EvaluAgent vs Playvox
Six of fourteen models named EvaluAgent first on the direct prompt; zero named Playvox. EvaluAgent was named by fourteen of the fourteen models and Playvox by eight and EvaluAgent carries 45 labels and Playvox 16, so the shares are not directly comparable.
Named in one category this edition.
Playvox
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 modelsPlayvoxAcross every category in the October 2026 Edition, EvaluAgent and Playvox were named in the same answer twenty-one times, of the 109 answers naming EvaluAgent and the 31 naming Playvox. In those answers Playvox took the first choice one time and EvaluAgent four.
Every model, every framing
| Model | DirectPL | ParaphrasePL | ComparativePL | Budget-constrainedPL | Scale-constrainedPL | NegativePL |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | ||||
| GPT-5.4 mini | | | ||||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | PL | | PL | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | PL | PL | | PL | |
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | PL | | ||||
| Kimi K2 | PL | PL | PL | | ||
| GLM 4.7 FlashX | | | | |||
| MiniMax M2.5 | | | PL | |||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | PL | |
EvaluAgentPL Playvox first choice named as an alternative argued againstblank: not namedEach cell is one answer, EvaluAgent on the left and Playvox on the right.The direct prompt
EvaluAgent first, Playvox an alternative
6 of 14 modelsPlayvox was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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 13What 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
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 Scorebuddy are likely your best bets” Kimi K2 · paraphrase prompt · first choice
“the best-in-class solutions (e.g., Playvox, Qualtrics, advanced EnsembleIQ styles) combine AI for 100% coverage with human calibration” DeepSeek V4 Flash · negative prompt · alternative
“Best for: Contact centers needing QA + workforce management + gamification in one platform” Kimi K2 · comparative prompt · alternative
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.