DNSFilter vs NextDNS
Thirteen of fourteen models named DNSFilter first on the direct prompt; zero named NextDNS. DNSFilter was named by fourteen of the fourteen models and NextDNS by thirteen and DNSFilter carries 54 labels and NextDNS 27, 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 DNS filtering page.
By framing
DNSFilterFirst choices, of fourteen modelsNextDNS
Across every category in the October 2026 Edition, DNSFilter and NextDNS were named in the same answer forty-seven times, of the 173 answers naming DNSFilter and the 68 naming NextDNS. In those answers NextDNS took the first choice two times and DNSFilter twenty.
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 | | | | | |
DNSFilter NextDNS first choice named as an alternative argued againstblank: not namedEach cell is one answer, DNSFilter on the left and NextDNS on the right.The direct prompt
DNSFilter first, NextDNS not the choice
13 of 14 modelsNextDNS 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.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
DNSFilter51%#1 of 8NextDNS0%#7 of 8DNSFilter59%#1 of 9NextDNS2%#5 of 9DNSFilter26%#2 of 7NextDNS0%#– of 7What the models said about DNSFilter
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“powerful but come with cautionary notes” Kimi K2 · negative prompt · soft negative
“Highly regarded for its fast Anycast network, real-time AI-driven threat categorization, and very user-friendly interface. Highly suited for mid-sized companies.” Gemini 3.5 Flash · scale prompt · first choice
“Popular options for 500 users include DNSFilter (AI-focused, easy deploy) and Cisco Umbrella (enterprise-grade integrations).” Grok 4.1 Fast · scale prompt · first choice
“the strongest default choice is DNSFilter if your priority is straightforward DNS filtering with good mid-market fit” Perplexity Sonar · direct prompt · first choice
What the models said about NextDNS
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“NextDNS/AdGuard: Highly customizable (ads/trackers/parental), but free tiers have query limits” Grok 4.1 Fast · negative prompt · soft negative
“NextDNS's free plan should not be relied upon for critical filtering applications” Claude Haiku 4.5 · negative prompt · soft negative
“Browser Secure DNS Can Bypass NextDNS and Pi-hole: How to Check and Fix It” Mistral Small · negative prompt · soft negative
“NextDNS is usually the best value if you mainly want DNS filtering and easy policy control” GPT-5.4 mini · budget prompt · first choice
“NextDNS is often considered the most flexible option for tech-savvy users.” Qwen 3.7 Flash · comparative prompt · first choice
“NextDNS – best for privacy-focused users needing advanced DNS controls” Muse Glimmer 30B · 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.