Interview scheduling
Asked as “interview scheduling software”, and as “recruiting coordination tool”, on behalf of a mid-market B2B company. 50 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
28%
Contested · Calendly 16%
28ModernLoop16Calendly12GoodTime44others
28% of first choices, contested.
Since October 2026↗new leaderNew leader since October 2026: ModernLoop (28%) replaces Calendly (20% then, 16% now), 12 points clear, inside the 13-point floor.ModernLoop leads at 28%, replacing Calendly, which led at 20% and stands at 16% now: 12 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.
Small business
Calendly50%Clear leader▲+9Since October 2026: 41% → 50%, +9 points. Inside the 13-point floor: within noise.Standing →Mid-market
ModernLoop28%Contested↗new leaderNew leader since October 2026: ModernLoop (28%) replaces Calendly (20% then, 16% now), 12 points clear, inside the 13-point floor.This pageEnterprise
GoodTime55%Clear leader=heldSince October 2026: 55% → 55%, ±0 points. Inside the 13-point floor: within noise.Standing →
Calendly50%Clear leader▲+9Since October 2026: 41% → 50%, +9 points. Inside the 13-point floor: within noise.Standing →Mid-marketModernLoop28%Contested↗new leaderNew leader since October 2026: ModernLoop (28%) replaces Calendly (20% then, 16% now), 12 points clear, inside the 13-point floor.This pageEnterpriseGoodTime55%Clear leader=heldSince October 2026: 55% → 55%, ±0 points. Inside the 13-point floor: within noise.Standing →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
01ModernLoop28%10%42accepted challenger▲+19Since October 2026: 9% → 28%, +19 points. Past the 13-point floor: movement.9% → 28%
ModernLoop28%10%42accepted challenger▲+19Since October 2026: 9% → 28%, +19 points. Past the 13-point floor: movement.9% → 28%02Calendly16%29%59criticized challenger▼−4Since October 2026: 20% → 16%, −4 points. Inside the 13-point floor: within noise.20% → 16%
Calendly16%29%59criticized challenger▼−4Since October 2026: 20% → 16%, −4 points. Inside the 13-point floor: within noise.20% → 16%03GoodTime12%22%54accepted challenger▼−4Since October 2026: 16% → 12%, −4 points. Inside the 13-point floor: within noise.16% → 12%
GoodTime12%22%54accepted challenger▼−4Since October 2026: 16% → 12%, −4 points. Inside the 13-point floor: within noise.16% → 12%04
Koalendar10%11%19accepted challenger▲+4Since October 2026: 6% → 10%, +4 points. Inside the 13-point floor: within noise.6% → 10%
Koalendar10%11%19accepted challenger▲+4Since October 2026: 6% → 10%, +4 points. Inside the 13-point floor: within noise.6% → 10%05
Cal.com8%13%23accepted challenger=heldSince October 2026: 8% → 8%, ±0 points. Inside the 13-point floor: within noise.8% → 8%
Cal.com8%13%23accepted challenger=heldSince October 2026: 8% → 8%, ±0 points. Inside the 13-point floor: within noise.8% → 8%06
Lever8%22%18accepted challenger▼−3Since October 2026: 11% → 8%, −3 points. Inside the 13-point floor: within noise.11% → 8%
Lever8%22%18accepted challenger▼−3Since October 2026: 11% → 8%, −3 points. Inside the 13-point floor: within noise.11% → 8%07
Greenhouse4%13%23accepted challenger▼−4Since October 2026: 8% → 4%, −4 points. Inside the 13-point floor: within noise.8% → 4%
Greenhouse4%13%23accepted challenger▼−4Since October 2026: 8% → 4%, −4 points. Inside the 13-point floor: within noise.8% → 4%08Prelude2%29%14criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise.0% → 2%
Show the seven products at 0%, ordered by negative rate
15
HireVue0%60%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
HireVue0%60%10criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%14
Microsoft Bookings0%30%10criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%
Microsoft Bookings0%30%10criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%13
VidCruiter0%23%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
VidCruiter0%23%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%12
YouCanBookMe0%23%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
YouCanBookMe0%23%13accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%10
Paradox0%21%24accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%
Paradox0%21%24accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise.0% → 0%11
candidate.fyi0%7%14accepted challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise.3% → 0%
candidate.fyi0%7%14accepted challenger▼−3Since October 2026: 3% → 0%, −3 points. Inside the 13-point floor: within noise.3% → 0%09
Ashby0%4%26accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%
Ashby0%4%26accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 13-point floor: within noise.2% → 0%The floor is 13 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.
For buyers
All twenty-eight head-to-head pages: the top eight products, each against each
ModernLoop vs Cal.comModernLoop vs LeverModernLoop vs GreenhouseModernLoop vs PreludeCalendly vs GoodTimeCalendly vs KoalendarCalendly vs Cal.comCalendly vs LeverCalendly vs GreenhouseCalendly vs PreludeGoodTime vs KoalendarGoodTime vs Cal.comGoodTime vs LeverGoodTime vs GreenhouseGoodTime vs PreludeKoalendar vs Cal.comKoalendar vs LeverKoalendar vs GreenhouseKoalendar vs PreludeCal.com vs LeverCal.com vs GreenhouseCal.com vs PreludeLever vs GreenhouseLever vs PreludeGreenhouse vs Prelude
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 →
01020304050607P08
09101112131415Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative40%
Key
01ModernLoop28%
ModernLoop28%02Calendly16%
Calendly16%03GoodTime12%
GoodTime12%04Koalendar10%
Koalendar10%05Cal.com8%
Cal.com8%06Lever8%
Lever8%07Greenhouse4%
Greenhouse4%08Prelude2%
09Ashby0%
Ashby0%10Paradox0%
Paradox0%11candidate.fyi0%
candidate.fyi0%12YouCanBookMe0%
YouCanBookMe0%13VidCruiter0%
VidCruiter0%14Microsoft Bookings0%
Microsoft Bookings0%15HireVue0%
HireVue0%What they warned about
Two 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, 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.
Calendly29%
17 of 59 labels negative · 9 of 14 models · 5 hard negative
“General-purpose tools like Calendly and Microsoft Bookings lack the ATS depth and interviewer load balancing that recruiting teams need at scale.” Muse Glimmer 30B, direct prompt
GoodTime22%
12 of 54 labels negative · 7 of 14 models · 3 hard negative
“What to Avoid - Enterprise-focused tools like GoodTime, VidCruiter, or Paradox” Kimi K2, budget prompt
HireVue60%
6 of 10 labels negative · 6 of 14 models · 3 hard negative
“Avoid for mid-market B2B: Pure enterprise like HireVue/Paradox (too complex/expensive)” Grok 4.20, direct prompt
Paradox21%
5 of 24 labels negative · 4 of 14 models · 3 hard negative
“Avoid for mid-market B2B: Pure enterprise like HireVue/Paradox (too complex/expensive)” Grok 4.20, direct 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
75 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. 837 links across 188 sites, every framing counted. Ranked by the number of answers carrying the site or page. 1 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 · Cal.com38 answers · 60 citations · 12 models
vendor site · ModernLoop27 answers · 38 citations · 12 models
vendor site · Koalendar24 answers · 32 citations · 11 models
vendor site · Lever24 answers · 26 citations · 9 models
vendor site · GoodTime23 answers · 32 citations · 12 models
20 answers · 21 citations · 9 models
vendor site · Lead Change Group19 answers · 36 citations · 9 models
vendor site · G219 answers · 30 citations · 9 models
18 answers · 23 citations · 10 models
vendor site · FluentBooking17 answers · 17 citations · 10 models
15 answers · 24 citations · 7 models
vendor site · Calendly15 answers · 21 citations · 8 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.
32 answers · 11 models
22 answers · 11 models
20 answers · 9 models
18 answers · 9 models
17 answers · 7 models
17 answers · 10 models
16 answers · 7 models
13 answers · 8 models
13 answers · 9 models
11 answers · 8 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 interview scheduling software”, “interview scheduling software”, “interview scheduling tools”. 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 |
|---|---|---|---|---|---|---|---|---|
| ModernLoop modernloop.com | 28% | 116 | 880 | 7 | 410 | |||
| Calendly calendly.com | 16% | 214 | 368,000 | 2,824 | 292,858 | $34 | 5 | |
| GoodTime goodtime.io | 12% | 156 | 135,000 | 614 | 2,435 | $1,627 | 7 | 4 |
| Koalendar koalendar.com | 10% | 48 | 2,400 | 32 | 1,332,699 | 9 | ||
| Cal.com cal.com | 8% | 92 | 2,900 | 100 | 439,943 | 3 | ||
| Lever lever.co | 8% | 221 | 60,500 | 24,663 | 189,552 | $657 | 7 | |
| Workable workable.com | 6% | 332 | 14,800 | 520 | 698,499 | $14,562 | 77 | |
| Greenhouse greenhouse.com | 4% | 401 | 301,000 | 52,273 | 62,551 | $5,545 | 74 | |
| Grayscale | 2% | |||||||
| Prelude | 2% | 60,500 | 12,629 |
Google's top ten for the three searches hold 13 sites; 3 of them are among the sites the models cited here (candidate.fyi, goodtime.io, selectsoftwarereviews.com). The first result for “best interview scheduling software” is candidate.fyi.
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 interview scheduling software for a mid-market B2B company?”Paraphrase“Which recruiting coordination tool would you recommend to a mid-sized B2B company?”Comparative“What are the top interview scheduling tools and how do they differ?”Budget-constrained“What is the best interview scheduling software for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating an interview scheduling software. What should we look at?”Negative“Which interview scheduling tools should I avoid or be cautious about?”
Claude Haiku 4.5ModernLoopno first choiceChangedGoodTimeCalendlyno first choiceagainst: Calendly
Three alternatives
Ashby, GoodTime, PreludeFive alternatives
Calendly, Eightfold AI, ModernLoop, Paradox, VidCruiterThree alternatives
Google Calendar, Koalendar, YouCanBookMeGPT-5.4 miniGoodTimeLeverChangedno first choiceCalendlyno first choicenothing named
Four alternatives
Ashby, Calendly, Greenhouse, LeverTwo alternatives
GoodTime, candidate.fyiTwelve alternatives
Acuity Scheduling, Ashby, Calendly, GoodTime, Google Appointment Schedule, Greenhouse, HireVue, Lever, Microsoft Bookings, ModernLoop, Paradox, PreludeThree alternatives
Ashby, Google Calendar, WorkstreamGemini 3.5 FlashModernLoopagainst: Calendly, Prelude, YouCanBookMeModernLoopHeldagainst: CalendlyGoodTimeagainst: CalendlyCal.comagainst: GoodTime, ModernLoopno first choiceagainst: Calendlyagainst: Calendly, Doodle, HireVue, Paradox, Prelude, Setmore, Spark Hire, VidCruiter, Willo, YouCanBookMe
Three alternatives
Ashby, GoodTime, candidate.fyiThree alternatives
Ashby, GoodTime, candidate.fyiFour alternatives
Arrange, ModernLoop, Paradox, candidate.fyiEight alternatives
Calendly, Google Workspace, Koalendar, Manatal, Microsoft Bookings, YouCanBookMe, Zoho Bookings, Zoho RecruitPerplexity SonarGoodTimeagainst: CalendlyLeverChangedno first choiceCalendlyagainst: GoodTime, ModernLoopno first choiceagainst: Cal.com, Calendly, Koalendar, YouCanBookMe
Four alternatives
Ashby, Cal.com, Lever, ModernLoopFour alternatives
Ashby, GoodTime, Greenhouse, WorkableNine alternatives
Ashby, Cal.com, Calendly, GoodTime, Greenhouse, ModernLoop, Paradox, VidCruiter, candidate.fyiThree alternatives
Cal.com, Koalendar, YouCanBookMeGrok 4.20ModernLoopagainst: Cal.com, Calendly, GoodTime, HireVue, Microsoft Bookings, Paradox, candidate.fyiWorkableChangedagainst: Greenhouse, LeverCal.com, CalendlyCal.comagainst: Ashby, GoodTime, ModernLoop, Paradoxno first choiceagainst: ADP Workforce Now, Calendly, Doodle, GoodTime, Koalendar, Microsoft Bookings, Paylocity, Picktime, Sense
Two alternatives
Grayscale, PreludeThree alternatives
Breezy HR, Jobvite, TeamtailorFour alternatives
Cronofy, GoodTime, HireVue, SetmoreFour alternatives
Calendly, Google Calendar, Koalendar, Microsoft BookingsMistral SmallGoodTimeJobvite, WorkableChangedCal.comCalendlyno first choicenothing named
Three alternatives
Calendly, ModernLoop, ParadoxNine alternatives
Calendly, GoodTime, Koalendar, ModernLoop, Paradox, Setmore, VidCruiter, YouCanBookMe, myInterviewThree alternatives
Doodle, Koalendar, SetmoreDeepSeek V4 FlashModernLoopagainst: GoodTimeWorkableChangedagainst: GoodTimeGoodTime, ModernLoopagainst: PreludeKoalendarno first choiceagainst: Calendly, Doodle, GoodTime, HireVue, Sense, VidCruiter, myInterview
One alternative
CalendlyTwo alternatives
Greenhouse, LeverFive alternatives
Cal.com, Calendly, Cronofy, Koalendar, ParadoxThree alternatives
Calendly, Picktime, YouCanBookMeLlama 4 MaverickModernLoopno first choiceChangedno first choiceCalendlyno first choicenothing named
Two alternatives
Calendly, GoodTimeTwo alternatives
Breezy HR, WhenAvailableQwen 3.7 FlashCalendly, ModernLoopCalendly, GoodTimeChangedGoodTimeCalendly, Koalendarno first choiceagainst: Calendly, Greenhouse, HireVue, Lever, Workday Recruiting
Three alternatives
GoodTime, Greenhouse, LeverTwo alternatives
Ashby, LeverSeven alternatives
Ashby, Cal.com, Calendly, Greenhouse, Koalendar, ModernLoop, ParadoxThree alternatives
Google Calendar, Outlook, YouCanBookMeKimi K2ModernLoopagainst: CalendlyModernLoopHeldagainst: GoodTime, Preludeno first choiceagainst: HireVueKoalendaragainst: GoodTime, Paradox, VidCruiterno first choiceagainst: Calendly, Doodle, Greenhouse, Indeed Automated Scheduling, Lever, Workday Recruiting
One alternative
GoodTimeTwo alternatives
Calendly, ParadoxFive alternatives
Cal.com, Calendly, GoodTime, ModernLoop, ParadoxFour alternatives
Calendly, Microsoft Bookings, Setmore, YouCanBookMeGLM 4.7 FlashXModernLoopGreenhouse, LeverChangedCalendlyKoalendarno first choicenothing named
Two alternatives
GoodTime, GrayscaleEight alternatives
Ashby, Calendly, GoodTime, Grayscale, ModernLoop, Prelude, VidCruiter, candidate.fyiSeven alternatives
Acuity Scheduling, Clara, Cronofy, GoodTime, HireVue, ModernLoop, ParadoxThree alternatives
Calendly, Google Calendar, SetmoreMiniMax M2.5ModernLoopagainst: CalendlyGreenhouse, LeverChangedCal.comKoalendarno first choiceagainst: Cal.com, Calendly
Three alternatives
Cal.com, GoodTime, VidCruiterFour alternatives
Ashby, Jazz HR, Rippling, Zoho RecruitFour alternatives
Calendly, GoodTime, Greenhouse, KoalendarThree alternatives
Calendly, Picktime, SetmoreGPT-6 LunaModernLoopGoodTimeChangedno first choiceagainst: CronofyZoho Bookingsagainst: GoodTimeno first choicenothing named
Two alternatives
Ashby's native scheduling, GoodTimeThree alternatives
Ashby, Calendly, PreludeSix alternatives
Ashby, Calendly, GoodTime, Greenhouse, ModernLoop, ParadoxTwo alternatives
Calendly, Microsoft BookingsMuse Glimmer 30BModernLoopagainst: Calendly, Microsoft BookingsCal.com, GoodTimeChangedCal.comCal.comagainst: GoodTime, ModernLoopGrayscale, ModernLoop, Preludeagainst: HireVue, Lever, Olivia, Paradox
Two alternatives
Grayscale, PreludeOne alternative
WorkableFive alternatives
Calendly, Chili Piper, GoodTime, ModernLoop, ScheduleOnceFour alternatives
Calendly, Koalendar, Setmore, TidyCalBold 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.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:46 | yes | 10 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:17 | yes | 2 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:17 | yes | 10 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 11:00 | yes | 10 | 3 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:04 | yes | 12 | 38 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:02 | yes | 5 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:40 | yes | 20 | 34 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:21 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:24 | yes | 5 | 17 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 08:46 | yes | 14 | 42 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:25 | yes | 21 | 32 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:10 | yes | 15 | 51 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:49 | yes | 3 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:46 | yes | 9 | 14 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:21 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:44 | yes | 1 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:27 | yes | 8 | 21 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 11:16 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:20 | yes | 5 | 26 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:49 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 09:48 | yes | 24 | 19 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:43 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:59 | no | 0 | 28 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:17 | yes | 20 | 50 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:11 | yes | 20 | 190 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:50 | no | 0 | 12 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:11 | yes | 4 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:23 | yes | 21 | 31 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:01 | yes | 9 | 8 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:35 | yes | 6 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:22 | yes | 9 | 24 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 10:26 | yes | 10 | 4 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:11 | yes | 5 | 36 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:34 | yes | 5 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:16 | yes | 20 | 57 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:52 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:11 | yes | 5 | 22 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 12:51 | yes | 13 | 37 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:12 | yes | 24 | 64 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 12:16 | yes | 9 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:43 | yes | 7 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:00 | yes | 15 | 29 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 09:04 | yes | 10 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:05 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:55 | yes | 9 | 20 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 10:24 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:29 | yes | 5 | 32 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:56 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:30 | yes | 24 | 22 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:28 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 09:06 | yes | 5 | 18 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:51 | yes | 12 | 23 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:58 | yes | 22 | 48 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:25 | yes | 5 | 32 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:28 | yes | 4 | 19 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:07 | yes | 13 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:50 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:36 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:25 | no | 0 | 17 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 11:51 | yes | 10 | 6 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:16 | yes | 5 | 29 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 12:38 | no | 0 | 5 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:08 | yes | 23 | 27 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:20 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 11:49 | no | 0 | 24 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:28 | yes | 14 | 22 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:49 | yes | 13 | 21 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 11:47 | no | 0 | 21 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:23 | yes | 2 | 12 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:30 | yes | 13 | 21 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 08:59 | yes | 28 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:54 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:19 | yes | 11 | 19 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 11:24 | yes | 10 | 4 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:15 | yes | 14 | 36 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 08:50 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:54 | yes | 25 | 33 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:07 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:57 | yes | 23 | 62 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:34 | yes | 25 | 42 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:41 | yes | 22 | 26 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 08:45 | yes | 15 | 99 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 12:24 | yes | 2 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:17 | yes | 25 | 29 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
SAP SuccessFactors read as SAP SuccessFactors Recruiting
Workday read as Workday Recruiting
iCIMS read as iCIMS Talent Cloud
Unresolved, counted raw
Amelia
Ashby's native scheduling
Calendly for Enterprise
Candid.fyi
Chilipiper
HireVox
Hubstaff Meet
Indeed Automated Scheduling
Interview Scheduler
Leera
Mathilda
MeetFrank
Olivia
RecruiterBox
Skit
hiremore AI
Discontinued, still offered
No shut-down product was recommended here.