EvaluAgent vs Playvox QM
Six of fourteen models named EvaluAgent first on the direct prompt; zero named Playvox QM. EvaluAgent was named by fourteen of the fourteen models and Playvox QM by seven and EvaluAgent carries 45 labels and Playvox QM 10, so the shares are not directly comparable.
Named in one category this edition.
Playvox QM
accepted challengerNamed 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 modelsPlayvox QMAcross every category in the October 2026 Edition, EvaluAgent and Playvox QM were named in the same answer twenty-two times, of the 109 answers naming EvaluAgent and the 24 naming Playvox QM. In those answers Playvox QM took the first choice four times and EvaluAgent five.
Every model, every framing
| Model | DirectPQ | ParaphrasePQ | ComparativePQ | Budget-constrainedPQ | Scale-constrainedPQ | NegativePQ |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | | PQ | | ||
| DeepSeek V4 Flash | | | PQ | | ||
| Llama 4 Maverick | | PQ | ||||
| Qwen 3.7 Flash | PQ | |||||
| Kimi K2 | | | PQ | |||
| GLM 4.7 FlashX | PQ | PQ | | |||
| MiniMax M2.5 | | | | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | PQ |
EvaluAgentPQ Playvox QM first choice named as an alternative argued againstblank: not namedEach cell is one answer, EvaluAgent on the left and Playvox QM on the right.The direct prompt
EvaluAgent first, Playvox QM not the choice
6 of 14 modelsPlayvox QM 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
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
EvaluAgent19%#1 of 12EvaluAgent28%#1 of 13EvaluAgent9%#5 of 14What the models said about EvaluAgent
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
What the models said about Playvox QM
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Playvox or evaluagent are generally the most accessible and cost-effective dedicated options” Qwen 3.7 Flash · budget prompt · first choice
“I'd recommend starting with EvaluAgent or Playvox QM” GLM 4.7 FlashX · paraphrase prompt · first choice
“Top Pick: Playvox QM” DeepSeek V4 Flash · 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.