Decodo vs Webshare
Eleven of fourteen models named Decodo first on the direct prompt; zero named Webshare. Both were named by all fourteen models and Decodo carries 51 labels and Webshare 29, 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 modelsWebshare
Across every category in the November 2026 Edition, Decodo and Webshare were named in the same answer fifty-six times, of the 133 answers naming Decodo and the 67 naming Webshare. In those answers Webshare took the first choice seven times and Decodo twenty-eight.
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 Webshare first choice named as an alternative argued againstblank: not namedEach cell is one answer, Decodo on the left and Webshare on the right.The direct prompt
Decodo first, Webshare an alternative
11 of 14 modelsWebshare 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
Decodo49%#1 of 8Webshare11%#2 of 8Decodo57%#1 of 13Webshare13%#2 of 13Decodo0%#4 of 7Webshare0%#– 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 Webshare
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Entry-level (Webshare, Rayobyte, Evomi) if you need reliability for business-critical tasks.” Grok 4.20 · direct prompt · hard negative
“it generally looks more like a cost-conscious option than the best all-around business choice” GPT-5.4 mini · paraphrase prompt · soft negative
“Weaknesses: Lower success rates on anti-bot-protected sites, more detection risk” DeepSeek V4 Flash · comparative prompt · soft negative
“Cheapest general-purpose option: Webshare — very low entry pricing and good for small-scale or mixed workloads.” GPT-5.4 mini · budget prompt · first choice
“For most budget-conscious companies, Webshare is the best starting point (free to try)” DeepSeek V4 Flash · budget prompt · first choice
“Decodo and Webshare are the top choices for small businesses with limited budgets” Mistral Small · budget 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.