SMP vs Smartproxy: Singapore mobile proxy comparison for 2026

This comparison is for engineers, media buyers, and QA teams who need Singapore IPs specifically, not just any SEA endpoint. If you’re evaluating proxy vendors for SG-targeted work (banking app testing, Shopee or Lazada seller tools, Grab merchant dashboards, regional ad verification, or SingPass-adjacent automation), the provider choice matters in ways generic proxy reviews don’t cover. The goal here is actual tradeoffs, not a feature checklist.

Smartproxy is a serious, well-funded proxy provider with a large global pool and a polished dashboard. SMP is a small, Singapore-focused operation running its own modems on Singtel and M1 SIMs in Singapore. Those are genuinely different things. The right choice depends almost entirely on what your traffic targets and what ASN your destination checks.

TL;DR table

where Smartproxy is genuinely better

For multi-country campaigns or scraping jobs that span a dozen geos in a single run, Smartproxy wins on pure coverage. Their residential pool spans most major markets. If you need US, UK, DE, and SG IPs under a single API and billing account, that convenience is real. SMP only does Singapore. That’s its entire focus.

Smartproxy also has a more mature self-serve dashboard with documented API endpoints, sub-user management, and integrations larger teams expect. If your proxy usage is one line item in a bigger enterprise procurement process and you need a vendor with formal invoicing, account managers, and documented SLAs, Smartproxy fits that procurement template better than a Singapore-only hardware shop.

For high-volume residential scraping where you’re cycling through hundreds of thousands of IPs and GB pricing is what matters, Smartproxy’s pool depth is an advantage. Tasks like broad SERP scraping, price monitoring across many markets, or large-scale public data collection don’t require carrier-pure SG IPs. Paying per-GB from a large pool is often cheaper for that kind of workload than paying for dedicated modem ports you may not saturate.

where SMP is genuinely better

SMP’s core claim is one that can be verified: every IP resolves to a real Singapore mobile carrier ASN. No pooling through a reseller network, no residential-labeled IP that traces back to a cloud host, no SEA-region approximation. When you connect through an SMP port, the ASN you present to your target is Singtel’s or M1’s, whichever carrier you picked at checkout. That’s the ASN a real Singapore phone user would show. For targets that check ASN membership as part of their fraud or geo-verification stack, this distinction matters in practice, not just in theory.

For tasks that require session stability without shared-pool noise, SMP’s per-modem port model gives you a lower concurrency-per-IP ratio than a large shared residential pool. When you hold a sticky session on a port, you’re not competing with other users on that IP. That reduces the fingerprint drift that comes from shared-pool rotation artifacts, which is relevant if you’re testing login flows, filling in multi-step forms, or doing anything where session continuity affects your test results.

Explicit carrier selection is something SMP supports and most residential providers can’t offer. If your target behaves differently for SingTel vs M1 users (and some financial and government apps do check carrier metadata), being able to lock to a specific carrier ASN for a test run is genuinely useful. You can read more about how proxy protocol choice interacts with session control in HTTP vs SOCKS5 mobile proxies.

the SG carrier IP question

Singapore has a specific set of web targets that run meaningful IP verification as part of their stack. SingPass, the national digital identity system, is the clearest example. Banking apps from DBS, OCBC, and UOB serve different content or enforce different authentication paths depending on whether the connecting IP looks like a local mobile user. Grab’s merchant and driver tools are geo-verified. Shopee SG and Lazada SG both have regional pricing and session logic tied to IP origin.

For all of these targets, “Singapore residential” is not the same as “Singapore mobile carrier.” Residential IP pools typically include home broadband connections that resolve to ISP ASNs structurally different from mobile carrier ASNs. Some residential pools also include cloud-hosted IPs that have been misclassified or labeled as residential by the pooling layer. Targets with mature fraud stacks check ASN type, not just geo. A Singapore IP that resolves to a datacenter range or a miscellaneous ISP block will fail verification on platforms that expect a mobile carrier origin.

Smartproxy’s SEA pool, to the extent it includes Singapore IPs, is sourced through a residential peer network. The exact ASN composition of that pool is not publicly documented, which is normal for residential providers, but it means you can’t guarantee carrier-pure Singapore mobile IPs for a given session. That’s not a knock on Smartproxy specifically. It’s how residential pools work structurally. They optimize for pool size and geo diversity, not for ASN purity within a single country.

SMP’s 100-plus modems are physical devices on Singapore mobile plans. The IP assignment comes from the carrier’s own DHCP infrastructure, exactly the same as a real phone user. There’s no intermediary pooling layer that could introduce ASN ambiguity. For the class of SG-specific targets described above, this structural difference is what determines whether your automation works or gets flagged. This is also why ethical mobile proxy use matters when working with real carrier-assigned IPs, since those IPs represent real carrier accounts with real ToS implications.

pricing math at three realistic volumes

Proxy pricing is hard to compare directly because the billing models are different. SMP bills per port per 30 days, each port with a fixed data allowance. Smartproxy bills per GB consumed. The right model depends on whether your bottleneck is concurrent connections or total data transferred.

Smartproxy pricing snapshot as of 2026-05-14. Verify current rates on smartproxy.com before making purchasing decisions.

~10 GB/month (light usage, testing or low-frequency monitoring)

Smartproxy’s residential plans start around $14 for small bundles, though the per-GB rate at low volumes is higher. Expect to pay roughly $8-14/GB at the low end. For 10 GB that’s approximately $80-140/month depending on plan tier.

SMP at this volume: one port covers it. The $40 port includes 200 GB per 30 days, so 10 GB uses a small slice of it, and if you only need occasional checks a single day is $4. For testing workflows that don’t need high concurrency, one port is often enough.

At this tier, on these figures SMP’s $40 port costs less than Smartproxy’s $80-140, but the billing model is different. Smartproxy’s GB model is friendlier if your usage is genuinely low and unpredictable. SMP’s per-port model makes more sense if you have a consistent, recurring need for SG carrier IPs.

~100 GB/month (active scraping or ongoing monitoring)

Smartproxy’s mid-tier residential plans bring the per-GB rate down meaningfully, often to $4-8/GB depending on the plan. 100 GB/month runs approximately $400-800/month.

SMP at this volume: still one $40 port, since 100 GB fits inside its 200 GB. Against $400-800 on Smartproxy that is a wide gap. You only add ports, at the same per-port price, if you need more concurrent SG carrier sessions.

~500 GB/month (high-volume production)

Smartproxy’s high-volume plans can bring per-GB cost to the $2-4/GB range, making 500 GB approximately $1000-2000/month. For pure data volume spread across many IPs and geos, this is where Smartproxy’s pool depth pays off.

SMP at this volume: one 500 GB port is $50, or one 1 TB port is $85 if you want headroom. If your workload requires many concurrent SG carrier sessions, SMP scales via additional ports at the same per-port price, and 10 or more lines are $36 each. The right answer depends on concurrency requirements, not just GB totals.

The honest summary: for global high-volume scraping billed by data, Smartproxy’s model is well-suited. For SG-specific work where you need verified carrier ASN and concurrency-per-IP control, SMP’s port model matches the workflow better, and from 10 GB up it is also the cheaper option on these figures.

migration: if you’re switching from Smartproxy to SMP

If you’ve been running SG-targeted work on Smartproxy and want to A/B test SMP before a full switch, this is a reasonable approach.

1. start a free trial port on SMP (24 hours, 10 GB, no card) and confirm the ASN resolves to your target carrier using a tool like ipinfo.io or ipapi.co before writing any integration code.

2. update your credential format. Smartproxy uses user:password@host:port in most setups. SMP uses ip:port:username:password. Both are standard, but the field ordering is different and some HTTP client libraries handle it differently.

3. remap your sticky session logic. Smartproxy’s sticky sessions are maintained via session IDs appended to the username string. SMP’s sticky sessions are handled at the port level. If you’re rotating on a schedule, recalibrate your rotation interval against your target’s session timeout, not against Smartproxy’s defaults.

4. recalibrate rate limits. A large residential pool absorbs traffic across many IPs. SMP ports are individual IPs, so your per-IP request rate matters more. Reduce concurrency per port compared to what you were running against a pooled endpoint.

5. A/B test before full cutover. Route a percentage of your SG-targeted traffic through SMP ports for 48-72 hours, compare success rates and block rates against your Smartproxy baseline, then make the call.

Example credential update for a Python requests-based client:

# Smartproxy format (user:pass@host:port)
smartproxy_proxies = {
    "http": "http://user:password@gate.smartproxy.com:10001",
    "https": "http://user:password@gate.smartproxy.com:10001",
}

# SMP format (ip:port:user:pass, reconstructed for requests)
SMP_HOST = "203.0.113.45"   # your assigned SMP port IP
SMP_PORT = 10001             # your assigned SMP port number
SMP_USER = "your_smp_user"
SMP_PASS = "your_smp_pass"

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

# drop-in swap: replace smartproxy_proxies with smp_proxies in your session
import requests
session = requests.Session()
session.proxies.update(smp_proxies)
response = session.get("https://your-sg-target.com")

The credential field order is the main gotcha. Once that’s updated, the rest of your request logic doesn’t need to change.

bottom line

Smartproxy is the right call for global residential coverage, high-volume data scraping across multiple geos, and teams that need a fully documented, enterprise-ready proxy platform with broad language and tooling support. If Singapore is one of many countries in your workflow and you don’t have strict requirements around carrier ASN, Smartproxy’s pool depth and per-GB pricing model will serve you well.

For work that specifically targets Singapore carrier-verified platforms, SMP’s position is straightforward: it’s the only provider operating its own modem hardware in Singapore on real Singtel and M1 connections. That’s not a marketing claim, it’s a structural fact about how the IPs are sourced. If your target checks ASN, if your test requires session stability without shared-pool noise, or if you need to lock to a specific SG carrier for reproducible results, SMP is the right tool for that job. See the Singapore Mobile Proxy plans page for current port availability and pricing, and check the guide to HTTP vs SOCKS5 mobile proxies if you’re deciding which protocol to run on your SMP ports.