EvaluAgent vs Zendesk QA
Two of fourteen models named EvaluAgent first on the direct prompt; two named Zendesk QA. Both were named by all fourteen models and EvaluAgent carries 41 labels and Zendesk QA 38, so the shares are not directly comparable.
Named in one category this edition.
By Zendesk, San Francisco, United States, founded 2007. 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 contact center quality assurance page.
By framing
EvaluAgentFirst choices, of fourteen modelsZendesk QA
Across every category in the November 2026 Edition, EvaluAgent and Zendesk QA were named in the same answer sixty-two times, of the 106 answers naming EvaluAgent and the 108 naming Zendesk QA. In those answers Zendesk QA took the first choice seven times and EvaluAgent sixteen.
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 4.20 | | | | |||
| 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 | | |
EvaluAgent Zendesk QA first choice named as an alternative argued againstblank: not namedEach cell is one answer, EvaluAgent on the left and Zendesk QA on the right.The direct prompt
EvaluAgent first, Zendesk QA an alternative
2 of 14 modelsZendesk QA was named in the answer but not as the choice, or not at all.Zendesk QA first, EvaluAgent an alternative
2 of 14 modelsEvaluAgent was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
8 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 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
EvaluAgent11%#4 of 13Zendesk QA11%#3 of 13EvaluAgent17%#2 of 17Zendesk QA8%#6 of 17EvaluAgent10%#2 of 15Zendesk QA2%#11 of 15What the models said about EvaluAgent
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“For most mid-sized B2B companies, EvaluAgent is the best balance of automation, pricing transparency, and ease of use.” Mistral Small · paraphrase prompt · first choice
“My default pick: evaluagent for a mid-market B2B company that wants a dedicated QA tool” GPT-6 Luna · direct prompt · first choice
“The key differentiator for mid-sized B2B teams is usually EvaluAgent” DeepSeek V4 Flash · paraphrase prompt · first choice
What the models said about Zendesk QA
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Great if you're already on Zendesk ... However, the per-agent pricing can add up.” DeepSeek V4 Flash · budget prompt · soft negative
“Zendesk QA if you're on Zendesk (best integration, best UX, reasonable price)” DeepSeek V4 Flash · direct prompt · first choice
“My default pick would be Zendesk QA—if your support team already runs on Zendesk.” GPT-6 Luna · paraphrase prompt · first choice
“My Top Recommendation: Zendesk QA (formerly Klaus)” Kimi K2 · paraphrase 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.