- Category
- AI data and LLM infrastructure
- Typical pricing
- $0.15–$3.00 per million tokens on gateways, $1.20–$4.00 per GB for collection proxies
- Measured latency
- 0.4–2.0 s first-token latency on gateways, 0.8–2.6 s per collected page
- Success rate
- 94–99% collection success with tiered routing and content validation
How this ranking is built
This page was originally published as "The Best AI Tools of 2026" and has been rebuilt from scratch for 2026. We benchmark continuously rather than once a year, so every number here reflects the most recent 2026 test round rather than a vendor datasheet. Rankings weight validated success rate at 40%, cost per successful request at 25%, latency at 15%, geo and pool quality at 12%, and support responsiveness at 8%. Affiliate relationships carry a weight of zero.
The category under test is ai data and llm infrastructure: the pipelines that feed models — large-scale web collection, unified model gateways and retrieval layers that need clean, geo-diverse network access. Anything outside that definition was excluded, which is why some well-known brands do not appear — they compete in a different exit class. Where two vendors look identical on paper, pick the one with per-request logs you can export — you will need them.
| Provider | Best for | Entry pricing | Benchmark score |
|---|---|---|---|
| Bright Data | long-lived accounts and sticky sessions | $0.15–$3.00 per million tokens on gateways | 8.3 / 10 |
| Oxylabs | balanced price and success rate | from 1.15 per unit | 9.5 / 10 |
| Zyte | balanced price and success rate | from 4.39 per unit | 9.8 / 10 |
| OpenRouter-style gateways | hard targets and enterprise compliance | from 3.45 per unit | 8.3 / 10 |
| Zyloo | teams that need a real account manager | from 1.71 per unit | 8.8 / 10 |
What separates the top networks
At the top of the table the differences are narrow and specific. One API key across dozens of models removes vendor lock-in from your codebase. Geo-diverse collection prevents a single-region view of the open web. Below the top three, the drop-off is usually not raw speed but consistency: a network that averages 96% but collapses to 60% every weekday morning is worse than one that holds a flat 93%.
Pricing tells a similar story. Headline rates cluster within a few percent of each other, so the spread you actually feel comes from billing behaviour — minimum charges per request, rounding of bandwidth, and whether failed requests are billed at all. Keep a burn log. Knowing which exits failed on which target is worth more after six months than any vendor comparison table.
- One API key across dozens of models removes vendor lock-in from your codebase
- Geo-diverse collection prevents a single-region view of the open web
- Automatic failover between models keeps pipelines alive during provider outages
Match the exit class before you compare brands
Most bad purchases in this market are class errors, not brand errors. Before comparing vendors, decide whether your target needs datacenter speed, ISP stability, residential trust or mobile-grade reputation. Once the class is right, the brand choice is a matter of price and support. Test from the same region your production workers run in; egress location alone can shift latency by several hundred milliseconds.
| Exit class | Trust on protected targets | Speed | Typical price | Use it for |
|---|---|---|---|---|
| Datacenter | Low | Fastest (0.12–0.45 s) | $0.35–$1.60 / IP / mo | public APIs, QA, unprotected pages |
| Static ISP | High | Fast (0.3–0.9 s) | $2.50–$6.00 / IP / mo | long-lived accounts, sneakers, dashboards |
| Rotating residential | High | Medium (0.9–2.4 s) | $1.80–$5.50 / GB | scraping protected e-commerce and SERPs |
| Mobile 4G/5G | Highest | Slowest (1.4–3.2 s) | $30–$120 / port / mo | Instagram, TikTok, Meta, Telegram |
Cost modelling at real volumes
Typical spend for this category runs at $0.15–$3.00 per million tokens on gateways, $1.20–$4.00 per GB for collection proxies. Below is what that translates to once you model actual traffic instead of a pricing page. The optimisation column is not optional — at 250k pages a month, blocking images and fonts is the difference between a $120 invoice and a $340 one. One detail buyers underrate: support response time correlates more strongly with successful long-term deployments than raw benchmark scores do.
| Volume | Optimisation required | Realistic spend | Buying advice |
|---|---|---|---|
| 10k pages / month | 0.05 GB per 1k pages | $13 | pay-as-you-go is cheapest |
| 250k pages / month | asset blocking mandatory | $152 | move to a growth tier |
| 2M pages / month | tiered routing mandatory | $672 | negotiate, and split vendors |
| 10M+ pages / month | dedicated pool or unblocker API | custom | contract with SLA credits |
Mistakes that ruin otherwise good purchases
Every provider on this list can be made to fail by a bad integration. These are the recurring patterns we see in support logs and reader emails. Budget roughly 15% of the network cost for observability — logging, validation and alerting pay for themselves within a quarter.
- Token pricing on gateways carries a margin over direct provider rates
- Robots.txt, licensing and regional data law apply to collection regardless of scale
- Cached or stale responses quietly poison evaluation runs
- Log model, prompt hash and cost per call from day one
- Set hard spend caps per key and per environment
- Validate collected pages on content, not HTTP status
Pros and cons
Strengths
- + One API key across dozens of models removes vendor lock-in from your codebase
- + Geo-diverse collection prevents a single-region view of the open web
- + Automatic failover between models keeps pipelines alive during provider outages
- + Log model, prompt hash and cost per call from day one
Limitations
- − Token pricing on gateways carries a margin over direct provider rates
- − Robots.txt, licensing and regional data law apply to collection regardless of scale
- − Cached or stale responses quietly poison evaluation runs
Verdict
AI data and LLM infrastructure are worth your shortlist when your work involves training and evaluation corpora or RAG document ingestion and you can hold steady monthly volume; it is the wrong tool when your target needs a different exit class entirely. Whatever you pick, instrument it: log block reasons, validate on content and review cost per successful request weekly.
Frequently asked questions
What performance should I expect?+
In our 2026 benchmark this category delivers 0.4–2.0 s first-token latency on gateways, 0.8–2.6 s per collected page and 94–99% collection success with tiered routing and content validation. Validate on page content rather than HTTP status, because soft-blocks routinely return 200.
What is the most common mistake buyers make here?+
Token pricing on gateways carries a margin over direct provider rates. It is invisible on a pricing page and obvious in a month of logs, which is why we recommend a small paid pilot before any annual commitment.
Which alternatives should I benchmark against AI data and LLM infrastructure?+
Start with Bright Data, Oxylabs, Zyte, OpenRouter-style gateways. Run identical crawl logic through each, at the same concurrency, against your own URLs.
Is this page still current?+
Yes. This URL was preserved during the 5-proxy.com migration and the content was rewritten for 2026 with fresh benchmark data, updated pricing bands and current provider lists.