Index › GTM › Customer › Contact center QA · November 2026 Edition

Contact center quality assurance

Asked as “contact center quality assurance tool”, and as “support QA and conversation review platform”, on behalf of a mid-market B2B company. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
21%
Contested · EvaluAgent 17%
21Voxjar17EvaluAgent15MaestroQA48others

21% of first choices, contested.

Since October 2026↗new leaderNew leader since October 2026: Voxjar (21%) replaces EvaluAgent (28% then, 17% now), 4 points clear, inside the 11-point floor.Voxjar leads at 21%, replacing EvaluAgent, which led at 28% and stands at 17% now: 4 points clear, inside the floor, so the swap reads as unsettled.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.

The standing

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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Voxjar21%0%18accepted challenger▲+21Since October 2026: 0% → 21%, +21 points. Past the 11-point floor: movement.0% → 21%
02EvaluAgent17%0%41accepted challenger▼−11Since October 2026: 28% → 17%, −11 points. Past the 11-point floor: movement.28% → 17%
03MaestroQA15%22%36accepted challenger▲+11Since October 2026: 4% → 15%, +11 points. Inside the 11-point floor: within noise.4% → 15%
04ScorebuddyCX10%0%21accepted challenger▲+8Since October 2026: 2% → 10%, +8 points. Inside the 11-point floor: within noise.2% → 10%
05Scorebuddy10%5%20accepted challenger▼−8Since October 2026: 18% → 10%, −8 points. Inside the 11-point floor: within noise.18% → 10%
06Zendesk QA8%3%38accepted challenger▼−6Since October 2026: 14% → 8%, −6 points. Inside the 11-point floor: within noise.14% → 8%
07Insightful4%0%14accepted challengernewNew since October 2026: not ranked then, 4% now.
08Talkdesk Quality Management2%13%15accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Show the nine products at 0%, ordered by negative rate
14Observe.AI0%35%26criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
17Five9 Quality Management0%33%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
15NICE CXone Quality Management0%29%17criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
16Verint Quality Management0%27%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
13CallMiner Eureka0%17%12accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
12Genesys Cloud Quality Management0%8%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
10Playvox0%7%15accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
09Level AI0%5%20accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
11CloudTalk0%0%10accepted challenger▼−4Since October 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise.4% → 0%

The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured

Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each

Recommended versus criticized

Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.

Criticized challengerCriticized default
Negative label rate →
01
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S05
06
07
T08
09
P10
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G12
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17
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01Voxjar21%
02EvaluAgent17%
03MaestroQA15%
04ScorebuddyCX10%
05Scorebuddy10%
06Zendesk QA8%
07Insightful4%
08Talkdesk Quality Management2%
09Level AI0%
10Playvox0%
11CloudTalk0%
12Genesys Cloud Quality Management0%
13CallMiner Eureka0%
14Observe.AI0%
15NICE CXone Quality Management0%
16Verint Quality Management0%
17Five9 Quality Management0%

What they warned about

Three of fourteen models held their first choice under the paraphrase. GPT-5.4 mini, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Observe.AI
35%
9 of 26 labels negative · 7 of 14 models · 3 hard negative
“Avoid | Typically targeted at Enterprise contact centers; likely overkill” Qwen 3.7 Flash, paraphrase prompt
MaestroQA
22%
8 of 36 labels negative · 6 of 14 models · 2 hard negative
“Avoid MaestroQA/Rippit unless: ... You're prepared for a heavier setup and potential strategic shifts” Kimi K2, paraphrase prompt
Five9 Quality Management
33%
4 of 12 labels negative · 4 of 14 models · 3 hard negative
“User-review aggregators flag Five9's Quality Management capability as a weak point of the platform.” Muse Glimmer 30B, negative prompt
NICE CXone Quality Management
29%
5 of 17 labels negative · 3 of 14 models · 2 hard negative
“avoid heavy enterprise suites (like NICE CXone or Verint) that carry high platform fees and long implementation cycles” Gemini 3.5 Flash, budget prompt

What they cite

Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.

Sites the answers cite

76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 845 links across 192 sites, every framing counted. Ranked by the number of answers carrying the site or page. 6 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.

vendor site · Capterra40 answers · 56 citations · 12 models
32 answers · 49 citations · 13 models
vendor site · Software Advice31 answers · 45 citations · 10 models
vendor site · GetApp31 answers · 40 citations · 11 models
vendor site · Voxjar29 answers · 42 citations · 11 models
vendor site · CloudTalk21 answers · 21 citations · 8 models
vendor site · Guideflow20 answers · 20 citations · 9 models
vendor site · Verint16 answers · 27 citations · 11 models
15 answers · 15 citations · 9 models
vendor site · Exotel14 answers · 14 citations · 7 models
vendor site · Kapiche13 answers · 14 citations · 8 models
vendor site · C2Perform12 answers · 12 citations · 10 models

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

Search against answers

Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best contact center quality assurance tool”, “contact center quality assurance tool”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
Company and productsShareOwn site citedName searches, GoogleAI search demand, est.Organic visitsPaid search a month, est.Google ads, last 30 daysBest Google position
Voxjar voxjar.com21%48500445
EvaluAgent evaluagent.com17%103170332611
MaestroQA maestroqa.com15%728804575
ScorebuddyCX scorebuddycx.com10%4806,7670
Scorebuddy10%3904
Zendesk zendesk.com
Zendesk QA 8%
8%10374,0003,5665,365,445 company$16,181637
Insightful insightful.io4%32135,00031,73251,763$34372
Zoho parent site
Zoho Desk 4%
4%1678,100105
Playvox QM4%0
Talkdesk Quality Management talkdesk.com2%3472,323$50222

Google's top ten for the two searches hold 15 sites; 2 of them are among the sites the models cited here (c2perform.com, g2.com). The first result for “best contact center quality assurance tool” is thecxlead.com.

How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHide
ModelDirect“What is the best contact center quality assurance tool for a mid-market B2B company?”Paraphrase“Which support QA and conversation review platform would you recommend to a mid-sized B2B company?”Comparative“What are the top contact center quality assurance tools and how do they differ?”Budget-constrained“What is the best contact center quality assurance tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a contact center quality assurance tool. What should we look at?”Negative“Which contact center quality assurance tools should I avoid or be cautious about?”
Claude Haiku 4.5ScorebuddyCX
Three alternativesCloudTalk, EvaluAgent, Voxjar
ScorebuddyCXHeld
Four alternativesEvaluAgent, Level AI, MaestroQA, Zendesk QA
AmplifAI
Three alternativesEvaluAgent, MaestroQA, NICE CXone Quality Management
EvaluAgent, Scorebuddy
Three alternativesConvin, Voxjar, Zendesk QA
against: MaestroQA, Observe.AI
no first choiceagainst: Cresta, Five9 Quality Management, Observe.AI
GPT-5.4 miniTalkdesk Quality Management
Five alternativesEvaluAgent, MaestroQA, Salesforce Service Cloud, ScorebuddyCX, my.SQM Auto QA
MaestroQAChanged
Three alternativesPylon, Talkdesk Quality Management, Zendesk QA
no first choice
Six alternativesCalabrio QM/Quality Management, Five9 Quality Management, Genesys Cloud Quality Management, NICE CXone Quality Management, Talkdesk Quality Management, Verint Quality Management
Scorebuddy
Four alternativesCall Criteria, EvaluAgent, VQ Online, Zendesk QA
no first choiceagainst: CallMiner Eureka, Observe.AI
Gemini 3.5 FlashMaestroQA
Four alternativesEvaluAgent, Level AI, Scorebuddy, Zendesk QA
MaestroQAHeld
Three alternativesEvaluAgent, Level AI, Zendesk QA
no first choice
Nine alternativesCalabrio ONE, CallMiner Eureka, EvaluAgent, Level AI, MaestroQA, NICE CXone Quality Management, Observe.AI, Scorebuddy, Verint Quality Management
Voxjar
Three alternativesEvaluAgent, Scorebuddy, Zendesk QA
against: MaestroQA, NICE CXone Quality Management, Observe.AI, Verint Quality Management
no first choicenothing named
Perplexity SonarScorebuddy
Five alternativesLevel AI, Rippit, formerly MaestroQA, Talkdesk Quality Management, Voxjar, Zendesk QA
EvaluAgentChanged
Four alternativesLevel AI, MaestroQA, Observe.AI, Zendesk QA
no first choice
Twelve alternativesBalto, CallMiner Eureka, EvaluAgent, Genesys Cloud Quality Management, Level AI, MaestroQA, NICE CXone Quality Management, Observe.AI, Playvox QM, Rippit, ScorebuddyCX, Talkdesk Quality Management
EvaluAgent
Three alternativesCloudTalk, Voxjar, Zendesk QA
against: Playvox, Scorebuddy
no first choicenothing named
Grok 4.20ScorebuddyCX
Five alternativesCloudTalk, EvaluAgent, Insightful, SQM CX Quality™, Zendesk QA
against: Genesys Cloud Quality Management, Talkdesk Quality Management
MaestroQAChanged
Three alternativesEvaluAgent, Gong, Playvox QM
Dialpad Support
Eight alternativesCalabrio ONE, Genesys Cloud Quality Management, Kapiche, Playvox, Salesforce Service Cloud, ScorebuddyCX, Talkdesk Quality Management, Zendesk QA
against: NICE CXone Quality Management
Zoho Desk
Four alternativesCloudTalk, LiveAgent, Orecx, Scorebuddy
against: NICE CXone Quality Management, Observe.AI, Verint Quality Management
no first choiceagainst: Talkdesk Quality Management
Mistral SmallInsightful, Zendesk QA
Two alternativesCallFinder, EvaluAgent
EvaluAgentChanged
Three alternativesIrisAgent, MaestroQA, Zendesk QA
no first choiceZoho Desk
Four alternativesEvaluAgent, Kaizo, LiveAgent, ScorebuddyCX
no first choicenothing named
DeepSeek V4 FlashZendesk QA
Four alternativesEvaluAgent, Observe.AI, ScorebuddyCX, Voxjar
against: Calabrio ONE
EvaluAgentChanged
Three alternativesPlayvox, ScorebuddyCX, Zendesk QA
against: MaestroQA
MaestroQA
Six alternativesKlaus, Level AI, Observe.AI, Playvox, ScorebuddyCX, Tethr
against: CallMiner Eureka
Voxjar
Three alternativesCloudTalk, Insightful, ScorebuddyCX
against: Klaus, Level AI, MaestroQA, Observe.AI, Zendesk QA
no first choiceagainst: CallRail, Comms Coach GovWorks, Five9 Quality Management, Nextiva Contact Center, QEval, Zendesk
Llama 4 Maverickno first choiceKlausChangedno first choiceScorebuddy
Three alternativesLiveAgent, RingEX, Zoho Desk
against: MaestroQA, Observe.AI
no first choicenothing named
Qwen 3.7 FlashVoxjar
Three alternativesEvaluAgent, Insightful, Zendesk QA
against: NICE CXone Quality Management, Observe.AI, Verint Quality Management
VoxjarHeld
Two alternativesEvaluAgent, Zendesk QA
against: MaestroQA, Observe.AI
Level AI, Observe.AI
Five alternativesC2Perform, InflectionCX, Playvox, Tethr, Zendesk QA
Insightful, Voxjar
Two alternativesGoogle Sheets/Excel, Scorebuddy
against: NICE CXone Quality Management, Verint Quality Management
no first choicenothing named
Kimi K2EvaluAgent
Three alternativesMaestroQA, Observe.AI, Zendesk QA
Zendesk QAChanged
Two alternativesEvaluAgent, ScorebuddyCX
against: MaestroQA
no first choice
Ten alternativesBalto, CallMiner Eureka, EvaluAgent, Genesys Cloud Quality Management, MaestroQA, Observe.AI, Playvox, ScorebuddyCX, Talkdesk Quality Management, Zendesk QA
Voxjar
Three alternativesEvaluAgent, Playvox, Zendesk QA
against: MaestroQA
no first choiceagainst: Avaya Aura Elite
GLM 4.7 FlashXPlayvox QM, ScorebuddyCX
Two alternativesCloudTalk, EvaluAgent
VoxjarChanged
Five alternativesEvaluAgent, Level AI, Observe.AI, QEval, Zendesk QA
AmplifAI
Fourteen alternativesBalto, Convin, Cresta, Dialpad QA, Five9 Quality Management, Genesys Cloud Quality Management, Medallia Agent Connect, NICE Quality Management, Observe.AI, Playvox, ScorebuddyCX, Talkdesk QA, Tethr, Zendesk QA
Voxjar
Five alternativesCloudTalk, LiveAgent, Scorebuddy, VereQuest, Zoho Desk
no first choiceagainst: Five9 Quality Management
MiniMax M2.5MaestroQA
Two alternativesConvin, Scorebuddy
Enterpret, MaestroQAChanged
One alternativeZendesk QA
Genesys Cloud Quality Management, NICE CXone Quality Management
Five alternativesEvaluAgent, Five9 Quality Management, Klaus, Level AI, MaestroQA
MaestroQA, ScorebuddyCX
Two alternativesInsightful, VQ Online
no first choicenothing named
GPT-6 LunaEvaluAgent
Three alternativesLevel AI, ScorebuddyCX, Zendesk QA
Zendesk QAChanged
One alternativeRippit
no first choice
Nine alternativesCalabrio ONE, CallMiner Eureka, EvaluAgent, Genesys Cloud Quality Management, MaestroQA, NICE CXone Quality Management, Observe.AI, Verint Quality Management, Zendesk QA
Voxjar
One alternativeEvaluAgent
no first choiceagainst: Microsoft Contact Center Intelligence's preview QA, Zoom Contact Center auto-scoring
Muse Glimmer 30BPlayvox QM, Scorebuddy
Three alternativesBalto, CloudTalk, EvaluAgent
EvaluAgentChanged
Eight alternativesCresta, Level AI, MaestroQA, Observe.AI, Rippit, Talkdesk QM Assist, Voxjar, Zendesk QA
NICE CXone QM
Nine alternativesBalto, Genesys Cloud Quality Management, Playvox, ReflexAI Assure, SQM CX Quality™, ScorebuddyCX, Talkdesk Quality Management, Verint Quality Management, my.SQM Auto QA
Voxjar
Six alternativesAsterisk, Convin, Insightful, Orecx, Scorebuddy, VICIdial
no first choiceagainst: Convin, Five9 Quality Management
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 17:34yes97 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:42yes37 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 10:23yes1125 s
Direct recommendationPerplexity Sonarsonar2026-11-01 12:05yes104 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:40yes59 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 16:14yes55 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 10:28yes2227 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 11:10yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 12:32yes522 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 09:58yes1745 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 14:00yes1629 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:36yes2453 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 16:39yes316 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 17:12yes921 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:55yes179 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 12:27yes35 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 17:14yes623 s
ParaphrasePerplexity Sonarsonar2026-11-01 14:43yes103 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 14:56yes55 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 12:58yes55 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:15yes2529 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:00yes52 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 09:06yes1063 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 17:09yes2026 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 15:01yes1518 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:45yes942 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 15:12yes214 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 14:35yes1218 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:04yes98 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:01yes510 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 13:44no017 s
ComparativePerplexity Sonarsonar2026-11-01 12:40yes107 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:54yes814 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 14:58yes58 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 13:24yes2435 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:27yes52 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 12:11yes1528 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 13:57yes2036 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 14:29yes1947 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 16:08yes926 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 13:05yes825 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 13:21yes1529 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 10:35yes98 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:21yes34 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 14:52yes417 s
Budget constrainedPerplexity Sonarsonar2026-11-01 11:40yes103 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 13:58yes1614 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 12:32yes54 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 13:30yes2425 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:47yes53 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 14:32yes1446 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:15yes1325 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:49yes1432 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 13:39yes521 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 09:06yes210 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 16:13yes1521 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 10:20no08 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 13:31no06 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 15:02no019 s
Scale constrainedPerplexity Sonarsonar2026-11-01 10:50yes106 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 17:32yes513 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 17:24no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 16:29yes2457 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:53yes53 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 14:10yes523 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 09:09yes580 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:58yes2236 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:26no027 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 15:51yes314 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:07yes1424 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 08:58yes168 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 13:25yes24 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 14:59no014 s
Negative framingPerplexity Sonarsonar2026-11-01 09:43yes105 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 15:22yes2014 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 16:02yes56 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:43yes2442 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 16:06yes55 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 17:02no033 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 14:36yes2545 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 15:42yes2140 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 10:36yes2056 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 16:12yes316 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 14:45yes2230 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

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Category-scoped readings
Calabrio read as Calabrio ONE
Calabrio ONE read as Calabrio ONE
Calabrio One read as Calabrio ONE
CallMiner read as CallMiner Eureka
CallMiner (Eureka) read as CallMiner Eureka
Convin.ai read as Convin
Dialpad read as Dialpad Ai Contact Center
Five9 read as Five9 Quality Management
Genesys read as Genesys Cloud Quality Management
Genesys Cloud read as Genesys Cloud Quality Management
Genesys Cloud CX read as Genesys Cloud Quality Management
Genesys Cloud CX Quality Management read as Genesys Cloud Quality Management
NICE read as NICE CXone Quality Management
NICE CXone read as NICE CXone Quality Management
Nice read as NICE CXone Quality Management
Nice CXone read as NICE CXone Quality Management
Talkdesk read as Talkdesk Quality Management
Verint read as Verint Quality Management
Zendesk QA/Klaus read as Zendesk QA
Unresolved, counted raw
Avaya Aura Elite
Calabrio QM/Quality Management
Comms Coach GovWorks
Dialpad QA
EvalsAgent
FreeSWITCH
GetVoIP
Hiya Connect
InflectionCX
Microsoft Contact Center Intelligence's preview QA
Nice Ltd
ReflexAI Assure
SQM CX
SessionTalk
Talkdesk QA
TeleVantage
Twilio
Verint Monet
Zoom Contact Center auto-scoring
Discontinued, still offered
No shut-down product was recommended here.
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