Zoho Desk vs Zendesk
Zero of fourteen models named Zoho Desk first on the direct prompt; three named Zendesk. Zoho Desk was named by thirteen of the fourteen models and Zendesk by eleven and Zoho Desk carries 21 labels and Zendesk 29, 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 HR help desk and case management page.
By framing
Zoho DeskFirst choices, of fourteen modelsZendesk
Across every category in the October 2026 Edition, Zoho Desk and Zendesk were named in the same answer twenty-six times, of the 48 answers naming Zoho Desk and the 102 naming Zendesk. In those answers Zendesk took the first choice two times and Zoho Desk ten.
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 | | | |
Zoho Desk Zendesk first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zoho Desk on the left and Zendesk on the right.The direct prompt
Zendesk first, Zoho Desk an alternative
3 of 14 modelsZoho Desk was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
Zoho Desk25%#2 of 13Zendesk2%#9 of 13Zoho Desk19%#1 of 10Zendesk8%#4 of 10Zendesk8%#2 of 9Zoho Desk2%#– of 9What the models said about Zoho Desk
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 HR help desk software for a company with a limited budget is Zoho Desk, as it is considered the best budget option for small HR teams.” Llama 4 Maverick · budget prompt · first choice
“The Best All-Around Value: Zoho Desk ... this is widely considered the best budget option.” Qwen 3.7 Flash · budget prompt · first choice
“Top Recommendation: Zoho Desk ... consistently rated as the best budget option” DeepSeek V4 Flash · budget prompt · first choice
What the models said about Zendesk
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Zendesk is shown with a notable negative share for HR help desk / case management” Muse Glimmer 30B · negative prompt · hard negative
“Traditional IT-style ticketing tools (like Zendesk) lack the hyper-secure permission controls and structured investigation workflows” Gemini 3.5 Flash · comparative prompt · soft negative
“at a fraction of the cost of competitors like Zendesk or ServiceNow” Qwen 3.7 Flash · budget prompt · soft negative
“The Best "Best-of-Breed" Solution: Zendesk for HR ... Want the industry gold standard with the most integrations | Zendesk” Qwen 3.7 Flash · paraphrase prompt · first choice
“two clear market leaders that strike the right balance ... Freshservice and Zendesk” Qwen 3.7 Flash · direct prompt · first choice
“I'd recommend Freshservice or Zendesk Employee Service” Kimi K2 · direct prompt · first choice
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.