Meeting scheduling for enterprise buyers
Asked as “meeting scheduling tool for sales teams”, and as “appointment scheduling software”, on behalf of an enterprise B2B company. 59 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
46%
Clear leader
46Calendly27Chili Piper08Cal.com19others
46% of first choices, clear leader.
Since September 2026▼−7Since September 2026: 52% → 45%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Calendly held the lead, −7 points on 52%, 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.
Small business
Calendly59%Clear leader=heldSince September 2026: 59% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketCalendly36%Contested▼−20Since September 2026: 59% → 39%, −20 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterpriseCalendly46%Clear leader▼−7Since September 2026: 52% → 45%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This page
Calendly59%Clear leader=heldSince September 2026: 59% → 60%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketCalendly36%Contested▼−20Since September 2026: 59% → 39%, −20 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →EnterpriseCalendly46%Clear leader▼−7Since September 2026: 52% → 45%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.This pageThe 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 September 2026
01Calendly46%17%75endorsed leader▼−7Since September 2026: 52% → 45%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.52% → 45%
Calendly46%17%75endorsed leader▼−7Since September 2026: 52% → 45%, −7 points. Inside the 11-point floor: within noise. Read over the models both editions asked.52% → 45%02
Chili Piper27%17%47accepted challenger▲+5Since September 2026: 20% → 25%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 25%
Chili Piper27%17%47accepted challenger▲+5Since September 2026: 20% → 25%, +5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.20% → 25%03
Cal.com8%13%30accepted challenger▲+3Since September 2026: 7% → 9%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 9%
Cal.com8%13%30accepted challenger▲+3Since September 2026: 7% → 9%, +3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.7% → 9%04
Microsoft Bookings5%7%29accepted challenger▼−5Since September 2026: 11% → 6%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 6%
Microsoft Bookings5%7%29accepted challenger▼−5Since September 2026: 11% → 6%, −5 points. Inside the 11-point floor: within noise. Read over the models both editions asked.11% → 6%Show the three products at 0%, ordered by negative rate
07
Doodle0%50%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Doodle0%50%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%06
Acuity Scheduling0%43%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Acuity Scheduling0%43%14criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%05
HubSpot Meetings0%4%27accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.4% → 0%
HubSpot Meetings0%4%27accepted challenger▼−4Since September 2026: 4% → 0%, −4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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-one head-to-head pages: the top seven products, each against each
Calendly vs RevenueHeroCalendly vs OnceHubCalendly vs Google Calendar Appointment SchedulingChili Piper vs HubSpot MeetingsChili Piper vs Cal.comChili Piper vs RevenueHeroChili Piper vs OnceHubChili Piper vs Google Calendar Appointment SchedulingHubSpot Meetings vs Cal.comHubSpot Meetings vs RevenueHeroHubSpot Meetings vs OnceHubHubSpot Meetings vs Google Calendar Appointment SchedulingCal.com vs RevenueHeroCal.com vs OnceHubCal.com vs Google Calendar Appointment SchedulingRevenueHero vs OnceHubRevenueHero vs Google Calendar Appointment SchedulingOnceHub vs Google Calendar Appointment Scheduling
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 →
01020304050607Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Calendly46%
Calendly46%02Chili Piper27%
Chili Piper27%03Cal.com8%
Cal.com8%04Microsoft Bookings5%
Microsoft Bookings5%05HubSpot Meetings0%
HubSpot Meetings0%06Acuity Scheduling0%
Acuity Scheduling0%07Doodle0%
Doodle0%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.
Calendly17%
13 of 75 labels negative · 12 of 14 models · 1 hard negative
“Tools to Avoid or Approach with Caution:** - **Calendly**: ... Pricing cliffs and scalability traps” Grok 4.1 Fast, negative prompt
Doodle50%
7 of 14 labels negative · 7 of 14 models · 3 hard negative
“**Doodle**: - **Weak governance for scale**: Lacks depth in provisioning, audit logging, and admin policy controls” Grok 4.1 Fast, negative prompt
Chili Piper17%
8 of 47 labels negative · 7 of 14 models · 1 hard negative
“Avoid Chili Piper and Salesforce Scheduler for large-scale deployments” Kimi K2, budget prompt
YouCanBookMe71%
5 of 7 labels negative · 5 of 14 models · 3 hard negative
“Avoid or heavily vet these categories: Basic free or low-cost scheduling tools (e.g., ... YouCanBookMe for small teams) lack essential enterprise features” MiniMax M2.5, negative 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
81 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. 1182 links across 277 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.
vendor site · Calendly56 answers · 144 citations · 13 models
vendor site · Cal.com50 answers · 92 citations · 12 models
vendor site · HubSpot30 answers · 49 citations · 13 models
vendor site · RevenueHero29 answers · 39 citations · 13 models
vendor site · Guideflow27 answers · 34 citations · 10 models
vendor site · Albato23 answers · 23 citations · 12 models
vendor site · ZoomInfo21 answers · 26 citations · 10 models
vendor site · Zoho18 answers · 20 citations · 9 models
vendor site · Zeeg17 answers · 22 citations · 7 models
vendor site · LeadAngel16 answers · 22 citations · 9 models
15 answers · 30 citations · 10 models
vendor site · Chili Piper15 answers · 20 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.
28 answers · 12 models
26 answers · 9 models
21 answers · 9 models
19 answers · 10 models
19 answers · 9 models
16 answers · 10 models
15 answers · 6 models
14 answers · 8 models
13 answers · 7 models
13 answers · 7 models
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 meeting scheduling tool for sales teams”, “meeting scheduling tool for sales teams”. 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 products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Calendly calendly.com Calendly 46%, Calendly's Enterprise plan 2% | 47% | 219 | 368,000 | 2,824 | 292,858 | $34 | 5 | |
| Chili Piper chilipiper.com | 27% | 232 | 6,600 | 130 | 6,997 | $295 | 41 | |
| Cal.com cal.com | 8% | 112 | 2,900 | 100 | 439,943 | 3 | 7 | |
| Microsoft parent site Microsoft Bookings 5%, Microsoft Teams 0% | 5% | 63 | 2,240,000 | 403,136 | ||||
| LeadAngel leadangel.com | 5% | 93 | 90 | 0 | 369 | 0 | ||
| HubSpot parent site HubSpot Sales Hub 3%, HubSpot Meetings 0% | 3% | 693 | 368,000 | 9,776 | ||||
| RevenueHero revenuehero.io | 2% | 67 | 720 | 1 | 1,187 | 5 | ||
| ZoomInfo parent site ZoomInfo GTM Workspace 2% | 2% | 18 | 135,000 | 1,810 | ||||
| OnceHub oncehub.com | 0% | 25 | 4,400 | 67 | 9,082 | 7 | ||
| Google parent site Google Calendar Appointment Scheduling 0% | 0% | 31 | 12,100 | 138 |
Google's top ten for the two searches hold 17 sites; 3 of them are among the sites the models cited here (blog.hubspot.com, cal.com, pipeline.zoominfo.com). The first result for “best meeting scheduling tool for sales teams” is peoplemanagingpeople.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
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.
ShowHideModelDirect“What is the best meeting scheduling tool for sales teams for an enterprise B2B company?”Paraphrase“Which appointment scheduling software would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade meeting scheduling tools and how do they differ?”Budget-constrained“What is the best meeting scheduling tool for sales teams 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 meeting scheduling tool for sales teams. What should we look at?”Negative“Which meeting scheduling tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Chili PiperCalendlyChangedCal.comCalendlyagainst: Chili Piperno first choiceagainst: Calendly, Copilot, Google Calendar Appointment Scheduling, Otter.ai, Outlook, Setmore
Two alternatives
HubSpot Meetings, LeanData BookItThree alternatives
Chili Piper, LeadAngel, Microsoft BookingsFive alternatives
Calendly, Chili Piper, HubSpot Meetings, LeadAngel, Microsoft BookingsOne alternative
SavvyCalGPT-5.4 miniChili PiperCalendly, Microsoft BookingsChangedCalendlyCalendly, HubSpot Sales HubCalendlyagainst: Calendly
Three alternatives
Calendly, HubSpot Meetings, HubSpot Sales HubFive alternatives
Chili Piper, Google Calendar Appointment Scheduling, HubSpot Meetings, Microsoft Bookings, OnceHubGemini 3.5 FlashChili PiperCalendly, Chili PiperChangedCalendlyCal.comagainst: Calendly, Chili PiperChili Piper, RevenueHeroagainst: Acuity Scheduling, Booksy, Calendly, Doodle, SavvyCal, Setmore, When2meet, WhenIsGood, YouCanBookMe
Four alternatives
Calendly, Default, LeanData BookIt, RevenueHeroThree alternatives
Booking Engine, Cal.com, LeanData BookItThree alternatives
Cal.com, Chili Piper, OnceHubThree alternatives
Google Calendar Appointment Scheduling, LeanData BookIt, Microsoft BookingsTwo alternatives
Cal.com, CalendlyPerplexity SonarChili PiperCalendly, Microsoft BookingsChangedCalendlyCal.com, HubSpot Sales Hubagainst: Chili Piperno first choicenothing named
Four alternatives
Cal.com, HubSpot Meetings, HubSpot Sales Hub, ZoomInfo GTM WorkspaceOne alternative
Chili PiperSix alternatives
Accruent EMS, Cal.com, Chili Piper, Doodle, Microsoft Bookings, Zoho BookingsGrok 4.1 FastChili PiperCalendly's Enterprise planChangedagainst: Cal.com, Chili PiperCalendlyCalendlyagainst: Chili PiperCalendly, Chili Piperagainst: Acuity Scheduling, Calendly, Doodle, YouCanBookMe
Two alternatives
Calendly, Salesforce SchedulerOne alternative
Microsoft BookingsFive alternatives
Acuity Scheduling, Chili Piper, Microsoft Bookings, OnceHub, SavvyCalTwo alternatives
Acuity Scheduling, HubSpot Sales HubTwo alternatives
Cal.com, HubSpot MeetingsMistral SmallCalendlyCal.comChangedCalendlyagainst: Dialpad, Microsoft BookingsCalendlyno first choiceagainst: Calendly, Doodle
Two alternatives
LeadAngel, ZoomInfo GTM WorkspaceThree alternatives
Microsoft Bookings, Setmore, SuperSaaSOne alternative
Chili PiperOne alternative
Chili PiperDeepSeek V4 FlashCalendly, Chili PiperCalendlyChangedagainst: Acuity SchedulingCal.com, Calendlyagainst: ClockwiseCalendlyagainst: Acuity Scheduling, Cal.com, Chili Piper, HubSpot Meetings, Outreach, SalesloftCalendly, Chili Piperagainst: Acuity Scheduling, Cal.com, Calendly, Doodle, YouCanBookMe
Three alternatives
HubSpot Meetings, OnceHub, RevenueHeroOne alternative
Cal.comThree alternatives
Microsoft Teams, Motion, Reclaim.aiOne alternative
HubSpot MeetingsLlama 4 MaverickZoomInfo GTM WorkspaceLeadAngelChangedno first choiceCalendlyno first choiceagainst: Calendly
Three alternatives
Calendly, Chili Piper, HubSpot MeetingsTwo alternatives
HubSpot Meetings, ReworkQwen 3.7 FlashChili Piper, LeadAngelCalendlyChangedCalendlyCalendlyagainst: Chili Piperno first choiceagainst: Cal.com, Calendly
Two alternatives
Calendly, HubSpot Sales HubTwo alternatives
Chili Piper, Microsoft BookingsThree alternatives
Google Calendar Appointment Scheduling, Microsoft Bookings, Zoom SchedulerTwo alternatives
HubSpot Meetings, Salesforce Native SchedulingKimi K2Calendly, Chili PiperCalendlyChangedagainst: Microsoft BookingsCalendlyMicrosoft Bookingsagainst: Chili Piper, Salesforce Schedulerno first choiceagainst: Calendly, Doodle, When2meet
Three alternatives
HubSpot Meetings, RevenueHero, SalesloftTwo alternatives
Cal.com, Chili PiperSix alternatives
Acuity Scheduling, Cal.com, Chili Piper, Microsoft Bookings, OnceHub, SavvyCalTwo alternatives
Calendly, HubSpot MeetingsGLM 4.7 FlashXChili PiperCalendlyChangedAcuity Scheduling, Calendlyagainst: ShiftboardCal.com, Calendlyno first choiceagainst: Calendly, YouCanBookMe
Two alternatives
Calendly, x.aiTwo alternatives
HubSpot Meetings, Microsoft BookingsFour alternatives
Cal.com, Doodle, HubSpot Meetings, OnceHubTwo alternatives
HubSpot Sales Hub, RevenueHeroMiniMax M2.5LeadAngelCalendlyChangedCal.com, CalendlyCal.com, Calendlyno first choiceagainst: Calendly, Doodle, When2meet, YouCanBookMe
Three alternatives
Calendly, HubSpot Meetings, ZoomInfo GTM WorkspaceOne alternative
Cal.comThree alternatives
Chili Piper, Clockwise, Microsoft BookingsOne alternative
HubSpot MeetingsGPT-6 LunaChili PiperCalendlyChangedCalendlyCalendlyno first choiceagainst: Calendly, Doodle
One alternative
CalendlyThree alternatives
Chili Piper, Microsoft Bookings, Salesforce SchedulerSix alternatives
Chili Piper, Doodle, GoodTime, Google Calendar Appointment Scheduling, Microsoft Bookings, Zoom SchedulerOne alternative
ChiliCalOne alternative
Microsoft BookingsMuse Glimmer 30BChili PiperCalendlyChangedCalendlyChili Piperno first choiceagainst: Acuity Scheduling, Google Calendar Appointment Scheduling, Google Meet
Two alternatives
Calendly, Salesforce SchedulerFour alternatives
Appointedd Enterprise, DaySchedule Enterprise, Microsoft Bookings, Zoho BookingsThree alternatives
Chili Piper, HubSpot Meetings, Microsoft BookingsTwo alternatives
Calendly, HubSpot MeetingsBold 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.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 14:10 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:08 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:10 | yes | 20 | 30 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 08:24 | yes | 19 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:14 | yes | 21 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 13:56 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:58 | yes | 20 | 30 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:54 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:01 | yes | 14 | 40 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:56 | yes | 13 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:33 | yes | 22 | 26 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:55 | yes | 5 | 15 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:20 | yes | 4 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 14:09 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:14 | yes | 9 | 7 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:13 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:04 | yes | 12 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:47 | yes | 19 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 07:46 | yes | 25 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:27 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:48 | yes | 24 | 34 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:09 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:17 | yes | 10 | 40 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:20 | yes | 18 | 33 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:11 | yes | 20 | 62 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:41 | yes | 5 | 13 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:00 | yes | 4 | 17 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:55 | yes | 15 | 18 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:22 | yes | 10 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:25 | yes | 9 | 14 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:16 | yes | 23 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:50 | yes | 19 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:10 | yes | 22 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:16 | yes | 23 | 12 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:31 | yes | 25 | 62 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:17 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:26 | yes | 19 | 66 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:05 | yes | 23 | 35 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:17 | yes | 15 | 18 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:21 | yes | 24 | 39 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:43 | yes | 7 | 19 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:53 | yes | 13 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 12:25 | yes | 16 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:26 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:03 | yes | 13 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 09:18 | yes | 20 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:33 | yes | 25 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:30 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:10 | yes | 20 | 34 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:37 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:20 | yes | 5 | 26 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:23 | yes | 19 | 21 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:27 | yes | 19 | 106 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:46 | yes | 18 | 55 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:16 | yes | 3 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:40 | yes | 18 | 26 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:22 | yes | 18 | 12 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:18 | yes | 2 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:33 | yes | 30 | 31 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:16 | yes | 19 | 9 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 12:13 | yes | 15 | 17 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:36 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:23 | yes | 24 | 45 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:53 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:12 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 12:45 | yes | 10 | 27 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:12 | yes | 13 | 43 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:45 | no | 0 | 59 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:40 | yes | 4 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:15 | yes | 15 | 32 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 07:54 | yes | 18 | 9 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 12:43 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 14:01 | yes | 25 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 10:29 | yes | 29 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:28 | yes | 25 | 6 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:12 | yes | 14 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:17 | yes | 25 | 44 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:48 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:39 | yes | 10 | 34 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:23 | yes | 24 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 13:16 | yes | 24 | 34 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:49 | yes | 25 | 31 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:35 | yes | 3 | 26 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:33 | yes | 20 | 26 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
Acuity read as Acuity Scheduling
Google Calendar read as Google Calendar Appointment Scheduling
Google Calendar Appointment Schedules read as Google Calendar Appointment Scheduling
Google Calendar appointment schedules read as Google Calendar Appointment Scheduling
Google Calendar appointment slots read as Google Calendar Appointment Scheduling
Google Workspace Appointment Schedules read as Google Calendar Appointment Scheduling
HubSpot read as HubSpot Meetings
Unresolved, counted raw
Accruent EMS
Appointedd Enterprise
Booking Engine (NC Squared)
Bookings
Booksy
Cal.com self-hosted
Cal.diy
Calendly's Enterprise plan
CozyCal
DaySchedule Enterprise
Gainsight PULSE
GoodTime
Microsoft Places
Microsoft Teams scheduling
Salesforce Native Scheduling
Shiftboard
Synchronize Pro
Yocale
Zoom Workplace
Zoom's scheduling features
ZoomInfo GTM
Discontinued, still offered
No shut-down product was recommended here.