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Unified endpoint management · October 2026 Edition

JumpCloud vs Miradore

Zero of fourteen models named JumpCloud first on the direct prompt; zero named Miradore. JumpCloud was named by nine of the fourteen models and Miradore by seven and JumpCloud carries 19 labels and Miradore 13, so the shares are not directly comparable.

JumpCloud

accepted challenger

Named in ten categories this edition.

Miradore

accepted challenger

Named in one category this edition.

First-choice share5%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate0%8%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#4#5A position in a field of 12; printed, not drawn.

Labels1913A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, JumpCloud reading right to left. Rank and label count are printed, not drawn.ManageEngine Endpoint Central was named alongside these two in fourteen of the fourteen direct answers. Microsoft Intune vs JumpCloud · Microsoft Intune vs Miradore · ManageEngine Endpoint Central vs JumpCloud

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 unified endpoint management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.

JumpCloudFirst choices, of fourteen modelsMiradore

Direct00

Paraphrase20

Comparative00

Budget-constrained03

Scale-constrained10

Negative001 against Miradore

Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where JumpCloud and Miradore stood in it.

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

JumpCloud

Miradore

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, JumpCloud on the left and Miradore on the right.

The direct prompt

The plain question, one answer per model, grouped by where JumpCloud and Miradore stood in it.

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.

Grok 4.1 FastNinjaOne alternatives: JumpCloud, ManageEngine Endpoint Central, Microsoft Intune

Kimi K2Microsoft Intune alternatives: Hexnode UEM, JumpCloud, ManageEngine Endpoint Central, NinjaOne

GLM 4.7 FlashXMicrosoft Intune alternatives: Ivanti Neurons for UEM, JumpCloud, ManageEngine Endpoint Central, Miradore

Muse Glimmer 30BManageEngine Endpoint Central alternatives: JumpCloud, Microsoft Intune, NinjaOne

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.

Claude Haiku 4.5ManageEngine Endpoint Central alternatives: Ivanti Neurons for UEM, NinjaOne

GPT-5.4 miniMicrosoft Intune alternatives: Jamf, ManageEngine Endpoint Central

Gemini 3.5 FlashNinjaOne alternatives: Hexnode UEM, Iru, Jamf, ManageEngine Endpoint Central, Microsoft Intune

Perplexity SonarManageEngine Endpoint Central alternatives: Microsoft Intune

Mistral SmallMicrosoft Intune alternatives: Ivanti Neurons for UEM, ManageEngine Endpoint Central

DeepSeek V4 FlashManageEngine Endpoint Central, Microsoft Intune alternatives: Hexnode UEM, Jamf, NinjaOne

Llama 4 MaverickManageEngine Endpoint Central

Qwen 3.7 FlashManageEngine Endpoint Central alternatives: BlackBerry UEM, Hexnode UEM, Microsoft Intune

MiniMax M2.5ManageEngine Endpoint Central, Microsoft Intune

GPT-6 LunaMicrosoft Intune alternatives: ManageEngine Endpoint Central, Omnissa Workspace ONE

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.

Small business

Miradore leads by fifteen points.

Miradore#2 of 15

JumpCloud#7 of 15

The full small business standing →

Mid-marketThe figures above

Level: the same share of first choices.

JumpCloud#4 of 12

Miradore#5 of 12

The full mid-market standing →

Enterprise

Level: the same share of first choices.

JumpCloud#– of 9

Miradore#– of 9

The full enterprise standing →

What the models said about JumpCloud

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.

“JumpCloud offers the best balance of features, pricing, and ease of use for mid-sized companies” MiniMax M2.5 · paraphrase prompt · first choice

What the models said about Miradore

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.

“gripes cluster on lesser-knowns like Miradore (UI clunkiness)” Grok 4.1 Fast · negative prompt · soft negative

“Miradore (by GoTo) is the industry standard for budget-conscious IT teams.” Gemini 3.5 Flash · budget prompt · first choice

“For a company watching every dollar, I'd start with Miradore” GPT-6 Luna · budget prompt · first choice

“Miradore (Best Overall for Small Budgets)” MiniMax M2.5 · budget prompt · first choice

Also compared

Microsoft Intune vs JumpCloud Microsoft Intune vs Miradore ManageEngine Endpoint Central vs JumpCloud ManageEngine Endpoint Central vs Miradore NinjaOne vs JumpCloud NinjaOne vs Miradore JumpCloud vs Jamf Miradore vs Jamf All fifteen head-to-head pages and the full UEM standing

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.