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Contact center quality assurance · October 2026 Edition

Playvox vs Level AI

Zero of fourteen models named Playvox first on the direct prompt; one named Level AI. Playvox was named by eight of the fourteen models and Level AI by nine and Playvox carries 16 labels and Level AI 12, so the shares are not directly comparable.

Playvox

accepted challenger

Named in one category this edition.

Level AI

accepted challenger

Named in four categories this edition.

First-choice share2%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 13; printed, not drawn.
Labels1612A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Playvox reading right to left. Rank and label count are printed, not drawn.EvaluAgent was named alongside these two in twelve of the fourteen direct answers. EvaluAgent vs Playvox · EvaluAgent vs Level AI · Scorebuddy vs Playvox

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PlayvoxFirst choices, of fourteen modelsLevel AI
Direct01
Paraphrase10
Comparative01
Budget-constrained00
Scale-constrained00
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Playvox and Level AI were named in the same answer eight times, of the 31 answers naming Playvox and the 35 naming Level AI. In those answers Level AI took the first choice one time and Playvox zero.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Playvox and Level AI stood in it.
ModelDirectPLParaphrasePLComparativePLBudget-constrainedPLScale-constrainedPLNegativePL
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 FastPLPL
Mistral Small
DeepSeek V4 FlashPLPLPL
Llama 4 Maverick
Qwen 3.7 FlashPL
Kimi K2PLPLPL
GLM 4.7 FlashX
MiniMax M2.5PL
GPT-6 Luna
Muse Glimmer 30BPL
PL Playvox Level AIPL first choicePL named as an alternativePL argued againstblank: not namedEach cell is one answer, Playvox on the left and Level AI on the right.

The direct prompt

The plain question, one answer per model, grouped by where Playvox and Level AI stood in it.

Level AI first, Playvox not the choice

1 of 14 modelsPlayvox was named in the answer but not as the choice, or not at all.
GPT-5.4 miniLevel AI alternatives: Calabrio ONE, Scorebuddy, Zendesk QA

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.
Claude Haiku 4.5Scorebuddy alternatives: Convin, EvaluAgent, Gong, Level AI
Gemini 3.5 FlashZendesk QA alternatives: EvaluAgent, Level AI, MaestroQA
Perplexity SonarScorebuddy alternatives: AmplifAI, Balto, EvaluAgent, Level AI
Qwen 3.7 FlashCallMiner Eureka alternatives: Five9 Agent Connect, MaestroQA, NICE CXone Quality Management, Playvox
Kimi K2EvaluAgent alternatives: Playvox, ScorebuddyCX, Zendesk QA
Muse Glimmer 30BObserve.AI, Zendesk QA alternatives: EvaluAgent, Playvox, Scorebuddy

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Grok 4.1 FastEvaluAgent, Scorebuddy alternatives: Balto, Talkdesk QM, Zendesk QA
Mistral SmallEvaluAgent, Scorebuddy alternatives: Talkdesk
DeepSeek V4 FlashEvaluAgent alternatives: AmplifAI, Observe.AI, Scorebuddy, Talkdesk, Zendesk QA
Llama 4 MaverickEvaluAgent alternatives: GetApp, Scorebuddy
GLM 4.7 FlashXAmplifAI, Balto alternatives: EvaluAgent, Playvox QM, Scorebuddy
MiniMax M2.5Scorebuddy alternatives: EvaluAgent, Voxjar, Zendesk QA
GPT-6 LunaEvaluAgent alternatives: CallMiner Eureka, NICE CXone Quality Management

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
Playvox0%#– of 12
Level AI0%#– of 12
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Playvox2%#7 of 13
Level AI2%#8 of 13
The full mid-market standing →
Enterprise
Level AI leads by four points.
Level AI4%#8 of 14
Playvox0%#– of 14
The full enterprise standing →

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

What the models said about Level AI

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“my default recommendation is Level AI if you want the most balanced mix of AI-powered QA, omnichannel coverage, and mid-market fit” GPT-5.4 mini · direct prompt · first choice
“often ranked #1 for comprehensive QA” DeepSeek V4 Flash · comparative prompt · first choice
“Level AI is recommended for mid-market contact centers consolidating conversation intelligence and QA on one platform” Claude Haiku 4.5 · direct prompt · alternative
Also compared

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.