Zero of fourteen models named Zero Networks Segment first on the direct prompt; one named Zscaler Private Access. Zero Networks Segment was named by thirteen of the fourteen models and Zscaler Private Access by eight and Zero Networks Segment carries 31 labels and Zscaler Private Access 14, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories 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 microsegmentation page.
| 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. Five of six in this category shown.
“Zero Networks' MFA-centric model may not suit every environment... with Kubernetes segmentation still maturing.” Claude Haiku 4.5 · negative prompt · soft negative
“Emerging; less mature integrations” Grok 4.1 Fast · comparative prompt · soft negative
“Prioritize modern, identity/label-based tools (e.g., Calico for K8s, Zero Networks for simplicity)” Grok 4.1 Fast · negative prompt · first choice
“I recommend Zero Networks.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Zero Networks (Runner-Up) - Best if: Your company is cloud-heavy or you want zero-trust segmentation” GLM 4.7 FlashX · paraphrase prompt · alternative
No label in this category carried a quote.
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.