KeeperPAM vs miniOrange PAM
Two of fourteen models named KeeperPAM first on the direct prompt; two named miniOrange PAM. KeeperPAM was named by thirteen of the fourteen models and miniOrange PAM by eight and KeeperPAM carries 30 labels and miniOrange PAM 13, so the shares are not directly comparable.
Named in two categories 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 privileged access management page.
By framing
KeeperPAMFirst choices, of fourteen modelsminiOrange PAM
Across every category in the October 2026 Edition, KeeperPAM and miniOrange PAM were named in the same answer sixteen times, of the 95 answers naming KeeperPAM and the 32 naming miniOrange PAM. In those answers miniOrange PAM took the first choice zero times and KeeperPAM four.
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 | |
KeeperPAM miniOrange PAM first choice named as an alternative argued againstblank: not namedEach cell is one answer, KeeperPAM on the left and miniOrange PAM on the right.The direct prompt
KeeperPAM first, miniOrange PAM not the choice
2 of 14 modelsminiOrange PAM was named in the answer but not as the choice, or not at all.miniOrange PAM first, KeeperPAM not the choice
2 of 14 modelsKeeperPAM was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
KeeperPAM29%#2 of 11miniOrange PAM0%#7 of 11KeeperPAM9%#3 of 11miniOrange PAM4%#5 of 11KeeperPAM4%#5 of 10miniOrange PAM0%#– of 10What the models said about KeeperPAM
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Keeper Security or similar low-tier password manager offerings, but these are generally *not full PAM platforms*” Perplexity Sonar · budget prompt · soft negative
“Keeper consistently leads the industry in ease of implementation (85%) and ease of administration (85%). You can deploy it in days, not months.” Gemini 3.5 Flash · direct prompt · first choice
“1. KeeperPAM (by Keeper Security) ... Best for: Rapid deployment, overall simplicity, and ease of use.” Gemini 3.5 Flash · paraphrase prompt · first choice
“I'd pick KeeperPAM for a typical mid-sized B2B company that wants the fastest path to value” Perplexity Sonar · paraphrase prompt · first choice
What the models said about miniOrange PAM
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“The best privileged access management platform for a mid-market B2B company is miniOrange, as it is considered the best for agentless PAM approach” Llama 4 Maverick · direct prompt · first choice
“the best overall fit is usually miniOrange PAM if you want an identity-first platform” Perplexity Sonar · direct prompt · first choice
“For organizations with simpler needs or those wanting agentless options, miniOrange PAM is also worth considering.” Mistral Small · direct 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.