Decodo vs IPRoyal
Eleven of fourteen models named Decodo first on the direct prompt; zero named IPRoyal. Decodo was named by fourteen of the fourteen models and IPRoyal by thirteen and Decodo carries 51 labels and IPRoyal 37, 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
DecodoFirst choices, of fourteen modelsIPRoyal
Across every category in the November 2026 Edition, Decodo and IPRoyal were named in the same answer seventy-six times, of the 133 answers naming Decodo and the 103 naming IPRoyal. In those answers IPRoyal took the first choice five times and Decodo forty-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 4.20 | | | | | ||
| 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 | | | | |
Decodo IPRoyal first choice named as an alternative argued againstblank: not namedEach cell is one answer, Decodo on the left and IPRoyal on the right.The direct prompt
Decodo first, IPRoyal an alternative
11 of 14 modelsIPRoyal was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
Decodo0%#4 of 7IPRoyal0%#7 of 7What the models said about Decodo
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“For most small businesses, Decodo offers the best overall value due to its reliable network, transparent pricing, and strong feature set.” Qwen 3.7 Flash · budget prompt · first choice
“Decodo is the top recommendation due to its balance of ethical sourcing, extensive IP pool, granular targeting, and competitive pricing.” Mistral Small · paraphrase prompt · first choice
“my default recommendation would be Decodo (formerly Smartproxy) if you want the best balance of price, performance, and ease of use” GPT-5.4 mini · paraphrase prompt · first choice
What the models said about IPRoyal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Removed from some recommendation lists due to concerns about fake reviews and transparency issues.” Mistral Small · negative prompt · hard negative
“Why Caution is Advised: If you require strict vendor audits or clear documentation of their practices for compliance (GDPR/SOC2), this lack of transparency makes them a poor fit.” Qwen 3.7 Flash · negative prompt · soft negative
“Caution. ... the proxy quality is poor—causing account bans” DeepSeek V4 Flash · negative prompt · soft negative
“MarsProxies or IPRoyal offer the best balance of price, features, and reliability” MiniMax M2.5 · budget prompt · first choice
“IPRoyal (strong reviews, ethical sourcing, good value at ~$1.75–$7/GB)” Grok 4.20 · negative prompt · first choice
“Frequently top-rated for value; large global pool, hands-on support, and flexible pricing” Grok 4.20 · comparative 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.