AI Indexes
GTM AI Index
October 2026 Edition · The permanent record of this edition. The unqualified address always carries the latest edition.
Index › Customer › Contact center QA › Small business › October 2026 Edition

Contact center quality assurance for small business buyers

Asked as “contact center quality assurance tool”, and as “support QA and conversation review platform”, on behalf of a small B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
19%
Contested · CloudTalk 15%
19EvaluAgent15CloudTalk13Voxjar54others

19% of first choices, contested.

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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01EvaluAgent19%2%50accepted challenger
02CloudTalk15%0%35accepted challenger
03Voxjar13%0%20accepted challenger
04Zendesk QA9%0%32accepted challenger
05Scorebuddy7%8%39accepted challenger
06Dialpad6%12%17accepted challenger
07Playvox QM4%0%14accepted challenger
08Balto2%19%16accepted challenger
09MaestroQA2%62%13criticized challenger
Show the three products at 0%, ordered by negative rate
12NICE CXone Quality Management0%93%15criticized challenger
10Verint Quality Management0%90%10criticized challenger
11Observe.AI0%85%13criticized challenger
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
02
03
04
S05
06
P07
08
09
10
11
12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01EvaluAgent19%
02CloudTalk15%
03Voxjar13%
04Zendesk QA9%
05Scorebuddy7%
06Dialpad6%
07Playvox QM4%
08Balto2%
09MaestroQA2%
10Verint Quality Management0%
11Observe.AI0%
12NICE CXone Quality Management0%

What they warned about

Zero of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, 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
93%
14 of 15 labels negative · 9 of 14 models · 9 hard negative
“What to avoid: **Omnichannel‑heavy suites** that require integrating voice, chat, email, social, and video into a single workflow (e.g., NICE CXone, Verint, Genesys, Talkdesk, Dialpad, Observe.AI, Gong, CallMiner).” GLM 4.7 FlashX, negative prompt
Observe.AI
85%
11 of 13 labels negative · 7 of 14 models · 4 hard negative
“built for large contact centers with heavy call volume; overkill and overpriced for a small team” DeepSeek V4 Flash, paraphrase prompt
Verint Quality Management
90%
9 of 10 labels negative · 6 of 14 models · 6 hard negative
“Enterprise-Grade Platforms (NICE CXone, Verint, Calabrio) ... actively wrong for small teams” DeepSeek V4 Flash, negative prompt
CallMiner Eureka
78%
7 of 9 labels negative · 6 of 14 models · 3 hard negative
“large-scale Conversational Intelligence platforms like CallMiner (these are complex, expensive, and require dedicated administrators)” Gemini 3.5 Flash, scale prompt

What they cite

Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

79 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. 973 links across 165 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.

60 answers · 101 citations · 12 models
vendor site · CloudTalk56 answers · 86 citations · 12 models
vendor site · Guideflow51 answers · 51 citations · 11 models
43 answers · 54 citations · 12 models
vendor site · Voxjar30 answers · 49 citations · 9 models
vendor site · GetApp26 answers · 28 citations · 10 models
25 answers · 27 citations · 11 models
vendor site · Quo23 answers · 23 citations · 12 models
22 answers · 23 citations · 9 models
vendor site · Dialpad20 answers · 21 citations · 7 models
20 answers · 21 citations · 10 models
vendor site · Zendesk18 answers · 22 citations · 12 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
EvaluAgent evaluagent.com19%109170332611
CloudTalk cloudtalk.io15%3582,9006295,515$1,909119
Voxjar voxjar.com13%29500445
Zendesk zendesk.com
Zendesk QA 9%
9%8474,0003,5665,365,445 company$16,181637
Scorebuddy7%3904
Dialpad dialpad.com6%12140,5009056,588,510$1,8421209
ScorebuddyCX scorebuddycx.com6%2506,7670
Playvox QM4%0
Convin convin.ai4%17
Balto balto.ai2%5060,5004,1205,3495

Google's top ten for the two searches hold 15 sites; 4 of them are among the sites the models cited here (dialpad.com, g2.com, thecxlead.com, zendesk.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 small B2B company?”Paraphrase“Which support QA and conversation review platform would you recommend to a small business that sells to other businesses?”Comparative“What are the top contact center quality assurance tools for a small team and how do they differ?”Budget-constrained“What is the best contact center quality assurance tool for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a contact center quality assurance tool. What should we look at?”Negative“Which contact center quality assurance tools should a small business avoid or be cautious about?”
Claude Haiku 4.5CloudTalk
Four alternativesCalabrio ONE, Convin, Gong, Quo
Front, TeamSupportChanged
One alternativeQuo
EvaluAgent
Seven alternativesBalto, CloudTalk, Convin, Dialpad, Enthu.AI, Scorebuddy, Zendesk
against: CallMiner Eureka, Five9 Quality Management
EvaluAgent
Five alternativesCloudTalk, Convin, Dialpad, Quo, Scorebuddy
no first choiceagainst: AmplifAI, CallMiner Eureka, Five9 Quality Management, NICE CXone Quality Management, Qualtrics
GPT-5.4 miniScorebuddyCX
Two alternativesEvaluAgent, Zendesk QA
MaestroQAChanged
Two alternativesHubSpot Service Hub, Zendesk for Customer Service
ScorebuddyCX
Six alternativesBalto, CloudTalk, EvaluAgent, MaestroQA, Talkdesk, Zendesk QA
against: Salesforce Service Cloud
ScorebuddyCX
One alternativeLiveAgent
no first choicenothing named
Gemini 3.5 FlashVoxjar
Two alternativesScorebuddy, Zendesk QA
against: Gong
Zendesk QAChanged
Three alternativesEvaluAgent, Front, Hiver
against: NICE CXone Quality Management, Playvox, Verint Quality Management
Zendesk QA
Four alternativesEvaluAgent, Scorebuddy, Supportman, Voxjar
against: MaestroQA, NICE CXone Quality Management, Observe.AI, Rippit, Verint Quality Management
Voxjar
Four alternativesAprikot, EvaluAgent, Quo, Zendesk QA
against: NICE CXone Quality Management, Observe.AI, Rippit
Zendesk QA
Three alternativesEvaluAgent, Kaizo, Voxjar
against: CallMiner Eureka, NICE CXone Quality Management, Verint Quality Management
against: Balto, Cresta
Perplexity SonarScorebuddy
Two alternativesCloudTalk, EvaluAgent
CloudTalkChanged
Two alternativesScorebuddy, Zendesk QA
Scorebuddy
Three alternativesBalto, CloudTalk, EvaluAgent
against: Zendesk
Scorebuddy
Two alternativesEvaluAgent, Zendesk Quality Assurance
no first choiceagainst: CallMiner Eureka, Capacity, Level AI, Observe.AI, QEval AI Platform, Verint-style enterprise QA suites
Grok 4.1 FastCloudTalk, Playvox QM
Three alternativesBalto, EvaluAgent, Scorebuddy
VoxjarChanged
One alternativeZendesk QA
CloudTalk, EvaluAgent
Two alternativesPlayvox QM, Scorebuddy
against: Dialpad
EvaluAgent
Six alternativesCYF Quality, CloudTalk, Dialpad, Scorebuddy, Voxjar, Zendesk QA
no first choiceagainst: AmplifAI, Five9 QM, Genesys Cloud CX, Level AI, MaestroQA, NICE CXone Quality Management, Observe.AI, Salesforce Service Cloud (Agentforce) with QA extensions, Verint Quality Management
Mistral SmallCloudTalk
Two alternativesEvaluAgent, Scorebuddy
Enthu.AIChanged
Two alternativesBalto, Jiminny
EvaluAgent, Scorebuddy
Two alternativesConvin.ai, Dialpad
EvaluAgentno first choiceagainst: EvaluAgent, Scorebuddy
DeepSeek V4 FlashEvaluAgent
Four alternativesDialpad Ai Contact Center, Playvox, Voxjar, Zendesk QA
Zendesk QAChanged
One alternativeEvaluAgent
against: Five9 Quality Management, MaestroQA, Observe.AI, SQM
EvaluAgent, Scorebuddy
Two alternativesCloudTalk, Playvox QM
against: MaestroQA
EvaluAgent
Five alternativesCloudTalk, Convin.ai, Dialpad, Scorebuddy, Zendesk QA
EvaluAgent
Four alternativesPlayvox, Scorebuddy, Voxjar, Zendesk QA
against: Calabrio ONE, MaestroQA, NICE CXone Quality Management, Observe.AI, Verint Quality Management
Llama 4 MaverickBaltoKlausChangedEvaluAgent
Four alternativesCloudTalk, Convin.ai, Dialpad, Scorebuddy
EvaluAgentno first choiceagainst: Calabrio ONE, NICE CXone Quality Management, Verint Quality Management
Qwen 3.7 FlashScorebuddyCX
Three alternativesBalto, CloudTalk, Zendesk QA
against: NICE CXone Quality Management, Verint Quality Management
VoxjarChanged
Two alternativesScorebuddy, Zendesk QA
against: MaestroQA
Balto
Two alternativesScorebuddy, Squaretalk
Convin
Three alternativesCloudTalk, EvaluAgent, Scorebuddy
against: NICE CXone Quality Management, Verint Quality Management
no first choicenothing named
Kimi K2Scorebuddy
Two alternativesEvaluAgent, Zendesk QA
against: Balto
Voxjar, Zendesk QAChanged
Two alternativesEvaluAgent, Playvox
EvaluAgent, Voxjar
Four alternativesCloudTalk, Playvox QM, ScorebuddyCX, Zendesk QA
CloudTalk, Dialpad
Two alternativesEvaluAgent, Playvox QM
CloudTalk, Dialpad
Three alternativesEvaluAgent, Voxjar, Zendesk QA
against: CallMiner Eureka, NICE CXone Quality Management, Observe.AI, Scorebuddy, Talkdesk
against: AmplifAI, Capacity, Five9 Quality Management, Level AI, MaestroQA, NICE CXone Quality Management, Nextiva's higher tiers, Observe.AI, Scorebuddy, Sprinklr, Talkdesk
GLM 4.7 FlashXPlayvox QM
Three alternativesCloudTalk, EvaluAgent, Scorebuddy
against: Balto, Gong, Observe.AI
QuoChanged
Three alternativesCloudTalk, Gong, Zendesk QA Add‑On
CloudTalk
Five alternativesBalto, EvaluAgent, Playvox QM, Scorebuddy, Voxjar
VereQuest
Three alternativesCloudTalk, Dialpad, Playvox QM
no first choiceagainst: CallMiner Eureka, Dialpad, Genesys Cloud CX, Gong, NICE CXone Quality Management, Observe.AI, Talkdesk, Verint Quality Management
MiniMax M2.5Scorebuddy
Two alternativesCloudTalk, EvaluAgent
VoxjarChanged
Three alternativesKaizo, Zendesk QA, eesel AI
CloudTalk, Voxjar
Four alternativesEvaluAgent, Playvox QM, Talkdesk, Zendesk QA
against: MaestroQA
CloudTalk, Dialpad
One alternativeEvaluAgent
Genesys Cloud CX, Talkdesknothing named
GPT-6 LunaEvaluAgentZendesk QAChanged
One alternativeIntercom
EvaluAgent
Four alternativesMaestroQA, Rippit, ScorebuddyCX, Zendesk QA
CloudTalk, EvaluAgent
One alternativeGoogle Forms
no first choiceagainst: Five9 Quality Management, Genesys Cloud CX, Observe.AI
Muse Glimmer 30BEvaluAgent
Four alternativesBalto, CloudTalk, Playvox QM, Scorebuddy
against: Genesys Cloud CX
VoxjarChanged
One alternativeZendesk QA
CloudTalk, Playvox QM
Three alternativesBalto, EvaluAgent, Scorebuddy
Convin
Five alternativesCloudTalk, EvaluAgent, Playvox Quality Management, Scorebuddy, Voxjar
no first choiceagainst: CallMiner Eureka, Level AI, NICE CXone Mpower, NICE CXone 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. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:11yes98 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-04 23:53yes34 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:37yes1437 s
Direct recommendationPerplexity Sonarsonar2026-10-04 22:40yes133 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 22:44yes158 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-10-05 00:42yes106 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:14yes1628 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:37yes53 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 01:00yes1865 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:12yes1231 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:14yes1226 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 23:02yes1328 s
Direct recommendationGPT-6 Lunagpt-6-luna2026-10-05 00:31yes117 s
Direct recommendationMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:39yes1118 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:25yes99 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:31yes23 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-10-04 23:02yes1426 s
ParaphrasePerplexity Sonarsonar2026-10-05 00:08yes183 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:43yes1916 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-10-05 01:01yes53 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:18yes2024 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:26yes53 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:40yes2052 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:00yes2448 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:40yes1423 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-04 23:08yes2027 s
ParaphraseGPT-6 Lunagpt-6-luna2026-10-04 22:48yes219 s
ParaphraseMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:09yes1920 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:38yes169 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:08yes410 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:15yes1426 s
ComparativePerplexity Sonarsonar2026-10-04 23:35yes144 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:55yes1810 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-10-04 23:17yes2110 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:12yes2138 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:59yes54 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:52yes927 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:37yes2026 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:21yes1831 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 00:30yes1127 s
ComparativeGPT-6 Lunagpt-6-luna2026-10-05 00:01yes437 s
ComparativeMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:19yes1936 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-04 22:49yes98 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:04yes35 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:48yes1124 s
Budget constrainedPerplexity Sonarsonar2026-10-04 23:17yes133 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:54yes219 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-10-05 01:01yes104 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-05 00:23yes2236 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 22:53yes52 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-04 22:55yes725 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-04 23:04yes1021 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:46yes1638 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 01:00yes1014 s
Budget constrainedGPT-6 Lunagpt-6-luna2026-10-04 22:14yes218 s
Budget constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:38yes2125 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:58no07 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:55no05 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:16yes1229 s
Scale constrainedPerplexity Sonarsonar2026-10-04 22:49yes195 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-04 23:45yes148 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-10-04 22:54no011 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:12yes2133 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-04 23:11yes52 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:47yes843 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-10-05 00:52yes1537 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:32yes13240 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 00:09no055 s
Scale constrainedGPT-6 Lunagpt-6-luna2026-10-04 22:43yes118 s
Scale constrainedMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-05 00:54no07 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-10-05 00:26yes158 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-10-05 00:08yes48 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-10-05 00:21yes1325 s
Negative framingPerplexity Sonarsonar2026-10-05 01:01yes163 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-10-05 00:15yes1710 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-10-04 22:17yes55 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-10-04 22:20yes2133 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-10-05 00:09yes52 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-10-05 00:57yes926 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-10-04 22:36yes1447 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-10-05 00:07yes1948 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-10-05 01:03yes1044 s
Negative framingGPT-6 Lunagpt-6-luna2026-10-04 23:24yes420 s
Negative framingMuse Glimmer 30Bmeta/muse-glimmer-30b via togetherai2026-10-04 23:19yes1621 s

Normalization in this category

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

ShowHide
Category-scoped readings
Calabrio read as Calabrio ONE
Calabrio ONE read as Calabrio ONE
CallMiner read as CallMiner Eureka
Callminer read as CallMiner Eureka
Five9 read as Five9 Quality Management
Genesys read as Genesys Cloud CX
NICE read as NICE CXone Quality Management
NICE CXone read as NICE CXone Quality Management
Verint read as Verint Quality Management
Unresolved, counted raw
Amazon Connect Wisdom
Aprikot
Babel
Five9 QM
Glia
Monterail QA
Nextiva's higher tiers
QEval AI Platform
QoS
SQM
Salesforce Service Cloud (Agentforce) with QA extensions
Supportman
Twilio
Verint QM
Verint-style enterprise QA suites
Zendesk QA Add‑On
Zendesk Quality Assurance
Discontinued, still offered
No shut-down product was recommended here.
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