Choosing between a VPN data plan and a monthly subscription takes more than comparing prices. Check whether data resets, whether unused months continue consuming the subscription period, and how much data all devices use through the encrypted tunnel. Light browsing is driven by web assets and small files; streaming depends mainly on bitrate and playback time; everyday work includes meetings, cloud sync, code dependencies, and background updates.

That is why a generic “monthly data usage” chart can be misleading. The same video can use different amounts of data depending on resolution and platform encoding, while a webpage may load images, video, or large scripts. A more reliable approach is to measure a representative usage period on your own devices, record sent and received bytes from the client or operating system, and then choose between a monthly-reset subscription and a non-expiring data plan.

The key difference between monthly subscriptions and data plans

A monthly subscription provides a fixed billing cycle and a fixed data allowance. For example, 74VPN’s monthly plans include 60GB for ¥9.9/month and 250GB for ¥18/month, with data resetting monthly on the activation date. This suits people who connect consistently during every cycle and can roughly estimate their usage.

The main benefit of a data plan is not how much you can use each month, but that the purchased data never expires. If you do not use it for a while, it is not cleared when a billing cycle ends. This is better suited to intermittent needs, concentrated use during travel or project periods, and anyone who does not want to maintain a monthly subscription during idle months.

60GB Base monthly plan allowance, reset monthly on the activation date
250GB Higher-use monthly plan allowance, reset monthly on the activation date
30 days 74VPN no-questions-asked refund period
Comparison point Monthly subscription Non-expiring data plan How to decide
Availability model Allowance is provided continuously by billing cycle Data never expires Check for long periods of inactivity
Data handling Resets monthly on the activation date Deducted gradually based on actual transferred data Check whether usage is stable across cycles
Best for Regular work, frequent streaming, and consistent access Occasional browsing, short-term projects, and intermittent travel Record actual connection days and transferred data
Impact of inactivity Unused allowance expires at reset Unused data remains available Count cycles with no connection at all
Budget profile Fixed-cycle costs are easier to predict Top-up frequency depends on actual consumption Recalculate from historical data instead of guessing
Initial conclusion: If you use the service consistently every billing cycle, especially for streaming, meetings, or large file synchronization, compare monthly subscriptions first. If your connection schedule is irregular and you often stop using it for long periods, a non-expiring data plan usually better matches actual consumption. The final choice should still be based on measurements from your own devices.

How to measure your monthly usage

You do not need a dedicated speed-test tool. Windows, macOS, iOS, Android, and Linux can all report traffic through system network statistics or client connection details. Different clients may label it “upload and download,” “sent and received,” or “session traffic,” but the method is the same: record the starting point, use the connection normally for a representative period, then read the ending difference.

  1. Do not disable the large downloads, system updates, or full cloud synchronization that are part of your normal routine, or a one-off task may distort the sample.
  2. Use the routes and protocols you normally connect to instead of switching temporarily to a completely different configuration for the test.
  3. Reset the traffic statistics in the system or client. If resetting is not possible, record the sent and received values at the start.
  4. Browse, stream, attend meetings, pull code, and synchronize files as usual. Do not test only the light load of opening a homepage.
  5. Record total uploads and downloads at the end, along with the usage scenarios and connection time.
  6. After covering both workdays and days off, project the data onto your full billing cycle and leave room for temporary updates and retransmissions.

Standardize units before calculating. Network bitrate is usually expressed in bits, while files and plan allowances use Bytes; eight bits equal one Byte. If a player shows bitrate, estimate the media data with “bitrate × playback time ÷ eight,” then account for audio tracks, subtitles, container information, protocol encapsulation, and possible retransmissions. Because platforms adjust quality dynamically, client statistics are usually more reliable than bitrate-only estimates.

Cycle estimate =
  Browsing and app usage
+ Video and meeting usage
+ File uploads and downloads
+ Background sync and updates
+ Encryption overhead and retransmission buffer

Do not run a speed test at full bandwidth repeatedly and treat the result as monthly usage. Speed tests actively transfer large amounts of data: they measure throughput at that moment, not everyday consumption. Plan selection should be based on normal behavior; route performance is a separate question and should be tested separately.

  • ✅ Record uploads and downloads together, not just received traffic
  • ✅ Use your usual routes, protocols, and split-tunneling rules
  • ✅ Include real tasks such as browsing, video, meetings, and file synchronization
  • ✅ Check whether system updates or cloud storage are running in the background
  • ❌ Do not extrapolate one speed-test result to a full month
  • ❌ Do not use data from one device to represent all shared devices

How to assess three common usage scenarios

Light browsing: rule out embedded video resources first

News, documents, searches, and text messaging may seem lightweight, but modern pages often include high-resolution images, autoplay clips, font files, and scripts. Counting only the article body can significantly underestimate usage. Keep the browser cache enabled as you normally would during testing, since repeat visits often reuse some assets; clearing the cache frequently forces every visit to download them again.

If usage is concentrated on a few dates and each session is limited to research and text tasks, a non-expiring data plan can better avoid waste during idle periods. If the browser stays connected for long periods while sync, messaging, and web apps run in the background, check whether background transfers make usage consistent. Consistent does not mean heavy, but it makes a monthly plan easier to predict.

Regular streaming: bitrate matters more than the “quality” label

Video is usually the largest source of downstream data among these three scenarios. The same “HD” label can represent different bitrates across platforms, sources, and codecs; seeking and rebuffering, repeatedly switching routes, and automatic quality increases can also add downloads. Test with your normal quality settings, play content you regularly watch in full, and read the actual transfer total from the client.

If streaming continues throughout every billing cycle, a monthly subscription is usually easier for controlling fixed costs. Choosing 60GB or 250GB should account not only for viewing time, but also for other devices, system updates, and web access. If you stream only during occasional trips and remain completely inactive otherwise, a non-expiring data plan may still be a better fit.

Everyday work: count uploads, meetings, and dependency downloads

Work traffic is less concentrated than video traffic. Web consoles, remote documents, and email attachments may be small, but video meetings continuously transfer data in both directions, cloud storage uploads changes in the background, and development environments may download packages, container images, and code repositories. Looking only at browser tabs often misses these background connections.

Developers should also check split-tunneling rules. If code hosting, package registries, and API domains all go through the tunnel, dependency installs and automated tasks consume plan data; if only requests requiring a specific exit route use the proxy while other downloads connect directly, usage will differ substantially. The goal of split tunneling is not to reduce data blindly, but to align paths with work requirements and measure again after changing the rules.

Why protocols, routes, and split tunneling affect data usage

Shadowsocks, VMess, Trojan, VLESS, Hysteria2, and TUIC can all carry proxy traffic, but their encapsulation, transport layers, and congestion handling differ. They do not make the same large file magically smaller. Protocol headers, encryption overhead, handshakes, keepalives, and retransmissions add traffic; on poor connections, packet-loss retransmissions usually matter more than the protocol name itself.

Shadowsocks is an encrypted proxy protocol commonly used to forward TCP and UDP traffic by rule. VMess and VLESS are often managed through subscription configurations in compatible clients; VLESS focuses on lightweight identity and transport combinations, while security also depends on the outer transport and encryption settings. Trojan commonly uses TLS for transport. Hysteria2 and TUIC use QUIC-based approaches for unstable networks and UDP scenarios, but retransmissions can still occur with high packet loss. “Loss resistance” does not mean zero overhead.

Subscription links usually contain node names, addresses, ports, authentication details, and transport parameters. After importing one into a client, let the client generate nodes from the subscription instead of changing TLS, transport-layer, or server-name fields without understanding them. Subscription updates may change route parameters; if node names or rules change after an update, confirm the default node and split-tunneling mode again.

Route type Basic route Main characteristics Impact on usage estimates
Direct The local network connects directly to the remote node The path is more direct, but quality is affected by fluctuations on the international public network Packet loss and repeated connections may increase retransmissions
Relay Traffic reaches a relay entry point first, then is forwarded to the exit May improve some paths from the local network to the exit Measure again after switching the entry or exit
IEPL private line Connects the relevant entry and exit through a dedicated international link Path management differs from a standard public-network direct connection Do not estimate data from the route name alone; use client statistics

Route type mainly affects the path and connection quality; it does not change the basic basis for plan billing. Differences between IEPL private lines, relays, and direct connections should not be reduced to a fixed speed ranking, because local carrier networks, exit location, target sites, and current link conditions all affect results. Choose a plan based on actual transferred data, not just node labels.

Platform statistics and client import differences

Windows and Linux generally make it easy to inspect traffic by network interface or process, and they are useful for checking system proxies, TUN mode, and routing tables. On macOS, cross-check system network statistics against client session data. iOS and Android more often provide app-level or network-level usage, but their measurement periods may not match the plan billing cycle, so confirm the start and end times first.

After importing a subscription, clients may offer rule, global, and direct modes. Rule mode sends only matching domains or IP addresses through the tunnel; global mode routes more application traffic through the proxy; direct mode is generally useful for temporary troubleshooting. Support for system proxies, virtual network adapters, and app exclusions varies by platform, so the same subscription may produce slightly different measurements on different platforms.

If a computer uses rule-based routing while a tablet uses a global connection, do not use the computer sample to estimate tablet usage. A safer approach is to record each device separately and combine the results into the account total. On platforms without fine-grained app routing, disable unnecessary background synchronization during testing to identify the main sources; then restore everyday settings and run one complete measurement before regular use.

Do not overlook DNS and split-tunneling checks

Data estimation addresses plan capacity; DNS and exit checks verify whether traffic follows the expected path. A client showing “connected” does not mean every application uses the same exit. Programs outside the system proxy, incorrect bypass rules, and a browser’s own DNS settings can send some connections along different paths.

A DNS leak usually means domain queries did not follow the expected controlled resolution path and were instead handled by the local network or another resolver. This is separate from how much plan data is used, but it affects how split-tunneling results are interpreted. During testing, check the exit IP, DNS resolution results, and the application’s actual connections together. If an app still uses a local path, its traffic will not appear in the proxy client’s session statistics, though it may appear in total system traffic.

  • ✅ After connecting, verify that the exit IP matches the selected route’s exit
  • ✅ Check that the DNS resolution path matches the client settings
  • ✅ Test the browser, meeting tools, cloud storage, and development commands separately
  • ✅ After changing rules, clear old connections and send new requests
  • ❌ Do not use the result from one webpage as a substitute for checking every application
  • ❌ Do not combine samples from rule mode and global mode

If total system traffic is much higher than client statistics, first check direct-connected apps and background updates. If client statistics are higher than expected, check whether global proxying is enabled, whether repeated reconnects are occurring, and whether cloud storage or media apps are continuously transferring data in the background. Identifying the cause before choosing a plan is usually more effective than simply increasing the allowance.

Make the final choice from historical data

After measuring, classify each cycle as steady use or intermittent use. Steady users should compare historical peaks with the 60GB and 250GB monthly allowances rather than looking only at the average. If peaks remain close to the current allowance, leave room for temporary meetings, updates, and retransmissions; if usage stays well below the allowance and many cycles are idle, reassess a non-expiring data plan.

Intermittent users should focus on “how long you go without connecting at all,” not only on how much data a particular task transferred. The value of a non-expiring data plan is that unused data remains available, making it suitable for needs that arise around projects, travel, or occasional access. A monthly subscription offers a clear cycle and allowance, making it suitable for people who connect continuously and want a predictable budget.

You can also decide in stages: first record data from your existing network tools or system statistics instead of relying on impressions; once you have a complete sample, compare the total with 74VPN’s plan allowances. 74VPN requires no email address for account creation; a username and password are enough. Plans support unlimited devices and include a 30-day no-questions-asked refund, but shared-device usage should still be combined.

Final conclusion: For light, intermittent use, consider a non-expiring data plan first; for regular streaming, sustained work, and stable multi-device use, compare monthly subscriptions first. Choose between 60GB and 250GB based on actual uploads, downloads, and retransmissions across all devices during a complete billing cycle. There is no universal answer—only usage records you can recalculate.