One of fourteen models named Oxylabs first on the direct prompt; one named Bright Data. Both were named by all fourteen models and Oxylabs carries 58 labels and Bright Data 55, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the proxy and web data providers page.
Across every category in the November 2026 Edition, Oxylabs and Bright Data were named in the same answer 159 times, of the 179 answers naming Oxylabs and the 166 naming Bright Data. In those answers Bright Data took the first choice thirty-one times and Oxylabs fourteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | ||||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B |
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid premium providers like Oxylabs and Bright Data unless you have a larger budget” Kimi K2 · budget prompt · hard negative
“Avoid for Budgets: Premium providers like Bright Data or Oxylabs” Grok 4.20 · budget prompt · hard negative
“Reddit sued them in October 2025, alleging involvement in unauthorized scraping of Reddit comments... treat this as a reason for careful legal and sourcing review” GPT-6 Luna · negative prompt · soft negative
“Safer Alternatives (For Reference) - Oxylabs: Ethically sourced through Honeygain partnership with informed consent” GLM 4.7 FlashX · negative prompt · first choice
“consider a single vendor that spans all three layers (Bright Data, Oxylabs) to simplify integration and compliance” GLM 4.7 FlashX · comparative prompt · first choice
“Oxylabs | Business-grade performance, strong infrastructure | 100M+ IPs | High-volume business scraping” Kimi K2 · comparative prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid for mid-market: Pure enterprise (Bright Data, NetNut) if budget is a concern” Grok 4.20 · direct prompt · hard negative
“Avoid premium providers like Oxylabs and Bright Data unless you have a larger budget” Kimi K2 · budget prompt · hard negative
“Avoid for Budgets: Premium providers like Bright Data or Oxylabs” Grok 4.20 · budget prompt · hard negative
“For enterprise or mission‑critical projects, consider a single vendor that spans all three layers (Bright Data, Oxylabs) to simplify integration and compliance.” GLM 4.7 FlashX · comparative prompt · first choice
“Bright Data (formerly Luminati) | Massive network, advanced features, extensive proxy types | 72M+ IPs | Large enterprises, complex data needs” Kimi K2 · comparative prompt · first choice
“Broad enterprise needs | Offers proxy networks as well as unblocking, browser, scraper API, SERP, and ready-made dataset products.” GPT-6 Luna · comparative prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.