One of fourteen models named ConductorOne first on the direct prompt; zero named JumpCloud. ConductorOne was named by eight of the fourteen models and JumpCloud by eight and ConductorOne carries 15 labels and JumpCloud 10, so the shares are not directly comparable.
Named in two categories this edition.
Named in ten 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 identity governance 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.
“Outages at scale, coverage gaps ... CEL query complexity, add-on pricing.” Grok 4.1 Fast · negative prompt · soft negative
“these lightweight tools will struggle to bridge the gap” Gemini 3.5 Flash · negative prompt · soft negative
“Zluri, Lumos, ConductorOne — Built for mid-market; faster deployments ($), lower administrative burden” Qwen 3.7 Flash · scale prompt · first choice
“I'd recommend ConductorOne as a strong starting point.” Grok 4.1 Fast · paraphrase prompt · first choice
“Recommendation: Lumos or ConductorOne” Qwen 3.7 Flash · direct prompt · first choice
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.