Zero of fourteen models named Palo Alto Networks NGFW first on the direct prompt; zero named Cisco Secure Firewall. Both were named by all fourteen models and Palo Alto Networks NGFW carries 44 labels and Cisco Secure Firewall 40, 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 next-generation firewalls page.
Across every category in the October 2026 Edition, Palo Alto Networks NGFW and Cisco Secure Firewall were named in the same answer seventy-nine times, of the 131 answers naming Palo Alto Networks NGFW and the 107 naming Cisco Secure Firewall. In those answers Cisco Secure Firewall took the first choice zero times and Palo Alto Networks NGFW thirty-one.
| 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 |
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.
“Palo Alto Networks failed both network and transport-layer categories” Muse Glimmer 30B · negative prompt · hard negative
“Top-tier app control and Recommended ratings, but cons include high costs ("often most expensive per Mbps"), subscription stacking inflating TCO, and steep learning curve.” Grok 4.1 Fast · negative prompt · soft negative
“Palo Alto Networks, Fortinet, Cisco Secure Firewall/ASA, and Check Point all appear repeatedly in vulnerability lists and active exploitation coverage” GPT-5.4 mini · negative prompt · soft negative
“Palo Alto Networks is widely considered the gold standard for enterprise-grade threat prevention and deep application visibility.” Gemini 3.5 Flash · comparative prompt · first choice
“Strongest reputation for advanced threat prevention... deepest security capabilities and strongest premium platform feel.” GPT-5.4 mini · comparative prompt · first choice
“Known for its "Single Pass" architecture... especially strong in security-focused enterprise environments” Mistral Small · 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.
“Cisco failed one critical TCP-segmentation evasion, reducing its exploit-evasion resistance to 40 percent” Muse Glimmer 30B · negative prompt · hard negative
“Avoid Cisco if you do not have a dedicated, highly trained Cisco administrator on staff.” Gemini 3.5 Flash · negative prompt · hard negative
“Cisco Secure Firewall shows performance degradation when multiple security features are simultaneously enabled and typically falls below Fortinet and Palo Alto at equivalent price points” Claude Haiku 4.5 · negative prompt · soft negative
“Consider vendors like Fortinet, Palo Alto Networks, or Cisco that have proven mid-market solutions” GLM 4.7 FlashX · scale prompt · first choice
“If your organization's infrastructure is already built entirely on Cisco switches, routers, and identity services, choose Cisco” Gemini 3.5 Flash · comparative prompt · alternative
“Choose Cisco if you already rely heavily on Cisco infrastructure and want advanced traffic-analysis features.” Perplexity Sonar · 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.