Contact center quality assurance · October 2026 Edition
Scorebuddy vs Level AI
Five of fourteen models named Scorebuddy first on the direct prompt; one named Level AI. Scorebuddy was named by twelve of the fourteen models and Level AI by nine and Scorebuddy carries 31 labels and Level AI 12, so the shares are not directly comparable.
Scorebuddy
accepted challengerNamed in one category this edition.
Named in four categories this edition.
First-choice share18%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate3%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 13; printed, not drawn.
Labels3112A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Scorebuddy 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 Scorebuddy · EvaluAgent vs Level AI · Scorebuddy vs Zendesk QA
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.
ScorebuddyFirst choices, of fourteen modelsLevel AI
Direct51
Paraphrase30
Comparative01
Budget-constrained10
Scale-constrained00
Negative001 against Scorebuddy
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.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Scorebuddy and Level AI stood in it.
| Model | DirectSC | ParaphraseSC | ComparativeSC | Budget-constrainedSC | Scale-constrainedSC | NegativeSC |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | SC | |||||
| GPT-5.4 mini | SC | |||||
| Gemini 3.5 Flash | | SC | ||||
| Perplexity Sonar | SC | | SC | |||
| Grok 4.1 Fast | SC | SC | | SC | SC | |
| Mistral Small | SC | SC | ||||
| DeepSeek V4 Flash | SC | SC | | |||
| Llama 4 Maverick | SC | |||||
| Qwen 3.7 Flash | ||||||
| Kimi K2 | SC | SC | SC | |||
| GLM 4.7 FlashX | SC | SC | ||||
| MiniMax M2.5 | SC | |||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | SC | SC |
SC Scorebuddy Level AISC first choiceSC named as an alternativeSC argued againstblank: not namedEach cell is one answer, Scorebuddy on the left and Level AI on the right.
Level AISC first choiceSC named as an alternativeSC argued againstblank: not namedEach cell is one answer, Scorebuddy on the left and Level AI on the right.The direct prompt
The plain question, one answer per model, grouped by where Scorebuddy and Level AI stood in it.
Scorebuddy first, Level AI an alternative
5 of 14 modelsLevel AI was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Scorebuddy alternatives: Convin, EvaluAgent, Gong, Level AI
Perplexity SonarScorebuddy alternatives: AmplifAI, Balto, EvaluAgent, Level AI
Grok 4.1 FastEvaluAgent, Scorebuddy alternatives: Balto, Talkdesk QM, Zendesk QA
Mistral SmallEvaluAgent, Scorebuddy alternatives: Talkdesk
MiniMax M2.5Scorebuddy alternatives: EvaluAgent, Voxjar, Zendesk QA
Level AI first, Scorebuddy an alternative
1 of 14 modelsScorebuddy 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
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Gemini 3.5 FlashZendesk QA alternatives: EvaluAgent, Level AI, MaestroQA
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
Muse Glimmer 30BObserve.AI, Zendesk QA alternatives: EvaluAgent, Playvox, Scorebuddy
Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.Qwen 3.7 FlashCallMiner Eureka alternatives: Five9 Agent Connect, MaestroQA, NICE CXone Quality Management, Playvox
Kimi K2EvaluAgent alternatives: Playvox, ScorebuddyCX, 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
Scorebuddy leads by seven points.
Scorebuddy7%#5 of 12
Level AI0%#– of 12Mid-marketThe figures above
Scorebuddy leads by sixteen points.
Scorebuddy18%#2 of 13
Level AI2%#8 of 13Enterprise
The order flips: Level AI leads at enterprise.
Level AI4%#8 of 14Scorebuddy2%#10 of 14
The full enterprise standing →What the models said about Scorebuddy
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Suggest the vendor isn't investing in the product (mentioned about some tools like Scorebuddy)” Kimi K2 · negative prompt · soft negative
“Scorebuddy (now ScorebuddyCX) stands out as one of the best contact center quality assurance (QA) tools” Grok 4.1 Fast · budget prompt · first choice
“EvaluAgent and Scorebuddy are often highlighted as the most cost-effective and scalable options” Mistral Small · direct prompt · first choice
“I'd recommend Scorebuddy as a strong starting point for support QA and conversation review.” Grok 4.1 Fast · paraphrase prompt · first choice
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
EvaluAgent vs ScorebuddyEvaluAgent vs Level AIScorebuddy vs Zendesk QAScorebuddy vs Playvox QMScorebuddy vs CloudTalkScorebuddy vs MaestroQAScorebuddy vs PlayvoxZendesk QA vs Level AIPlayvox QM vs Level AICloudTalk vs Level AIMaestroQA vs Level AIPlayvox vs Level AIAll twenty-eight head-to-head pages and the full Contact center QA standing
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.