Six of fourteen models named EvaluAgent first on the direct prompt; zero named MaestroQA. EvaluAgent was named by fourteen of the fourteen models and MaestroQA by twelve and EvaluAgent carries 45 labels and MaestroQA 21, 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 contact center quality assurance page.
Across every category in the October 2026 Edition, EvaluAgent and MaestroQA were named in the same answer twenty-seven times, of the 109 answers naming EvaluAgent and the 52 naming MaestroQA. In those answers MaestroQA took the first choice one time and EvaluAgent six.
| 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.
“Users report repeated friction integrating with platforms like Amazon Connect, despite vendor instructions” DeepSeek V4 Flash · negative prompt · soft negative
“limited dashboard customization for evaluagent” GPT-6 Luna · negative prompt · soft negative
“For most companies with limited budgets, EvaluAgent at $35 per user offers the best balance of affordability and functionality.” Claude Haiku 4.5 · budget prompt · first choice
“My default pick: evaluagent—if you already have a contact-center platform and want to add QA without replacing it.” GPT-6 Luna · direct prompt · first choice
“EvaluAgent: A mid-market blended AI + human QA platform with autoQM, conversation intelligence, and scorecard builder.” Llama 4 Maverick · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid MaestroQA unless you need screen capture for compliance or have enterprise-level budgets” Kimi K2 · direct prompt · hard negative
“MaestroQA reviewers noted it's "not user-friendly, and not intuitive to use" with metrics lacking in ease of use and functionality” Claude Haiku 4.5 · negative prompt · soft negative
“MaestroQA, rebranded to Rippit... moving its core positioning away from traditional QA scorecards” Gemini 3.5 Flash · scale prompt · soft negative
“## 1. MaestroQA (now Rippit) - Best for: Teams wanting highly customizable manual QA with structured coaching” Kimi K2 · comparative prompt · first choice
“The Best Overall for Flexibility: MaestroQA ... is widely considered the gold standard for mid-to-large teams.” Qwen 3.7 Flash · paraphrase prompt · first choice
“I'd recommend MaestroQA as the default choice if your main need is support QA and conversation review” GPT-5.4 mini · 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.