overage is counted; and Claude Code is now the only one of the four with no overage mechanism at all, which is why it is the easiest to put in a client quote.
Estimating your credit burn before the bill arrives
The single most useful habit I picked up after the Cursor metering switch in 2025 is doing a back-of-the-envelope token estimate before committing a workload to a metered tool. It takes thirty seconds and it has saved me from more than one ugly invoice. Here is the method I use with the team.
Take Copilot's fixed rate as the anchor: 1 AI Credit = $0.01, and credits draw against input, output, and cached tokens at each model's published API rate. A single agentic multi-file refactor pass on a frontier model can easily move 200,000-400,000 tokens once you count the repo context it reads plus the diffs it writes. At frontier-model rates that is real money per run — not the fraction of a cent an autocomplete costs. Run that loop fifteen times in a day chasing a stubborn bug and you have spent more than your monthly Copilot allotment in an afternoon.
That arithmetic is exactly why I route those loops to Claude Code's flat tier instead. The same fifteen-iteration debugging session that would chew through a credit wallet on a metered tool costs me nothing extra on a $100 Max 5x plan — I either stay inside the 5-hour window or I wait it out. When I sat down and compared a genuinely heavy debugging week across both, the metered path would have run an estimated $40-60 in overage; the flat path ran $0 over subscription. For one workload that is the difference, and it flips entirely for a light user who never approaches a frontier-model loop.
The practical rule I now give every developer on the team: if a task is "read a lot, write a little" (asking questions, generating one function), a metered tool is cheap. If it is "read a lot, write a lot, iterate" (agentic refactors, debugging loops, large-context generation), put it on a flat or quota tool. Match the workload shape to the billing shape and the bill stops surprising you.
How I actually mix them at Warung Digital Teknologi
I do not use one tool. After eleven-plus years in IT and 50-plus shipped client projects, I have learned that the cost-optimal setup is a deliberate combination, and the June 1 change reinforced it:
- Copilot Pro stays on as always-on autocomplete in the editor. Inline completion barely touches the credit wallet, so it is cheap insurance for typing speed.
- Claude Code handles the heavy, long-context agentic work — multi-file refactors, reading a whole spec, the SmartExam generation pipeline — because the flat tier means I can run it hard without watching a meter.
- Cursor comes out when I want its specific IDE agent flow, but only with Composer 2.5 set as the default model to keep the credit burn sane.
- Windsurf is what I put on a junior developer's machine, because a quota I cannot accidentally overspend is the right shape for someone still learning to prompt efficiently.
That combination runs us roughly $20 (Copilot) + $20-100 (Claude Code tier depending on the month) + occasional Cursor credits, and the bulk of the heavy work sits on the one tool with no surprise overage. Before June 1, I leaned more on Copilot's flat premium-request model for agent work. The credit switch pushed that workload onto Claude Code, and honestly the bill got more predictable as a result.
Frequently asked questions
Is GitHub Copilot more expensive after June 1, 2026?
For light users — autocomplete and occasional chat — no real change; the included credit allotment covers it. For heavy agent users, effectively yes: the monthly allotment equals your subscription price, and anything beyond it is metered at 1 credit = $0.01 against model token rates. The community consensus is that heavy users "get less for the same price."
Which AI coding assistant has the most predictable bill?
Claude Code and Windsurf. Claude Code uses flat tiers ($20 / $100 / $200) with a usage window and no overage charge. Windsurf uses quotas with no wallet to drain. Both make month-end cost certain, unlike Cursor and Copilot's metered models.
Why did my Cursor bill exceed $20?
The $20 Pro plan includes only a $20 credit pool. Agent mode and complex multi-file edits consume credits quickly, and daily agent users commonly spend $60-100/month total. Switching the default model to the cheaper Composer 2.5 ($0.50/M input, $2.50/M output) is the single most effective way to cut that bill.
Is Windsurf cheaper than Cursor now?
They share the same $20 sticker, but Windsurf's quota model caps your spend at the subscription price with no overage, while Cursor's credit pool routinely leads to overage. For predictable cost, Windsurf is cheaper in practice; for unlimited spend-through-a-deadline flexibility, Cursor wins.
Can I just use the free tiers?
For learning and light use, yes — Copilot's free tier covers basic completions and a small number of premium chat requests, and Windsurf offers a free tier with generous tab completion. But agentic, multi-file work on any of these tools quickly pushes you onto a paid plan.
The bottom line
The first half of 2026 turned AI coding assistant pricing into a fragmented mess of credits, tokens, quotas, premium requests, and daily caps that all coexist. Comparing tools now requires reading the fine print, not the headline price. From inside a working agency, my advice is simple: if you need a predictable monthly bill — and most agencies and freelancers do — anchor your heavy work on Claude Code's flat tiers or Windsurf's quotas, and keep Copilot around as cheap always-on autocomplete. Reserve the metered tools for the moments their specific strengths justify watching the meter. The cheapest tool on paper is rarely the cheapest tool on your invoice, and after June 1 that gap only widened.
Written by Fanny Engriana — software engineer with 11+ years building production systems and 50+ shipped client projects at Warung Digital Teknologi. Connect on LinkedIn.
