Cursor 75% Off Subscription Plan Deep Dive: Is Pay-As-You-Go Actually Worth It?

Preface

A subscription service called "Cursor Efficiency Tool" has recently appeared on Bilibili, claiming to offer genuine Pro-level access at just 25% of the official price. As a content creator who closely follows AI coding tools, I approach these kinds of "money-saving schemes" with equal parts curiosity and caution — after all, cheap shared accounts and cracked plugins have already burned plenty of users.

This article breaks down the service based on its actual promotional materials, analyzing it across three dimensions: technical implementation, cost analysis, and risk assessment — to help you make a rational decision about whether it's worth trying.

Side-by-Side Comparison of Major Cursor Payment Options

Official Subscription: Pricier, but Rock-Solid

Cursor's official Pro plan runs $20/month or roughly $200/year. It's not cheap, but the advantages are clear: account security, unrestricted model access, and support for the latest features. For developers who use it heavily, the official subscription is the lowest-friction option.

Cheap Shared Accounts: Bargain Prices, Serious Pitfalls

The "Pro accounts" selling for 50–60 RMB on Xianyu and Taobao look tempting, but they come with three critical problems:

Expiration waste: Most are sold as monthly cards. Any unused quota vanishes at the end of the month, making actual utilization rates extremely low. One user reported buying a 58 RMB monthly card, only using it three times due to a busy schedule before it expired — working out to nearly 20 RMB per session.

Stability issues: Multi-user sharing causes frequent disconnections and session conflicts. Shared accounts reportedly have average uptime less than 40% that of official accounts — a sudden failure during a critical project crunch can seriously derail your workflow.

Security risks: Bulk-registered accounts are prime targets for platform enforcement. If the system detects logins from different locations or multiple simultaneous devices, not only will the account get banned — in severe cases, your device itself may end up on Cursor's blocklist, permanently locking you out of the official service.

Cracked Plugins: "Free" at a Hidden Cost

The "cracked" or "patched" versions on the market work by tampering with Cursor's underlying code or proxying API calls. The problems with this approach:

• Degraded output: They may appear to call Pro models on the surface, but quietly compress parameters in the background, significantly reducing code quality
• Update lag: Every time Cursor releases an official update, you have to wait for the cracked version to catch up — often weeks or even months behind
• Data exposure: Your code and project files may be logged by third-party servers, creating a real leak risk

How the Cursor 75% Off Plan Actually Works

The core mechanism this plan advertises is "pay-as-you-go + intelligent scheduling." In short, the operator bulk-purchases official Pro accounts and uses a custom plugin to dynamically allocate accounts from a pool while tracking individual usage.

Pay-As-You-Go: No More Wasted Quota

Unlike traditional monthly cards, this plan works more like prepaid phone credit:

• Top up 100 RMB ≈ $13.7 USD equivalent in spending credit
• Billed based on actual Tokens consumed per call
• Balance never expires — no time-based resets

In theory, this model genuinely does eliminate quota waste. A light user spending 20–30 RMB per month compares favorably against the ~140 RMB/month official subscription, offering a meaningful cost reduction.

How the Plugin Is Built

Based on the video's description, the plugin's core features include:

1. Smart account rotation: Automatically releases resources when idle, matches a new account when needed
2. Consumption tracking: Logs Token usage and official pricing for each model call
3. Native UI preservation: Doesn't modify Cursor's underlying code, maintaining compatibility with official updates

This "plug-in" rather than "invasive" technical approach theoretically does reduce ban risk. That said, any form of account sharing violates Cursor's Terms of Service — it's just a matter of degree.

Background: What Is an "Account Pool"? An account pool is the core infrastructure concept behind these services. The operator bulk-registers or purchases a large number of paid official accounts, manages them centrally, and uses a scheduling system to dynamically assign them to end users on demand. Each user isn't bound to a fixed account — the system temporarily assigns an idle one from the pool to handle the request, then returns it when done. This pattern is well-established in cloud computing for database connection pools, IP proxy pools, and similar use cases. However, applying it to AI coding tool subscriptions creates a fundamental conflict: Cursor's Pro subscription is a Per-Seat License — a personal license for one person per account. The account pool model is, legally speaking, an unauthorized resale that directly contradicts the Terms of Service. On the Token side: LLM call costs are typically measured in Tokens, with input and output text each consuming different amounts. Complex code completion tasks can consume several times more Tokens than simple Q&A, making it genuinely difficult to predict actual spending in heavy-use scenarios.

Cost-Benefit Analysis: Who Actually Saves Money?

Three User Types Who Benefit from Pay-As-You-Go

Light users: Those making fewer than 10 calls per month, mainly for code review or writing assistance. Under pay-as-you-go, monthly costs can stay under 30 RMB — over 70% savings versus the official plan.

Students: Limited budgets with periodic bursts of high demand (course projects, thesis deadlines). Top up when needed, pay nothing when idle.

Small teams: A small development team sharing a pool can split costs. However, the compliance implications of this arrangement are questionable.

Three User Types Who Should Avoid It

Heavy power users: Developers who make heavy daily use of advanced models like GPT-4 and Claude may find pay-as-you-go costs approaching or exceeding the official subscription. One full-stack engineer calculated that their monthly Token consumption worked out to around 180 RMB — making the official plan the better deal.

Enterprise users: Commercial scenarios with strict data security and reliability requirements can't afford uncontrollable third-party risk. A project delay caused by account issues would cost far more than the subscription savings.

Feature chasers: Although the service claims to support the latest official versions, model updates in the account pool may lag behind Cursor's releases.

Three Risks You Need to Understand Before Signing Up

Compliance Risk: Crossing the Terms of Service Line

Under Cursor's Terms of Service, account sharing and resale are both violations. Even though the plan emphasizes that "each user gets an independent account," the underlying reality is still the operator bulk-purchasing and redistributing access — which could be traced back by the platform.

Background: How Platforms Detect Account Sharing Detection methods for account sharing in AI coding tools like Cursor have grown increasingly sophisticated. Common detection signals include: concurrent request counts on a single account, geographic anomalies in login IPs, device fingerprint change frequency, and deviations from normal user behavior patterns. Even if the operator claims each call uses an "independent account," a batch of accounts that exhibits similar behavioral patterns — similar registration dates, top-up timing, usage frequency distribution — will trigger the platform's risk models. Once the entire batch is flagged as a prohibited account pool, not only will the operator's accounts be mass-banned, but associated user device IDs or IP ranges may also end up blacklisted. It's worth noting that ChatGPT Plus, GitHub Copilot, and similar services have all conducted crackdowns on account sharing, with some third-party proxy services shutting down within weeks of enforcement actions and users losing their entire remaining balance.

Service Continuity Risk: Your Balance May Be Unrecoverable

Third-party services like this tend to have unpredictable lifespans. If the operator shuts down due to technical issues, regulatory action, or a business pivot, your remaining balance may be gone for good. Keep individual top-ups to an amount you can afford to lose.

Data Privacy Risk: Unknown Destination for Your Code

Although the plugin claims not to modify underlying code, it must read usage data to track consumption. Whether that data gets uploaded, how it's stored, and whether it's analyzed — users have no way to know. For projects involving trade secrets or sensitive information, this uncertainty deserves serious consideration.

Rational Recommendations for Different Users

1. Run your own numbers first: Track how often and in what context you actually use Cursor over a month. If it's fewer than 3 times a week, pay-as-you-go is genuinely more economical. If you're using it heavily every day, the official subscription is the more sensible choice.

2. Start with a small top-up: If you decide to try it, keep your first deposit under 50 RMB. Observe one month of actual spending and service stability before committing further.

3. Separate critical projects from everyday assistance: Don't make your entire workflow dependent on a third-party service. Use the official account for important projects, and use the third-party service for routine assistance — spread the risk.

4. Watch for official promotions: Cursor continues to refine its pricing strategy and has already introduced student discounts and team plans. More flexible subscription options may follow.

Closing Thoughts

The Cursor 75%-off subscription plan is, at its core, a "price discount zone" created outside the official pricing structure through technical means and economies of scale. For budget-conscious light users, it's a genuinely viable option worth considering. But for professional developers and enterprise users, the stability and compliance guarantees of an official subscription carry far greater weight.

The value of any tool ultimately shows up in productivity gains. If chasing a few dozen RMB in savings means constantly dealing with disconnections, lag, and feature limitations, you're losing more than you're saving. The smartest decision is choosing the plan that actually fits your usage patterns and risk tolerance.