Unlimited Bandwidth Residential Proxies: How Unlimited Plans Work in 2026

Bottom line: unlimited residential proxies pay off when monthly volume exceeds the flat fee divided by your per-GB price. In practice that means headless-browser collection and hard anti-bot targets; compressed HTML scraping rarely reaches that line, and small API calls get cheaper on sticky sessions or per-IP plans.
- “Unlimited” never means no limit: the gigabyte counter is replaced by another cap.
- The collection method sets the bill: a full browser load of a home page used 111 times more data than a compressed HTML fetch.
- Per-GB plans carry hidden multipliers: missing compression, a new IP on every request and retries on hard targets.
- Before paying, test success rate, throughput, session uptime and the fair use rule on your own targets for at least 24 hours.
What Does “Unlimited” Mean in Residential Proxy Pricing?
In residential proxy pricing, unlimited means the gigabyte counter is gone, not the limit: the provider moves the cap to a resource it can control, such as concurrent threads, ports, throughput in Mbps, the number of IPs or rental time. The structure of that cap, not the word on the pricing page, decides what you can run.
Two terms are often mixed up. Unmetered counts no data at all, and you pay for capacity. Unlimited often means unmetered plus a fair use policy with a hidden threshold, after which the provider can throttle throughput or reduce concurrent sessions, so ask for the fair use number in writing before you pay.
Billing model | What is capped | What you pay for | Typical catch |
|---|---|---|---|
Per GB (metered residential proxies) | Data volume | Each GB transferred | Cost grows with page weight and retries |
Per thread | Concurrent requests | Number of threads | Slow targets waste paid capacity |
Per port | Simultaneous exit IPs | Ports, each with its own IP | IP quality varies from port to port |
Per Mbps | Throughput | Sustained bandwidth | Idle hours are still paid for |
Per IP | Number of fixed IPs | IPs per month | One identity per IP, no rotation |
Per hour or day | Time | An access window | Unused time is lost |
How We Measured Residential Proxy Costs
Every figure in this research comes from our own October 2026 measurements rather than marketing claims, except browser page weights, which are HTTP Archive Web Almanac 2025 medians. The technical setup had three parts, and each can be reproduced.
- Compression test: 205 real HTML pages saved by two open-source content-extraction test suites, each compressed with gzip, brotli and zstd at the levels web servers apply on the fly.
- Proxy test bench: a local HTTPS site with production-style headers and cookies, a gateway that accepts HTTP CONNECT and SOCKS5 with login and password, and a client with Chrome-style headers. The gateway counted every byte in both directions, which is what per-GB billing charges. We ran 72 scenarios of 30 fetches each: ECDSA and RSA certificate chains, TLS 1.2 and 1.3, both proxy protocols, three response sizes and three connection modes.
- Cost model: scenario prices of $1.5, $3 and $5 per GB against flat fees of $500, $1,000 and $2,000 a month. These are test values, not quotes from any provider.
One live check in Chrome measured a marketplace search results page. One limitation: the bench speaks HTTP/1.1, so header overhead on kept-alive connections is an upper bound.
How Much Does Compression Change the Cost of a Page?
Compression cuts the residential proxy bill for HTML about fivefold, because a proxy bills the traffic that crosses the wire. In our sample of real pages brotli shrank the median document from 125 KB to 21 KB.
Encoding | Median size | Median ratio | Ratio range (p10-p90) |
|---|---|---|---|
None (raw HTML) | 125.2 KB | 1.0× | n/a |
gzip, level 6 | 23.1 KB | 4.7× | 3.6-6.8× |
brotli, quality 5 | 21.0 KB | 5.3× | 3.8-8.4× |
brotli, quality 11 | 18.6 KB | 6.0× | 4.2-9.8× |
zstd, level 3 | 23.9 KB | 4.7× | 3.4-7.4× |
Brotli saved a further 9% over gzip on the median page. A live marketplace page arrived as 247 KB instead of 2,073 KB of decoded HTML, an 8.4× reduction.
Two best practices follow. Send Accept-Encoding: br, gzip on every request, and inspect the outgoing headers of your tool, because that is the only reliable check: in our checks curl sent no Accept-Encoding header unless run with --compressed, and Python requests added br only when a brotli package was installed.
How Many Pages Does 1 GB of Residential Bandwidth Cover?
One gigabyte of residential bandwidth covers about 43,500 compressed HTML pages but only 391-772 headless-browser page loads, so the collection method matters more than the page count. The table combines bench results for HTTP clients with HTTP Archive medians for full page loads.
Collection method | KB per page | Pages per GB | Cost per 1,000 pages at $3/GB |
|---|---|---|---|
HTML, brotli, one sticky session | 23 | 43,544 | $0.07 |
HTML, brotli, new IP per request | 26 | 38,219 | $0.08 |
HTML without compression, new IP each time | 130 | 7,671 | $0.39 |
Heavy marketplace listing, brotli, new IP | 252 | 3,961 | $0.76 |
Headless browser, images and fonts blocked | 1,296 | 772 | $3.89 |
Headless browser, full inner page | 1,769 | 565 | $5.31 |
Headless browser, full home page | 2,559 | 391 | $7.68 |
Dropping images and fonts trims only 27% of a median mobile inner page, because 660 KB of JavaScript still loads. The larger lever is calling the JSON endpoints a page uses instead of rendering the page.
How Much Does a New IP per Request Cost?
A new IP on every request adds 3.2-4.3 KB of billed data per request, which dominates the bill for small API responses and stays under 3% for heavy pages. Each time a residential proxy rotates the exit IP, the client opens a new tunnel through the gateway and a new TLS handshake with the target; the lower figure applies to an ECDSA certificate chain, the higher one to RSA.

size | New IP each time | New IP + TLS resumption | One sticky session |
|---|---|---|---|
2 KB API JSON | 72-76% | 63% | 49% |
21 KB compressed HTML | 20-23% | 14% | 8-9% |
247 KB listing page | 2-3% | 1.5% | 0.9% |
Values show the share of billed bytes that is overhead rather than payload. Three findings shape a rotation strategy:
- Small responses suffer most: when the payload is a few kilobytes, handshakes and headers make up most of the bill, so high-volume API polling should keep one session wherever the target allows it.
- TLS session resumption recovers part of the loss: it saved 1.8 KB per request with ECDSA and 2.9 KB with RSA while the IP still changed.
- Protocol choice is marginal: SOCKS5 used 275 bytes less than HTTP CONNECT per new tunnel, and TLS 1.2 versus 1.3 differed by about 460 bytes.
Proxys.io offers static residential proxies with unlimited bandwidth rented per IP for 1 to 12 months, so handshake overhead is never billed by the gigabyte. Rent them for account work and API polling that needs one stable identity.
When Do Unlimited Plans Pay Off?
For an unlimited plan, break-even GB equals the monthly fee divided by the per-GB price you would otherwise pay. At $1,000 a month and $3 per GB that is 333 GB: about 6,300 full browser loads a day, but 14.5 million HTML pages a month for a web scraping operation with an HTTP client, a volume few teams reach.

Monthly fee | Price per GB | Break-even GB | HTML pages | Browser loads, media blocked | Full browser loads |
|---|---|---|---|---|---|
$500 | $3 | 167 | 7.3 M | 129,000 | 94,000 |
$1,000 | $1.5 | 667 | 29.0 M | 514,000 | 377,000 |
$1,000 | $3 | 333 | 14.5 M | 257,000 | 188,000 |
$1,000 | $5 | 200 | 8.7 M | 154,000 | 113,000 |
$2,000 | $5 | 400 | 17.4 M | 309,000 | 226,000 |
Throughput-priced plans need a second check: whether the Mbps limit can carry the job. A 100 Mbps plan used at 60% of capacity moves a massive 19.4 TB a month, or about 28 million compressed HTML pages or 366,000 full browser loads per day; billed at $3 per GB, that traffic would cost about $58,000. At 30% average load the same plan carries half as much, so idle nights and weekends raise the effective price of each gigabyte.
How Do Retries Change the Cost of Per-GB Plans?
Retries can multiply a per-GB bill by up to 2.5 times on hard targets, because every failed attempt is billed traffic. The multiplier equals 1 + (1 - s) ÷ s × r, where s is the share of successful attempts and r is the size of a failed response relative to a full page.
Successful attempts | Failed response = 10% of page | 50% of page | 100% of page |
|---|---|---|---|
95% | ×1.01 | ×1.03 | ×1.05 |
80% | ×1.02 | ×1.12 | ×1.25 |
60% | ×1.07 | ×1.33 | ×1.67 |
40% | ×1.15 | ×1.75 | ×2.50 |
When rate limits reject an HTTP client, the reply is usually a short error page, so r stays near 0.1. In headless browsers a challenge page loads its own scripts, so r approaches 1 on sites with strict bot protection. Using unlimited plans on those targets is the ideal fit: failures then cost time, not money.
How to Test an Unlimited Bandwidth Residential Proxy Plan Before You Pay
A trial should prove the limits that replaced the gigabyte counter, not only that the proxy connects, so run it for at least 24 hours from your production server against real targets. This guide covers the six measurements that matter:
- Success rate and response time per target, split by country or city, at the concurrency you will scale to in production.
- Unique IP addresses per 10,000 fetches and the share that IP databases classify as residential, which says more than pool sizes in marketing copy; a small IP pool recycles addresses and raises ban rates.
- Sticky session uptime: how long a session keeps a consistent exit IP before the peer drops off.
- Throughput under full load: sustained Mbps at full concurrency, compared with the stated cap.
- Fair use behaviour: whether the provider will throttle, cut concurrent connections or bill overage after the threshold.
- Gateway location: where the entry server sits, because routing everything through one gateway on another continent adds latency to each fetch.
Ask for the exact limit values and the acceptable use policy before the trial ends. Unlimited proxies with terms that stay vague about the fair use threshold give no cost guarantee.
What Are the Risks of Cheap Unlimited Residential Proxies?
Unlimited residential access priced far below the cost of sourcing residential IP addresses often signals botnet-sourced exits, which get banned faster and can stop working overnight when the infrastructure behind them is seized. Legitimate networks pay for consent-based enrollment of home connections, while botnet-backed pools take them from compromised hardware.
2026 showed the scale of the problem. In January Google's Threat Intelligence Group disrupted one of the largest residential proxy networks; the network stood behind at least 13 proxy and VPN brands, and in a single week more than 550 threat groups used its IPs. In March the FBI issued a public service announcement on residential proxy networks, and in July Google and the FBI disrupted a second large network tied to a botnet of at least 2 million devices.
To buy safely, ask how IPs are sourced and whether end users consent, and treat an answer you cannot verify as a no. Requests through abused exits inherit their reputation, which affects every target you visit.
Which Billing Model Fits Which Workload?
Choose the billing model whose cap matches the bottleneck of the job: per GB for light HTML collection, unlimited bandwidth for browser automation, per IP for accounts and API polling. When the choice is between a fixed and a changing IP, our comparison of static vs rotating proxies goes deeper.
Workload | Best-fit model | Reason |
|---|---|---|
SEO rank tracking and SERP checks via HTTP client | Small compressed pages keep monthly GB low even with frequent checks | |
Price monitoring with a headless browser | Unlimited bandwidth, priced per Mbps or concurrency | Heavy pages and retries cross break-even at a few thousand loads a day |
Teams that manage many accounts or social media profiles | Per IP, static residential or ISP | Session stability per account matters more than volume |
API polling with small JSON responses | Per IP or long sticky sessions | Handshakes dominate billed bytes when the IP changes on every call |
Ad verification across many locations | Per GB, rotating with city targeting | Volume per location is low; geography is the requirement |
Mobile application checks on carrier networks | Targets that trust carrier IPs reject home broadband | |
Bulk jobs on sites without IP reputation checks | Residential trust adds cost without benefit |
Mixing models often costs less than one plan for everything: keep heavy browser jobs on a flat plan sized to their throughput and route occasional HTML checks through per-GB residential proxies, whose useful feature is that an idle month costs nothing.
For high-throughput jobs that can keep one IP per worker, order Proxys.io static ISP proxies: they are billed per IP for 30, 60 or 90 days rather than per GB, with HTTP(S), SOCKS5 and speeds up to 250 Mbps depending on network load.
FAQ About Unlimited Residential Proxies
How do I estimate my monthly GB before buying?
Send 1,000 typical page fetches through a trial proxy, read the billed bytes in the dashboard and multiply the average by your monthly page count and retry factor to project usage. Page weight differs between sites, so measure on your own URL list rather than on averages.
How many threads does a daily page volume need?
Concurrent connections needed ≈ pages per day × seconds per page ÷ 86,400. At 3 seconds per page, 1 million pages a day need about 35 connections, before retries.
Does HTTP/2 reduce billed proxy data?
Yes, on reused connections: HTTP/2 compresses repeated headers, which made up most of the 1.9 KB per-fetch overhead on our HTTP/1.1 sticky sessions. It does not remove the handshake cost of a new IP.
Is unlimited bandwidth the same as unlimited concurrency?
No. Unlimited bandwidth removes the data cap, unlimited concurrency removes the limit on simultaneous connections, and a plan rarely lifts both, so check which one the price covers.
Are unlimited residential proxies legal to use?
In most countries routing requests through a proxy is legal in itself. Legal risk comes from what you collect, such as personal data or content behind a login, and from IPs sourced without user consent.