Which is better value, a VPN data bundle or a monthly plan? The answer is not simply the option with the lower total price. What really matters is how much data passes through proxy routes each month, how consistently you use the service, and whether unused data expires. Light browsing usually suits a non-expiring data bundle, while regular streaming or frequent cross-border work is more likely to use a fixed monthly allowance. When usage varies widely, calculate the break-even point before accepting the waste that monthly resets can create.
Rather than relying on a vague sense that a plan should be enough, this guide breaks usage into trackable activities and provides formulas you can apply to plan prices. You do not need an exact answer at the outset. Observing one complete usage cycle is enough to narrow the estimate to a useful range for choosing a plan.
The billing difference between data bundles and monthly plans
A monthly plan does not mean unlimited use over time. It provides a fixed data allowance during one billing cycle. For example, the 250GB monthly plan listed on the plans page costs ¥18/month, with data resetting each month on the activation date. Any unused allowance from the previous cycle cannot automatically be treated as available data in the next one. Whether a monthly plan is worthwhile therefore depends on whether you can consistently use the current allowance.
A non-expiring data bundle works differently: data is deducted as you use it, and the remaining balance does not disappear when the month changes. It functions more like a prepaid data balance. If you do not use it one month, the balance remains available later; if you use more in another month, it decreases faster. For people who connect infrequently, travel on an irregular schedule, or only activate routes for specific tasks, non-expiring data can matter more than the headline per-GB price.
| Comparison point | Monthly plan | Non-expiring data bundle |
|---|---|---|
| Allowance changes | Starts a new monthly cycle and resets on the activation date | Decreases with actual usage |
| Effect of inactivity | Unused allowance in the current cycle becomes wasted | Pausing use does not make the remaining data expire with time |
| Budget profile | Predictable monthly spending, suited to continuous use | Top-up timing depends on usage speed, suited to intermittent use |
| Main decision metric | Whether average monthly usage can consistently approach the plan allowance | Per-GB price and the expected usage period |
| Common use cases | Continuous streaming, long-term work, and consistently frequent access | Light browsing, occasional travel, and backup routes |
First identify what counts toward actual usage
The proxy traffic shown by a client usually includes more than the body of a web page. Images, video segments, file uploads, cloud-drive sync, software updates, preloaded content, and protocol overhead may all pass through the current node. Counting only downloaded file sizes will often underestimate real consumption.
Do not overlook upstream data. Video calls send camera feeds, while cloud uploads, code pushes, and remote desktop activity also generate upload traffic. Some system dashboards show sent and received data separately, so add both when estimating usage. If the client shows only total traffic, record that total directly and do not add the system figures again.
Protocols and network retransmissions also affect usage
Shadowsocks, VMess, Trojan, VLESS, Hysteria2, and TUIC all carry protocol encapsulation, handshakes, and encryption data in addition to the original application traffic. Unstable networks may also trigger retransmissions. Hysteria2 and TUIC are designed for UDP-based transport and congestion-control scenarios, but that does not mean they will save data on every network. Packet loss, client implementation, and application type all affect the final result.
There is no need to invent a fixed percentage for protocol overhead when choosing a plan. A more reliable approach is to measure usage with the client, node, and network environment you actually use. Building a buffer from real statistics is more useful than copying someone else’s single speed-test result.
Routing rules determine which requests pass through the route
Global mode usually sends more app requests through the proxy; rule mode sends only domains or addresses matching the rules to the node. If local websites, system updates, and LAN services can connect directly, sensible routing can keep them from consuming plan data. Conversely, if rules omit a service that needs cross-border access, the app may fail to connect directly or load only part of a page.
DNS requests themselves use very little data, but the resolution path determines whether traffic is routed as intended and affects DNS leak test results. When troubleshooting, separate “whether traffic is billed” from “which path DNS requests use.” The former affects plan consumption; the latter affects name resolution and the privacy boundary. Low data usage is not a substitute for correct configuration.
- ✅ Record the client’s total upload and download traffic together.
- ✅ Keep the usual node, protocol, and routing mode unchanged while observing a complete cycle.
- ✅ Include cloud sync, meetings, system updates, and background media playback in your records.
- ❌ Do not use the size of one downloaded file to represent a full day’s consumption.
- ❌ Do not add client and system statistics directly, or you may count the same traffic twice.
How to estimate usage for light browsing, regular streaming, and everyday work
The most useful way to estimate monthly data is not to apply a fixed user label first, but to break usage into “data per session” and “frequency.” Light browsing can mean mostly text pages for one person and image-heavy pages with autoplay media for another; the difference in traffic can be substantial. Treat the three scenarios below as recording templates, not fixed allowances assumed without measurement.
Light browsing: sample a typical session
Choose a representative browsing session, reset the client’s statistics before starting, complete your usual tasks, and record the usage. Typical tasks may include searching for information, opening documents, viewing images, and sending or receiving text messages. Multiply the traffic from one session by the approximate number of monthly sessions, then add a small buffer.
If you do not connect on a fixed schedule—for example, only when researching information outside your region or using a particular service temporarily—a non-expiring data bundle is usually easier to manage without waste. The key is not necessarily the lowest per-GB price, but that months without usage do not reduce the balance.
Regular streaming: track viewing time and quality separately
Streaming platforms adapt bitrate based on network conditions, screen characteristics, and account settings. Even when playing the same content, automatic quality may switch between resolutions. Do not estimate usage from the video’s stated runtime alone. A better approach is to use a consistent quality setting, play a representative segment in full, and read the client’s increase in usage.
Previews, autoplayed intros, rebuffering after seeking, and repeated loading after switching routes all increase consumption. If streaming is your main long-term, high-frequency use case, a monthly plan is often easier to budget because its fixed fee and allowance can be compared directly with your monthly viewing habits. If you watch heavily only in a few months, also compare the cost of inactive months.
Everyday work: add up usage by task type
Work traffic should not be calculated from online time alone. Text collaboration and code pushes may last a long time while using little data; video meetings, design-file sync, remote desktops, and large attachments can use much more in a short period. Divide workdays into meetings, synchronization, remote operations, and ordinary web access, then record each category separately.
Clients on different platforms can also change the measurement boundary. System proxies, virtual network adapters, and routing permissions are not identical on Windows and macOS; mobile platforms are additionally affected by background-execution policies. Do not copy one device’s records directly to another. UJVPN does not limit the number of devices, but plan usage should still be estimated by combining all devices actually in use.
- In your usual client, confirm the current subscription, node, protocol, and routing mode.
- Reset usage statistics if possible, or record the cumulative total at the start.
- Complete your browsing, streaming, or work tasks as usual without changing quality or sync settings midway.
- Record upload, download, and total traffic at the end, and note the task type.
- Add multiple records according to their actual frequency to build your own monthly estimate.
- Keep a buffer for temporary updates, rebuffering, and network retransmissions; do not treat the estimate as a hard limit.
Compare both plans using per-GB cost and the break-even point
Once you have an estimated usage figure, you can make a like-for-like comparison. The per-GB price of a non-expiring bundle equals its price divided by the included number of GB. A monthly plan’s advertised per-GB price equals the monthly fee divided by its monthly allowance, but that is only a theoretical figure. If you do not use the full allowance, calculate the real per-GB cost by dividing the monthly fee by your actual usage that month.
Non-expiring data price per GB = bundle price ÷ bundle allowance
Advertised monthly price per GB = monthly fee ÷ monthly allowance
Actual monthly price per GB = monthly fee ÷ actual usage that month
Monthly-plan break-even usage = monthly fee ÷ non-expiring data price per GB“Monthly-plan break-even usage” is the most useful result. If your expected monthly usage is above this figure, the monthly plan offers better value on the same basis; below it, a non-expiring data bundle is usually more economical. Use the current bundle price and allowance shown on the plans and pricing page; do not rely on an old screenshot or someone else’s purchase price.
You can also estimate how long a data bundle will last by dividing its total allowance by average monthly usage. If usage is highly irregular, do not rely on the arithmetic average alone. Keep records for both high-use and low-use months to check whether the balance can cover unexpected tasks.
Situations that can distort your estimate
The first is ignoring speed-test traffic. Speed tests actively transfer data, and repeatedly switching nodes and testing again adds to the client’s recorded usage. Test routes when needed, but do not treat frequent speed tests as cost-free.
The second is background synchronization. Photo backups, cloud drives, browser sync, and software updates may start as soon as a connection is established. If you watch only the foreground app, you may wrongly attribute this usage to a protocol problem. Pause nonessential sync during troubleshooting and compare the statistics before and after.
The third is confusing subscription links with traffic. A subscription link lets the client retrieve node settings; importing or updating it involves only configuration data. The data that continuously consumes your allowance is the application content transferred through the node afterward. Frequent subscription updates do not by themselves make the subscription the main source of traffic.
The fourth is confusing route types with plan traffic. Direct connection means the client connects straight to the exit node; relay routing first enters a relay node and is then forwarded to the exit; IEPL dedicated lines are typically used to arrange specific cross-border links. These mainly affect the path, stability, and network performance. They do not make the same application data exempt from traffic accounting. Actual billing should still be based on the plan usage shown by the service and client.
The fifth is recording only tasks that completed smoothly. Network fluctuations can cause video rebuffering, interrupted file transfers, or repeated page-resource requests. Samples used for plan selection should include these events as part of normal use, rather than retaining only the ideal result from one session.
- ✅ Record traffic from speed tests, synchronization, updates, and repeated buffering.
- ✅ Combine usage across devices before comparing it with the plan allowance.
- ✅ Check the activation date and data-reset time before switching plans.
- ❌ Do not mistake IEPL, relay routing, or direct connection for separate traffic-billing units.
- ❌ Do not use one unusually high spike to represent long-term average monthly usage.
Make the final choice based on your usage pattern
If your main needs are occasional research, short business trips, or keeping a backup route available, start by considering a non-expiring data bundle. It ties cost to actual consumption, so you do not need to use data deliberately just to avoid losing a monthly allowance. Before choosing, compare the per-GB price and estimate how long the balance will last based on your average monthly usage.
If you stream regularly, attend cross-border meetings continuously, or sync data steadily every day, start by considering a monthly plan. UJVPN’s 250GB monthly subscription costs ¥18/month, so use your monthly records to judge whether you can consistently use the allowance. Do not assume it is good value simply because the allowance looks generous, and do not ignore the actual per-GB cost just because the total price is fixed.
If work and entertainment usage varies greatly from month to month, choose around your peak demand rather than forcing every month into the same billing model. The decision still comes down to three factors: average monthly usage, peak usage, and how continuously you use the service. A non-expiring bundle addresses waste during idle periods; a monthly plan addresses budget and allowance planning for sustained use.
Finally, plan calculations answer only the cost question; they cannot replace route testing. Whether a node suits your local network also depends on connection stability, routing results, and the performance of your target services. Measure real usage in the same environment first, then apply the pricing formulas. This is more reliable than deciding from labels such as “light user” or “heavy user.”