SMP vs Oxylabs: Singapore mobile proxy comparison for 2026

This comparison is written for a specific kind of reader: someone with a geographic requirement, Singapore IPs, or Southeast Asia workflows that depend on appearing as a local mobile user. if you are evaluating proxy vendors for global web scraping at scale, or you need 50+ countries covered under one contract, this article will still be useful, but the conclusion will not necessarily favor either provider here. the honest answer in that case is that Oxylabs probably fits better. if your requirement is tighter, if you are testing SingPass authentication, verifying ad placements on Grab or Shopee SG, or building anything that needs a genuine SG carrier IP, read through. the distinction between “SG IP” and “SG mobile carrier IP from SG hardware” matters more than most vendor comparison articles acknowledge.

TL;DR table

where Oxylabs is genuinely better

Oxylabs has one of the largest residential proxy pools in the industry. 195+ countries covered. if your work requires IP diversity across many geographies simultaneously, say running ad verification across the US, Germany, Brazil, and Japan in the same pipeline, Oxylabs is the operationally simpler choice. you will not be stitching together multiple regional vendors to cover your geos.

the enterprise support tier is a real advantage for larger organizations. dedicated account managers, SLA-backed uptime commitments, and procurement-friendly contracts (invoicing, MSAs, volume pricing) mean Oxylabs fits into a formal vendor management process more easily than a smaller specialized provider. if your organization needs a vendor who can attend a security review or sign a DPA on short notice, that is a realistic expectation with Oxylabs.

Oxylabs also offers purpose-built scraping APIs, their Web Unblocker product being the main one, that sit on top of the proxy network and handle JS rendering, CAPTCHA management, and retry logic. if you want a managed extraction layer rather than raw proxy access, that product category is outside what SMP offers. SMP is a raw proxy provider. that suits teams who control their own scraper infrastructure, but it is not the right fit if you want a turnkey data delivery pipeline.

where SMP is genuinely better

SMP operates its own hardware in Singapore. over 100 physical modems, each running a real SIM card from SingTel, StarHub, M1, or Vivifi, the four main Singapore mobile carriers. this is not a pool of residential IPs sourced through peer devices or reseller agreements. every IP that SMP issues resolves to a real Singapore mobile carrier ASN, because the request literally goes out over a SIM card in a rack in Singapore. for use cases where this distinction matters, no amount of pool size at a competitor compensates for it.

sticky session behavior on SMP is tied to a physical modem port. when you request a sticky session, you get the same modem’s IP for the duration of that session, which means the same device fingerprint characteristics: the same carrier, the same cell tower neighborhood, the same ASN. that is meaningfully different from a sticky session on a large residential pool, where “same IP” means same exit node but the underlying network characteristics (PTR record behavior, ASN routing, latency profile) can drift between sessions as the pool recycles. for workflows sensitive to fingerprint consistency across multiple requests, account warm-up sequences or mobile banking session testing, port-level stickiness on real hardware is a more predictable foundation.

SMP also supports both HTTP and SOCKS5 endpoints. that matters if your tooling is protocol-specific. a lot of mobile automation pipelines prefer SOCKS5 for lower protocol overhead, and having both available without a tier upgrade is a practical convenience. the HTTP vs SOCKS5 mobile proxies breakdown covers the technical tradeoffs if you need to pick between them for a specific use case.

the SG carrier IP question

Singapore has a relatively unusual network environment for a small country. the major platforms that matter for SG-specific work, SingPass (the national digital identity system), DBS/OCBC/UOB internet banking, Shopee SG, Lazada SG, Grab’s merchant-facing tools, and most government-facing APIs, have varying degrees of IP quality enforcement. this is not just IP geolocation. it is ASN classification. a request from a Singapore residential ISP IP and a request from a Singapore mobile carrier IP arrive with different network signatures, and fraud systems and access controls treat them differently.

ASN purity means that when you look up the IP in a database like MaxMind or IP2Location, the result is a clean Singapore mobile carrier ASN, with no intermediate hosting provider or proxy network in the chain. when you get a SG IP from a large pooled residential provider, the IP’s ASN history and registration may show residential ISP, mobile carrier, or ambiguous multi-ASN entries depending on what peers contributed that IP to the pool. this is not a criticism of pooled providers. it is how large pools work at scale. for access control contexts that do ASN-level filtering, the difference between “IP that resolves to SingTel ASN” and “IP that resolves to an APAC residential pool with SG geolocation” is operationally significant.

a concrete example: Grab’s merchant portal and some DBS business banking flows perform device and network fingerprint checks that go beyond IP geolocation. these checks are easier to pass with a genuine SG mobile carrier IP because the request characteristics (ASN, TTL, PTR behavior) match what a real SG mobile device would produce. this is not a guarantee that SMP IPs will pass every check, but it is why teams doing this kind of testing prefer carrier-native IPs over pooled residential.

Oxylabs’s APAC pool does cover Singapore. what it does not publicly guarantee is that a given Singapore IP came from a real SG mobile carrier SIM, or that the ASN on that IP is a clean SingTel/StarHub/M1/Vivifi entry. for global scraping and ad intelligence work where you need “appears to be in Singapore,” that is probably fine. for work where you need “appears to be a Singaporean on their phone using StarHub,” the structure is different. this is not a knock on Oxylabs. it reflects a different product design for a different primary use case. understanding what a mobile proxy actually is at the hardware level helps clarify why these two product categories behave differently even when the output looks similar in a curl request.

pricing math at three realistic volumes

Pricing at this level varies by negotiation, volume, and contract term, so treat these numbers as directional estimates only. verify current pricing on each provider’s site before making a decision.

Oxylabs pricing snapshot as of 2026-05-14, verify at oxylabs.io before using for planning:

Oxylabs residential proxy pricing is per-GB consumed. at public list rates, residential bandwidth runs approximately $8 to $12 per GB at lower tiers, with meaningful discounts at enterprise volume. exact pricing requires a sales conversation for most organizations above small-scale usage.

a few things to note about these estimates. SMP’s pricing is port and time-based rather than per-GB, which means predictable monthly costs if you have consistent usage patterns. if you run 24/7 traffic through a fixed number of ports, you know your bill in advance. Oxylabs’s per-GB model is more flexible for variable workloads but can produce unexpected bills if a scraper misbehaves or retry logic runs wild. conversely, if your actual data consumption is low relative to your session count, per-GB pricing is cheaper. the break-even point depends heavily on your actual payload sizes per request.

headline pricing for Oxylabs rarely reflects what a real enterprise customer pays. volume discounts, annual commitments, and bundling with their other products (datacenter proxies, SERP API) can bring per-GB costs down significantly. for accurate budget modeling, get a formal quote. the same applies to SMP for multi-port setups.

migration: if you’re switching from Oxylabs to SMP

if you are moving traffic from Oxylabs to SMP, the main changes are credential format and session handling. Oxylabs uses a username/password gateway format where rotation and session parameters are passed as username suffixes. SMP uses a direct ip:port:username:password format pointing to a specific endpoint.

1. get your SMP credentials from the dashboard. you will receive an endpoint IP, port, username, and password for each port (or a rotating endpoint, depending on your plan).
2. update your proxy configuration to the ip:port:user:pass format. most HTTP clients, scrapy, playwright, puppeteer, and curl, accept this format natively.
3. remap session stickiness logic. if you were using Oxylabs session IDs to maintain sticky sessions (e.g., username-session-abc123), replace that with SMP’s sticky endpoint, which is a dedicated port that holds the same modem. no suffix needed, the stickiness is at the port level.
4. recalibrate rate limits. SMP ports are single-modem, not pooled. if you were sending 50 concurrent requests through an Oxylabs session expecting load balancing across a pool, that does not translate directly. for high concurrency, spread across multiple SMP ports rather than hammering one.
5. A/B test before full cutover. route 10-20% of your traffic to SMP endpoints for a week, compare success rates, latency, and block rates against your Oxylabs baseline, then cut over once you have confidence in the numbers.

here is a minimal Python example showing the credential format change:

import requests

# before: Oxylabs gateway format
OXYLABS_PROXY = {
    "http": "http://user_sessionid-abc123:password@pr.oxylabs.io:7777",
    "https": "http://user_sessionid-abc123:password@pr.oxylabs.io:7777",
}

# after: SMP direct format (sticky port)
SMP_HOST = "sg-sticky-01.singaporemobileproxy.com"
SMP_PORT = 10001
SMP_USER = "your_username"
SMP_PASS = "your_password"

SMP_PROXY = {
    "http": f"http://{SMP_USER}:{SMP_PASS}@{SMP_HOST}:{SMP_PORT}",
    "https": f"http://{SMP_USER}:{SMP_PASS}@{SMP_HOST}:{SMP_PORT}",
}

response = requests.get("https://ipinfo.io/json", proxies=SMP_PROXY, timeout=15)
print(response.json())
# expect: org field showing SingTel/StarHub/M1/Vivifi, country: SG

one thing to check after migration: run an IP lookup on the exit IP and confirm the ASN field matches a SG carrier. if it does not, contact SMP support. it may indicate a configuration issue with the port assignment. this verification step is worth scripting into your test suite as a health check.

bottom line

Oxylabs is a well-built product for what it is designed to do. if you need global residential coverage, a managed extraction layer, enterprise procurement support, or high-volume bandwidth at negotiated per-GB rates, it is a legitimate first choice and you are not making a mistake by using it. for many teams doing SEA market intelligence work where Singapore is just one of several geos, Oxylabs’s pooled APAC coverage is entirely adequate. the ethical mobile proxy use considerations apply equally to both providers, and Oxylabs has published acceptable use policies worth reading before signing a contract.

for work that specifically requires real SG carrier IPs, SMP is the more precise tool. the SG hardware exists, the SIM cards are in Singapore, and every IP resolves to a genuine SG mobile carrier ASN. this is not a marketing claim. it is a description of the physical infrastructure. if your workflow involves SingPass, Singapore banking apps, Grab or Shopee SG merchant flows, or any access control system that performs ASN-level validation on SG mobile carrier ranges, that infrastructure specificity is directly relevant to whether your proxy traffic will behave like a real SG mobile user. for those use cases, no APAC pooling arrangement substitutes for the real thing. see Singapore Mobile Proxy plans for current port availability and pricing.