Proxy Pricing Guide 2026: Models, Fair Ranges & How to Compare | DataImpulse

Proxy pricing is confusing on purpose. One provider charges per gigabyte, another per IP per month, a third per 1,000 successful requests, and a fourth bundles it into a subscription — so the same workload can look 10× cheaper or more expensive depending on which unit you read. This guide explains how proxy pricing actually works in 2026: the pricing models, what drives the price, the fair ranges by proxy type, the hidden costs, and how to estimate your real monthly bill. The goal is simple — to compare providers on cost per successful request, not on whichever number looks smallest in the ad.

I’m Andrii Byzov, an AI-Native Fractional CMO who buys proxies at scale. Below: a vendor-neutral breakdown of the models and ranges, using DataImpulse’s transparent $1/GB as a reference point where it helps.

The Proxy Pricing Models, Explained

Per-GB (bandwidth)

The most common model for residential, datacenter, and mobile proxies: you pay for the data you transfer, regardless of how many IPs you touch. It’s ideal for scraping, where a single page is a small fraction of a GB, so high request volumes stay cheap. Prices range from ~$1/GB (value leaders like DataImpulse) to $5-8/GB (enterprise). Watch whether traffic expires monthly — non-expiring GB is meaningfully cheaper in practice.

Per-IP per month

Used for ISP/static residential and dedicated datacenter proxies, where you rent specific IPs for a month with (often) unlimited bandwidth. Priced ~$1.50-5/IP/month for ISP, less for datacenter. This wins when you need a few stable IPs with heavy bandwidth each (account management, long sessions); it’s wasteful if you need many IPs but little data each.

Per-request / per-1,000 results (managed APIs)

Managed scraper APIs, web unlockers, and SERP APIs charge per successful request — typically $0.30-12 per 1,000 depending on target difficulty and whether parsing is included. You pay more per record, but the provider handles proxies, rotation, browser rendering, and anti-bot. It’s the convenience tier: less engineering, higher unit cost.

Subscription vs pay-as-you-go

Most models come as either a monthly subscription (commit to a volume, often with expiry) or pay-as-you-go (buy credit, draw it down). Subscriptions can be cheaper per unit if you reliably use the full allowance; PAYG with non-expiring traffic is cheaper for uneven or experimental workloads because nothing is wasted.

How to Compare Prices Across Different Units

The core trap: a $/GB price and a $/1,000-requests price cannot be compared directly — they measure different things, which is why a fair chart shows them on separate axes. To compare honestly, convert everything to cost per successful request for your specific workload:

• For per-GB proxies: estimate average page size (often 0.1-2 MB), multiply by your request volume to get GB, multiply by $/GB. A 500 KB page at $1/GB ≈ $0.0005 per request — about $0.50 per 1,000.
• For managed APIs: the per-1,000 price already is your cost per 1,000 requests — and you add nothing for engineering, since rendering and anti-bot are included.
• Factor success rate: divide by the share of requests that succeed. A pool at 99% success costs far less per usable record than one at 60%, even at the same sticker.

Once everything is in cost-per-successful-request, the comparison is apples-to-apples — and raw per-GB residential almost always wins for high-volume in-house scraping, while managed APIs win for low-volume or no-engineering work.

Fair Proxy Price Ranges in 2026

What Drives Proxy Pricing?

Why one provider charges $1/GB and another $8 comes down to a few factors:

• IP sourcing and pool size. Ethically sourced, first-party residential pools cost more to build than resold ones; bigger, healthier pools justify (and sometimes lower) the price.
• Success rate and infrastructure. Higher success rates, faster routing, and better anti-block handling raise quality — and the price you’d pay per usable request often falls even if the sticker rises.
• Proxy type. Mobile carrier IPs are scarce and trusted, so they cost most; datacenter is abundant and cheapest; residential sits between.
• Geo and targeting. Country targeting is usually included; city, ZIP, or ASN targeting is often a paid add-on.
• Support and compliance. 24/7 human support, SLAs, and audit-ready compliance documentation are baked into enterprise pricing.

Hidden Costs That Inflate the Real Price

• Expiring traffic — unused GB voided monthly means you overbuy; non-expiring traffic is cheaper in practice.
• Per-IP bandwidth caps on static/ISP deals that quietly raise the effective rate.
• Low success rates — every blocked request is paid-for waste; this is the biggest hidden cost.
• Add-on fees for city/ASN targeting, premium endpoints, or dedicated IPs.
• Overage rates that spike once you exceed a plan’s allowance.

How to Estimate Your Monthly Proxy Cost

A quick, honest estimate for a per-GB plan:

1. Requests per month. Say you scrape 1,000,000 pages/month.
2. Average page size. Most scraped HTML pages are 0.2-1 MB; assume 0.5 MB.
3. Total data. 1,000,000 × 0.5 MB = 500 GB.
4. Multiply by $/GB. At $1/GB that’s ~$500/month; at $5/GB it’s ~$2,500.
5. Adjust for success rate. If 95% succeed, divide by 0.95 → ~$526 for a million usable pages.

Two notes: rendering a page in a headless browser pulls more data (images, scripts) than fetching raw HTML, so budget more if you use Playwright/Puppeteer; and a managed API at, say, $2/1,000 would cost ~$2,000 for the same million requests — more per record, but no engineering or anti-bot work. Run the math both ways for your workload before committing.

Is Cheaper Always Better?

No — the right metric is cost per successful request, not the lowest sticker. A $0.50/GB pool that gets blocked half the time is more expensive per usable record than a clean $1/GB pool, and a cheap subscription you can’t fully use costs more per GB than transparent pay-as-you-go. Pick the lowest price that still delivers a high success rate on your targets, then measure the real cost on a small test before scaling.

DataImpulse Pricing — A Transparent Reference

As a concrete example of the per-GB pay-as-you-go model: DataImpulse prices residential at $1/GB, datacenter at $0.50/GB, and mobile at $2/GB, with traffic that never expires and no subscription required — so the bill equals exactly what you use. Country targeting is included; city/ZIP/ASN is a paid add-on. It supports HTTP/HTTPS and SOCKS5, rotating and sticky sessions, across a 90M+ IP pool in 195 countries, with a published 99.51% success rate. Start with the $5 / 5GB intro to measure your own cost per successful request before scaling — see the residential and datacenter pricing pages.