Two of fourteen models named Keyfactor Command first on the direct prompt; zero named AWS Certificate Manager. Keyfactor Command was named by fourteen of the fourteen models and AWS Certificate Manager by twelve and Keyfactor Command carries 41 labels and AWS Certificate Manager 24, 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 certificate lifecycle management page.
Across every category in the November 2026 Edition, Keyfactor Command and AWS Certificate Manager were named in the same answer twenty-three times, of the 113 answers naming Keyfactor Command and the 60 naming AWS Certificate Manager. In those answers AWS Certificate Manager took the first choice one time and Keyfactor Command eight.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | AC | AC | ||||
| Perplexity Sonar | ||||||
| Grok 4.20 | AC | AC | AC | |||
| Mistral Small | ||||||
| DeepSeek V4 Flash | ||||||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | AC | AC | ||||
| Kimi K2 | ||||||
| GLM 4.7 FlashX | AC | |||||
| MiniMax M2.5 | ||||||
| GPT-6 Luna | AC | |||||
| 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.
“What to Avoid on a Budget ... Keyfactor Command” DeepSeek V4 Flash · budget prompt · hard negative
“sales experiences are often criticized as overly aggressive or time-consuming... Pricing can inflate quickly with add-ons” Grok 4.20 · negative prompt · soft negative
“Carefully plan your infrastructure requirements and ensure proper SQL and Kerberos setup before deployment” GLM 4.7 FlashX · negative prompt · soft negative
“Choose Keyfactor if you are a large enterprise looking for a robust, customizable alternative to Venafi with a lower price tag.” GLM 4.7 FlashX · comparative prompt · first choice
“Keyfactor Command is often the strongest default choice if you want a platform that can grow with you” GPT-5.4 mini · direct prompt · first choice
“CA Agnostic, scalable, multi-cloud | Keyfactor Command | Flexible, connects to any public/private CA.” Gemini 3.5 Flash · paraphrase 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.
“What to Avoid ... Basic cloud provider tools (AWS ACM, Azure Key Vault): ... insufficient for multi-cloud/hybrid setups” MiniMax M2.5 · direct prompt · hard negative
“Cloud-Native / Open-Source Tools (e.g., HashiCorp Vault, AWS Certificate Manager, Smallstep): ... *Caution:* They often lack deep visibility into legacy on-prem infrastructure” Gemini 3.5 Flash · negative prompt · soft negative
“limited discovery outside their platforms and not ideal as a central enterprise CLM for multi-vendor/hybrid setups” Grok 4.20 · comparative prompt · soft negative
“If you are 100% in AWS/Azure/GCP: Use your cloud provider's native tools (AWS Certificate Manager, Azure Key Vault)—it's free or nearly free.” Gemini 3.5 Flash · budget prompt · first choice
“Best if nearly all workloads run on AWS; ... but is less suitable as a cross-environment certificate-management platform.” Perplexity Sonar · paraphrase prompt · alternative
“A cloud-native solution that simplifies the deployment and management of SSL/TLS certificates on AWS infrastructure.” Mistral Small · 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.