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

Contact center quality assurance for enterprise buyers

Asked as “contact center quality assurance tool”, and as “support QA and conversation review platform”, on behalf of an enterprise B2B company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
16%
Contested · EvaluAgent 10%
16MaestroQA10EvaluAgent08NICE CXone Quality Management66others

16% of first choices, contested.

Since October 2026▲+1Since October 2026: 15% → 16%, +1 point. Inside the 11-point floor: within noise.MaestroQA held the lead, +1 point on 15%, inside the 11-point floor.

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 an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01MaestroQA16%10%21accepted challenger▲+1Since October 2026: 15% → 16%, +1 point. Inside the 11-point floor: within noise.15% → 16%
02EvaluAgent10%4%25accepted challenger▲+1Since October 2026: 9% → 10%, +1 point. Inside the 11-point floor: within noise.9% → 10%
03NICE CXone Quality Management8%24%38accepted challenger▼−5Since October 2026: 13% → 8%, −5 points. Inside the 11-point floor: within noise.13% → 8%
04ScorebuddyCX8%7%14accepted challenger▲+6Since October 2026: 2% → 8%, +6 points. Inside the 11-point floor: within noise.2% → 8%
05Observe.AI6%6%34accepted challenger▼−3Since October 2026: 9% → 6%, −3 points. Inside the 11-point floor: within noise.9% → 6%
06Genesys Cloud Quality Management6%8%26accepted challenger▼−5Since October 2026: 11% → 6%, −5 points. Inside the 11-point floor: within noise.11% → 6%
07Salesforce Service Cloud6%19%16accepted challenger=heldSince October 2026: 6% → 6%, ±0 points. Inside the 11-point floor: within noise.6% → 6%
08Playvox4%8%12accepted challenger▲+4Since October 2026: 0% → 4%, +4 points. Inside the 11-point floor: within noise.0% → 4%
09Calabrio ONE2%7%15accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
10Verint Quality Management2%21%19accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
11Zendesk QA2%30%20criticized challenger▼−2Since October 2026: 4% → 2%, −2 points. Inside the 11-point floor: within noise.4% → 2%
Show the four products at 0%, ordered by negative rate
14Talkdesk Quality Management0%17%12accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
13CallMiner Eureka0%14%22accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
15Five9 Quality Management0%10%10accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
12Level AI0%0%20accepted 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.
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
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
02
03
04
05
G06
07
P08
09
10
11
12
13
T14
15
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01MaestroQA16%
02EvaluAgent10%
03NICE CXone Quality Management8%
04ScorebuddyCX8%
05Observe.AI6%
06Genesys Cloud Quality Management6%
07Salesforce Service Cloud6%
08Playvox4%
09Calabrio ONE2%
10Verint Quality Management2%
11Zendesk QA2%
12Level AI0%
13CallMiner Eureka0%
14Talkdesk Quality Management0%
15Five9 Quality Management0%

What they warned about

One of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.20, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, 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.
NICE CXone Quality Management
24%
9 of 38 labels negative · 8 of 14 models
“NICE CXone, Verint, and comparable suites may be sensible when consolidating routing, WFM, recording, and QA; they can be excessive if the enterprise only needs quality management” Perplexity Sonar, negative prompt
Zendesk QA
30%
6 of 20 labels negative · 4 of 14 models · 1 hard negative
“Purely manual or low-automation QA tools (e.g., basic scorecards in Zendesk QA, Zoho Desk, or simple add-ons like LiveAgent or RingEX QA features)” Grok 4.20, negative prompt
Verint Quality Management
21%
4 of 19 labels negative · 4 of 14 models
“While NICE CXone, Verint, and Genesys Cloud Quality Management are industry standards, they represent a category of tool that many modern enterprises are moving away from” Qwen 3.7 Flash, negative prompt
CallMiner Eureka
14%
3 of 22 labels negative · 3 of 14 models
“CallMiner and similar tools can support sophisticated enterprise analytics, but advanced categories and dashboards may require substantial ongoing refinement and specialist expertise.” Perplexity Sonar, negative 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

77 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. 995 links across 230 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.

42 answers · 74 citations · 12 models
vendor site · Software Advice37 answers · 40 citations · 9 models
vendor site · Capterra33 answers · 39 citations · 11 models
23 answers · 33 citations · 9 models
23 answers · 23 citations · 11 models
vendor site · GetApp19 answers · 26 citations · 10 models
vendor site · CloudTalk19 answers · 19 citations · 9 models
vendor site · Guideflow18 answers · 18 citations · 7 models
vendor site · Genesys17 answers · 19 citations · 9 models
vendor site · Verint16 answers · 33 citations · 10 models
vendor site · Kapiche16 answers · 18 citations · 10 models
vendor site · Voxjar14 answers · 23 citations · 9 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
MaestroQA maestroqa.com16%728804575
EvaluAgent evaluagent.com10%103170332611
NICE nice.com
NICE CXone Quality Management 8%, NICE CXone QM 2%
10%62165,000567,279395,488 company$697,825773
ScorebuddyCX scorebuddycx.com8%4806,7670
Observe.AI observe.ai6%922,400734,8413
Genesys Cloud Quality Management genesys.com6%4060,178$216,00079
Salesforce parent site
Salesforce Service Cloud 6%
6%223550,00060,632
VereQuest verequest.com
VereQuest 2%, VereQuest VQ Online 2%, Verequest Ultra 2%
6%6
Playvox4%5901
VQ Online4%

Google's top ten for the two searches hold 15 sites; 2 of them are among the sites the models cited here (g2.com, thelevel.ai). 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 an enterprise B2B company?”Paraphrase“Which support QA and conversation review platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade contact center quality assurance tools and how do they differ?”Budget-constrained“What is the best contact center quality assurance tool for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a contact center quality assurance tool. What should we look at?”Negative“Which contact center quality assurance tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5AmplifAI
Three alternativesCalabrio ONE, CallMiner Eureka, NICE CXone Quality Management
Observe.AI, Verint Quality ManagementChanged
Two alternativesCallMiner Eureka, Level AI
NICE CXone Quality Management
Five alternativesAmplifAI, Balto, Convin, Cresta, Genesys Cloud Quality Management
Genesys Cloud Quality Managementagainst: CloudTalk, NICE CXone Quality Managementno first choicenothing named
GPT-5.4 miniScorebuddyCX
Five alternativesEvaluAgent, Genesys Cloud Quality Management, Salesforce Service Cloud, Talkdesk Quality Management, my.SQM Auto QA
Observe.AIChanged
Four alternativesCallMiner Eureka, Level AI, ScorebuddyCX, Verint Quality Management
NICE CXone Quality Management, Verint Quality Management
One alternativeCalabrio QM Intelligence / Calabrio Quality Management
ScorebuddyCX
Two alternativesEvaluAgent, Genesys Quality Management
against: NICE CXone Quality Management
no first choicenothing named
Gemini 3.5 FlashMaestroQA
Five alternativesGong, NICE CXone Quality Management, Observe.AI, Verint Quality Management, Zendesk QA
MaestroQAHeld
Three alternativesLevel AI, Playvox, Zendesk QA
Genesys Cloud Quality Management, NICE CXone Quality Management
Four alternativesCalabrio ONE, CallMiner Eureka, Observe.AI, Verint Quality Management
NICE CXone Quality Management, Verint Open Platform
Two alternativesCalabrio ONE, EvaluAgent
no first choicenothing named
Perplexity SonarNICE CXone Quality Management
Four alternativesCallMiner Eureka, Level AI, Observe.AI, Salesforce Service Cloud
MaestroQAChanged
Five alternativesCallMiner Eureka, EvaluAgent, Level AI, NICE CXone Quality Management, Zendesk QA
against: Medallia, Qualtrics, Sprinklr
no first choice
Thirteen alternativesBalto, Calabrio ONE, CallMiner Eureka, EvaluAgent, Genesys Cloud Quality Management, Level AI, NICE CXone Quality Management, Observe.AI, Playvox, Rippit, formerly MaestroQA, Scorebuddy, Verint CX Automation, Zendesk QA
Verequest Ultra
Two alternativesCallMiner Eureka, NICE CXone Quality Management
against: Zendesk QA
no first choiceagainst: CallMiner Eureka, NICE CXone Quality Management, Verint Quality Management, Zendesk QA
Grok 4.20Genesys Cloud Quality Management
Two alternativesFive9 Quality Management, Playvox QM
against: Dialpad Support, NICE CXone Quality Management, Zendesk QA
MaestroQAChanged
Five alternativesCalabrio ONE, Level AI, Observe.AI, Playvox, Zendesk QA
against: Gong
Five9 Intelligent Cloud Contact Center Platform
Six alternativesGenesys Cloud Quality Management, Kapiche, Level AI, Observe.AI, Salesforce Service Cloud, ScorebuddyCX
SuccessKPI
Three alternativesFive9 Intelligent Cloud Contact Center Platform, Genesys Cloud Quality Management, NICE CXone Quality Management
no first choice
Five alternativesEvaluAgent, Playvox QM, Talkdesk Quality Management, Verint Systems, Zendesk QA
against: Five9 Quality Management, NICE Workforce Excellence / Enlighten, Scorebuddy
against: AWS Transcribe, C2Perform, CallMiner Eureka, Google Cloud Speech-to-Text, Klaus, LiveAgent, NICE CXone Quality Management, Observe.AI, RingEX, ScorebuddyCX, Verint Quality Management, Zendesk QA, Zoho Desk
Mistral SmallSalesforce Service Cloud
Four alternativesCallMiner Eureka, EvaluAgent, Playvox QM, ScorebuddyCX
MaestroQAChanged
Four alternativesLevel AI, NICE CXone Quality Management, Observe.AI, Zendesk QA
NICE Quality Management
Five alternativesCalabrio ONE, MaestroQA, Medallia Agent Connect, Observe.AI, Sprinklr Service
EvaluAgent, VereQuestagainst: NICE CXone Quality Managementno first choiceagainst: MaestroQA, Salesforce Service Cloud
DeepSeek V4 FlashPlayvox, ScorebuddyCX
Three alternativesMaestroQA, NICE CXone Quality Management, Observe.AI
GongChanged
Five alternativesChorus by ZoomInfo, Clari Copilot, Level AI, NICE CXone Quality Management, Observe.AI
NICE CXone Quality Management
Nine alternativesCalabrio ONE, Five9 Quality Management, Genesys Cloud Quality Management, Level AI, MaestroQA, Observe.AI, ScorebuddyCX, Talkdesk Quality Management, Verint Quality Management
VQ Online
Two alternativesCallMiner Eureka, NICE CXone Quality Management
against: Playvox
no first choiceagainst: Calabrio Quality Management, NICE CXone Quality Management
Llama 4 MaverickCalabrio ONE, NICE Quality Management
Two alternativesCallMiner Eureka, Salesforce Service Cloud
no first choiceChangedno first choiceEvaluAgentno first choiceagainst: LiveAgent, Salesforce Service Cloud, Talkdesk Quality Management
Qwen 3.7 FlashPlayvox
Three alternativesKlaus, Level AI, Salesforce Service Cloud
against: Genesys Cloud Quality Management
MaestroQAChanged
Three alternativesEvaluAgent, Level AI, Observe.AI
Level AI
Four alternativesConvin, Dialpad Support, EvaluAgent, Salesforce Service Cloud
EvaluAgent
Three alternativesGenesys Cloud Quality Management, Klearcom, MaestroQA
against: Observe.AI, Sprinklr, Zendesk QA
no first choiceagainst: CallMiner Eureka, Genesys Cloud Quality Management, NICE CXone Quality Management, Verint Quality Management
Kimi K2MaestroQA
Four alternativesGenesys Cloud Quality Management, NICE CXone Quality Management, Observe.AI, Verint Quality Management
against: BeyondQA, OttoQA
ScorebuddyCXChanged
One alternativeMaestroQA
against: Zendesk QA
NICE CXone QM
Six alternativesBalto, Calabrio Quality Management, Five9 Quality Management, Genesys Cloud QM, Level AI, Verint Workforce Optimization
VQ Online
One alternativeVoxjar
against: Calabrio ONE, MaestroQA, NICE CXone Quality Management, Verint Quality Management
NICE CXone Quality Management, Observe.AI
Two alternativesCallMiner Eureka, EvaluAgent
nothing named
GLM 4.7 FlashXSalesforce Service Cloud
Four alternativesBalto, Genesys Cloud Quality Management, Observe.AI, Verint Quality Management
Zendesk QAChanged
Three alternativesMaestroQA, NICE CXone Quality Management, Observe.AI
no first choice
Seven alternativesCalabrio Quality Management, Dialpad Ai Contact Center, EvaluAgent, Genesys Cloud Quality Management, Level AI, Salesforce Service Cloud, Talkdesk Quality Management
Voxjar
One alternativePlayvox
against: Talkdesk Quality Management
no first choicenothing named
MiniMax M2.5NICE CXone Quality Management, Salesforce Service Cloud
Six alternativesEvaluAgent, Genesys Cloud Quality Management, Kapiche, Observe.AI, ScorebuddyCX, SuccessKPI
MaestroQAChanged
Four alternativesEvaluAgent, NICE CXone Quality Management, Observe.AI, Playvox QM
CallMiner Eureka
Eight alternativesCalabrio ONE, Cresta, Five9 Quality Management, Playvox Quality Management, Salesforce Service Cloud Voice, ScorebuddyCX, Sprinklr, Talkdesk Quality Management
no first choiceno first choiceagainst: Genesys PureConnect, Legacy Avaya systems, Salesforce Service Cloud
GPT-6 LunaVerint Quality Bot
Three alternativesGenesys Cloud Quality Management, NICE CXone Quality Management, Observe.AI
RippitChanged
Two alternativesObserve.AI, Zendesk QA
NICE CXone Quality Management, Verint Quality Management
Five alternativesCalabrio ONE, Five9 Agentic Quality Management, Genesys Cloud Quality Management, Observe.AI, Talkdesk Quality Management
EvaluAgent
Two alternativesGenesys Cloud Quality Management, NICE CXone Quality Management
no first choice
Four alternativesCallMiner Eureka, NICE CXone Quality Management, Observe.AI, Verint Quality Management
against: Amazon Connect Contact Lens generative-AI evaluations, Microsoft Contact Center Intelligence quality assurance
Muse Glimmer 30BGenesys Cloud Quality Management, NICE CXone QM
Two alternativesTalkdesk Quality Management, Verint Quality Management
EvaluAgent, Rippit, formerly MaestroQAChanged
Two alternativesSalesforce Service Cloud, Zendesk QA
NICE CXone QM
Seven alternativesCallMiner Eureka, Cresta, Five9 Quality Management, Genesys Cloud Quality Management, Observe.AI, Talkdesk Quality Management, Verint Quality Management
VereQuest VQ Online
One alternativeVoxjar
no first choiceagainst: EvaluAgent
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 17:06yes169 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 15:14yes25 s
Direct recommendationGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 11:39no017 s
Direct recommendationPerplexity Sonarsonar2026-11-01 16:16yes105 s
Direct recommendationGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:02yes1119 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-11-01 11:40yes56 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:31yes2230 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 16:15yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 11:48yes534 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-11-01 09:44yes25122 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 13:23yes1826 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 16:38yes1463 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-11-01 09:46yes414 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 13:20yes2025 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 09:08yes108 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 11:49yes26 s
ParaphraseGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 08:56no017 s
ParaphrasePerplexity Sonarsonar2026-11-01 10:48yes105 s
ParaphraseGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:24yes1514 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-11-01 13:16yes55 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 13:23yes2521 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 15:27yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 17:16yes535 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:04yes2029 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 09:46yes2529 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 11:51yes1848 s
ParaphraseGPT-6 Lunagpt-6-luna2026-11-01 14:55yes321 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 08:34yes2334 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 11:17yes1513 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 17:27yes77 s
ComparativeGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:54yes1033 s
ComparativePerplexity Sonarsonar2026-11-01 11:46yes106 s
ComparativeGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 15:02yes1019 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-11-01 16:28yes1412 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 13:56yes2367 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 08:42yes53 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 16:33yes1024 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:12yes2058 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 17:32yes24137 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 16:50yes1959 s
ComparativeGPT-6 Lunagpt-6-luna2026-11-01 11:52yes820 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 09:20yes1427 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 16:21yes158 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 14:19yes56 s
Budget constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 09:13yes919 s
Budget constrainedPerplexity Sonarsonar2026-11-01 10:47yes103 s
Budget constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:55yes1512 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 14:45yes56 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 14:39yes2433 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 10:04yes84 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 17:01yes924 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 10:09yes2233 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:50yes24121 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 14:59yes1047 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-11-01 10:31yes215 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 12:42yes2029 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 08:48yes1814 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:26yes29 s
Scale constrainedGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 15:25no019 s
Scale constrainedPerplexity Sonarsonar2026-11-01 12:36yes1010 s
Scale constrainedGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:19yes1022 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-11-01 13:12no08 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 11:35yes1584 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 15:47yes54 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 09:26no031 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-11-01 12:25yes2460 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 12:01no025 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 12:06yes1028 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-11-01 14:26yes426 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 14:19yes1321 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-11-01 12:36yes1911 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-11-01 09:41yes36 s
Negative framingGemini 3.5 Flashgemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version)2026-11-01 12:02no018 s
Negative framingPerplexity Sonarsonar2026-11-01 15:40yes106 s
Negative framingGrok 4.20spacexai/grok-4.20-non-reasoning via xai2026-11-01 16:51yes1530 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-11-01 10:27yes56 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-11-01 12:57yes2236 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-11-01 09:51yes105 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-11-01 13:13yes1042 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-11-01 12:08yes2566 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-11-01 13:43yes24232 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-11-01 14:39yes2473 s
Negative framingGPT-6 Lunagpt-6-luna2026-11-01 17:23yes330 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-11-01 11:29yes2440 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 (Verint) read as Calabrio ONE
CallMiner 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 (Quality Management) 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 CXone (with Quality Management) read as NICE CXone Quality Management
Talkdesk read as Talkdesk Quality Management
Talkdesk (via Calabrio QM Integration) read as Talkdesk Quality Management
Verint read as Verint Quality Management
Verint (including Calabrio ONE capabilities) read as Verint Quality Management
Verint Automated Quality Management read as Verint Quality Management
Unresolved, counted raw
AWS Transcribe
Airframe
Amazon Connect Contact Lens generative-AI evaluations
BeyondQA
Calabrio QM Intelligence / Calabrio Quality Management
Dialpad AiQ
Five9 Agentic Quality Management
Five9 Intelligent Cloud
Genesys Cloud QM
Genesys Quality Management
Glia
Google Cloud Speech-to-Text
Klearcom (formerly Verint Quality Management)
Legacy Avaya systems
Microsoft Contact Center Intelligence quality assurance (preview)
NICE Workforce Excellence / Enlighten
ReflexAI
VereQuest VQ Online
Verint AQM
Verint CX Automation
Verint Open Platform
Verint Quality Bot
Verint Systems
Verint Workforce Optimization
Zoom Contact Center Quality Management
Discontinued, still offered
No shut-down product was recommended here.
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