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Index Customer Helpdesk › Zendesk vs TeamSupport
Customer support and helpdesk · September 2026 Edition

Zendesk vs TeamSupport

Two of twelve models named Zendesk first on the direct prompt; zero named TeamSupport. Zendesk was named by twelve of the twelve models and TeamSupport by ten and Zendesk carries 53 labels and TeamSupport 12, so the shares are not directly comparable.

Zendesk

accepted challenger

San Francisco, United States, founded 2007. Named in eleven categories this edition.

TeamSupport

accepted challenger

Named in two categories this edition.

First-choice share16%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate25%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 14; printed, not drawn.
Labels5312A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Zendesk reading right to left. Rank and label count are printed, not drawn.Freshdesk was named alongside these two in twelve of the twelve direct answers. Freshdesk vs Zendesk · Freshdesk vs TeamSupport · Zoho Desk vs Zendesk

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 customer support and helpdesk page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
ZendeskFirst choices, of twelve modelsTeamSupport
Direct202 against Zendesk
Paraphrase21
Comparative60
Budget-constrained002 against Zendesk
Scale-constrained30
Negative009 against Zendesk
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Zendesk and TeamSupport stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Zendesk TeamSupport first choice named as an alternative argued againstblank: not namedEach cell is one answer, Zendesk on the left and TeamSupport on the right.

The direct prompt

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

Zendesk first, TeamSupport not the choice

2 of 12 modelsTeamSupport was named in the answer but not as the choice, or not at all.
GPT-5.4 miniZendesk alternatives: Freshdesk, HubSpot Service Hub, Intercom, Salesforce Service Cloud
Perplexity SonarZendesk alternatives: Freshdesk

Neither was the first choice, one was named

8 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Freshdesk alternatives: HubSpot Service Hub, Intercom, TeamSupport, Zendesk
Grok 4.1 FastFreshdesk alternatives: TeamSupport, Zendesk
Mistral SmallPlain alternatives: Freshdesk, Front, Intercom, Zendesk
DeepSeek V4 FlashFreshdesk alternatives: Front, Intercom, Zendesk
Llama 4 MaverickFreshdesk alternatives: Help Scout, TeamSupport, Zendesk
Qwen 3.7 FlashFreshdesk alternatives: Plain, TeamSupport, Zendesk
GLM 4.7 FlashXFreshdesk alternatives: Intercom, Zendesk
MiniMax M2.5Pylon alternatives: Freshdesk, Intercom, Zendesk

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashPylon alternatives: Freshdesk, Front, HubSpot Service Hub
Kimi K2Freshdesk alternatives: Front, HubSpot Service Hub, Intercom, Plain

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
TeamSupport leads by two points.
TeamSupport4%#– of 10
Zendesk2%#5 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Zendesk leads at mid-market.
Zendesk16%#3 of 14
TeamSupport2%#5 of 14
The full mid-market standing →
Enterprise
Zendesk leads by forty-nine points.
Zendesk53%#1 of 10
TeamSupport4%#– of 10
The full enterprise standing →

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 seven in this category shown.

“Verdict: Avoid unless you're a large enterprise with dedicated admin resources and budget for the full suite.” DeepSeek V4 Flash · negative prompt · hard negative
“Zendesk (Most Frequently Criticized)... Who to Avoid It: Small/mid-sized teams sensitive to costs” Grok 4.1 Fast · negative prompt · hard negative
“Avoid at This Budget Stage - Zendesk ... overpowered and overpriced for a small team” DeepSeek V4 Flash · budget prompt · hard negative
“The industry standard. Unmatched reporting, powerful SLA engines, and robust security. However, it can be expensive and require a dedicated administrator.” Gemini 3.5 Flash · scale prompt · first choice
“The Market Leader: Zendesk ... remains the most popular helpdesk software due to its massive scalability and app marketplace.” Qwen 3.7 Flash · comparative prompt · first choice
“the safest single recommendation is Zendesk if you need the most depth, customization, and scalability” Perplexity Sonar · direct prompt · first choice

What the models said about TeamSupport

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

“if B2B-specific features are crucial, go with TeamSupport” Claude Haiku 4.5 · paraphrase prompt · first choice
Also compared

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.