Oxylabs vs DataImpulse
Two of fourteen models named Oxylabs first on the direct prompt; zero named DataImpulse. Oxylabs was named by fourteen of the fourteen models and DataImpulse by ten and Oxylabs carries 55 labels and DataImpulse 16, 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.
By framing
OxylabsFirst choices, of fourteen modelsDataImpulse
Across every category in the October 2026 Edition, Oxylabs and DataImpulse were named in the same answer twenty-three times, of the 160 answers naming Oxylabs and the 37 naming DataImpulse. In those answers DataImpulse took the first choice zero times and Oxylabs four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| 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 | | |
Oxylabs DataImpulse first choice named as an alternative argued againstblank: not namedEach cell is one answer, Oxylabs on the left and DataImpulse on the right.The direct prompt
Oxylabs first, DataImpulse not the choice
2 of 14 modelsDataImpulse was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
11 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Oxylabs42%#1 of 7DataImpulse0%#– of 7What the models said about Oxylabs
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 starting with enterprise-heavy plans like Oxylabs residential if budget is tight” GPT-5.4 mini · budget prompt · hard negative
“Avoid Enterprise-Only Providers (Bright Data, Oxylabs)” Kimi K2 · direct prompt · hard negative
“Users report frequent account blocks triggered by false positives... Frequently cited as being overpriced for smaller-scale projects” Qwen 3.7 Flash · negative prompt · soft negative
“Bright Data & Oxylabs: As above—hybrid leaders with scraping APIs, pre-built datasets (e.g., e-commerce prices), managed services.” Grok 4.1 Fast · comparative prompt · first choice
“Choose Bright Data or Oxylabs if you need an enterprise-grade platform with broad coverage and stronger managed-data options.” Perplexity Sonar · comparative prompt · first choice
“For most mid-market B2B operations, Oxylabs or Decodo tend to offer the best balance of reliability, support, and scalability” Claude Haiku 4.5 · direct prompt · first choice
What the models said about DataImpulse
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“DataImpulse – Best Overall Value (Pay-Per-GB, No Expiry)” GLM 4.7 FlashX · budget prompt · first choice
“DataImpulse's residential proxies start at $1 per GB, making them among the most affordable options on the market.” Llama 4 Maverick · budget prompt · alternative
“DataImpulse is one of the most cost-effective entry points on the market” Gemini 3.5 Flash · budget prompt · alternative
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.