A residential proxy exits through an IP that a consumer internet provider assigned to a household; a datacenter proxy exits through an IP that belongs to a hosting company. That one fact, which any website can look up in a millisecond, explains every other difference: speed, price, and how often you get blocked. Which one to buy is decided by the target, not by the proxy, and there is a 100-request test that answers it before you spend anything.
The difference is the ASN, not the speed
Every IP address belongs to an autonomous system, and every autonomous system has a public type: a consumer ISP, a mobile carrier, a hosting or cloud provider, a business network. IP intelligence databases, the ones behind every WAF and bot-management product, resolve an address to its ASN and its type before they read a single header. A datacenter IP is labelled hosting, which is not a sin in itself but is where nearly all automated traffic comes from, so the label lowers the trust score. A residential IP is labelled ISP, which is where humans come from, so the same request scores higher.
Two things follow that vendor comparison pages tend to skip. First, the label is per ASN, so the reputation of a datacenter range is shared with every other tenant of that range: one abusive neighbour and the subnet is on a list. Second, the label does not change what the request looks like. A residential exit with a Python TLS fingerprint and a library user agent is still a bot to Cloudflare or DataDome; it is just a bot from a nicer neighbourhood. If your requests are failing on fingerprint grounds, the 403 guide matters more than the IP type.
Side by side
| Datacenter | Residential | |
|---|---|---|
| IP source | Hosting and cloud ranges | Consumer ISP ranges, real devices |
| How the target sees it | ASN type “hosting” | ASN type “ISP” |
| Detection risk on protected sites | High: often blocked on the first request | Low: judged on behaviour and fingerprint instead |
| Speed | Fastest; under 200 ms to first byte is normal | Home connections; 300 to 1,500 ms and variable |
| Stability of the IP | Static, dedicated IPs available | Rotating by default; sticky sessions to 120 minutes |
| Geo granularity | Country, limited by where the datacenters are | Country, state, city, ISP or ASN |
| Pricing model | Per GB, from $0.50/GB, or per dedicated IP | Per GB, from $0.80/GB Basic and $2.20/GB Premium |
| Best for | Own APIs, public data sets, sites without bot management, high-volume static targets | Commerce, travel, search, social, ad verification, anything geo-specific |
Price is the row people read first and the one that misleads most. The gap between $0.50 and $0.80 per gigabyte is small; the gap between a 95 percent and a 40 percent success rate is not, and it shows up in the cost per successful page, below.
Run this test before you buy
Do not pick from a table. Send 100 requests to your real target through each type, with the same headers and the same pacing, and count three things: status codes, body length, and time to first byte. The datacenter and residential plans both offer a trial for exactly this.
# same target, same headers, two exits; run each 100 times and tally
for i in $(seq 1 100); do
curl -sS -o body.html -w "%{http_code} %{size_download} %{time_starttransfer}\n" \
-H @browser-headers.txt -x "$PROXY" -U "$AUTH" "$URL"
done | sort | uniq -cRead the tally like this. If datacenter gives you mostly 200s with the expected body length, buy datacenter and keep the difference. If datacenter gives you 403s, challenges or 200s with a tiny body while residential gives you full pages, the target checks the ASN and residential is the price of entry. If both fail, the target is looking at something the IP cannot fix, usually the TLS fingerprint or a JavaScript challenge, and the answer is a browser-grade client or a rendering tier, not a more expensive IP.
For calibration: in a run on 3 September 2026 with US residential exits and a Chrome TLS profile, a plain HTTP client got full HTML from 11 of 16 major commercial and content sites on the first attempt. The five refusals were all fingerprint or challenge based; none of them would have been fixed by paying more for the IP.
When datacenter is the right buy
- The target does not look at ASN type. Government and public data portals, documentation sites, most B2B catalogues, your own APIs, and anything that returns 200 in the test above.
- Volume and speed dominate. Millions of small pages where a few hundred milliseconds per request is the whole budget.
- You need a fixed IP. Allowlisting yourself on a partner system, or running a long session where the IP must not change.
- The data is fetched from an API you are entitled to use but that rate-limits per IP; here the concurrency math matters and the IP type does not.
When residential is the right buy
- Commerce, travel, search and social. These targets score ASN type on every request, and the test above will show datacenter losing on the first page.
- Anything geo-specific. Localised prices, ads, search results and availability require an exit that is genuinely in the country, state or city, which is where residential targeting reaches and datacenter does not.
- Multi-step flows. A search, a click, a detail page, a cart: sticky sessions keep the same household IP for the whole flow, and the target sees one person.
- Verification work. Seeing what a real user in a real place sees, for ad or content verification, is by definition a residential job.
The third and fourth answers: ISP and mobile
An ISP proxy, sometimes sold as a static residential proxy, is an IP registered under a consumer ISP's ASN but hosted in a datacenter. The target's lookup says ISP; the latency says datacenter; the IP never changes. It is the right buy when you need residential trust and a fixed address, such as managing accounts or holding a long session, and it is priced per IP, from $2.50 a month at volume, with unlimited bandwidth per IP. A mobile proxy exits through a carrier's ASN, which is the most trusted label of all because carriers put thousands of real people behind one address, so blocking it is expensive for the site. It is the answer for targets that fail even residential, priced from $2.30/GB.
A practical ladder: start with datacenter, move to residential when the test says the ASN is checked, move to ISP when you also need a fixed IP, and reserve mobile for targets where residential still fails. Moving up the ladder without the test is how budgets disappear.
Cost per successful page, not cost per gigabyte
The number that should drive the decision is bandwidth cost divided by success rate, plus the cost of the failures themselves. Take 100,000 pages at 100 KB on the wire, which is 11 GB with overhead:
| Datacenter at $0.50/GB, 45% success | Residential at $0.80/GB, 95% success | |
|---|---|---|
| Bandwidth for 100,000 attempts | $5.50 | $8.80 |
| Successful pages | 45,000 | 95,000 |
| Attempts needed for 100,000 successes | ≈ 222,000, if retries help at all | ≈ 105,000 |
| Cost for 100,000 successful pages | ≈ $12.20, plus the risk of a burned range | ≈ $9.25 |
With a target that checks the ASN, the “cheaper” proxy costs more per delivered page and takes twice as long. With a target that does not, datacenter wins outright and the residential line is simply wasted money. That is why the 100-request test is the whole decision, and why the bandwidth arithmetic in how much proxy data do I need should be done after it, with the success rate you actually measured.