Two of fourteen models named EvaluAgent first on the direct prompt; two named MaestroQA. EvaluAgent was named by fourteen of the fourteen models and MaestroQA by thirteen and EvaluAgent carries 41 labels and MaestroQA 36, 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 November 2026 Edition, EvaluAgent and MaestroQA were named in the same answer forty-four times, of the 106 answers naming EvaluAgent and the 79 naming MaestroQA. In those answers MaestroQA took the first choice eight times and EvaluAgent nine.
| 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 |
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. 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
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/Rippit unless: ... You're prepared for a heavier setup and potential strategic shifts” Kimi K2 · paraphrase prompt · hard negative
“Avoid enterprise tools like Observe.AI, MaestroQA, and Level AI” DeepSeek V4 Flash · budget prompt · hard negative
“Platforms like MaestroQA or Observe.AI can require minimum annual commitments (often starting at $15k–$30k/year), which can be prohibitive for small budgets.” Gemini 3.5 Flash · budget prompt · soft negative
“1. MaestroQA - Best for: Mid-market support teams prioritizing ease of use and fast time-to-value” MiniMax M2.5 · direct prompt · first choice
“MaestroQA (Rippit) – *Best Overall Dedicated QA Platform for Mid-Market B2B*” Gemini 3.5 Flash · direct prompt · first choice
“If budget is the primary concern: Start with MaestroQA or ScorebuddyCX” MiniMax M2.5 · budget 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.