Interview scheduling · November 2026 Edition
Calendly vs Lever
One of fourteen models named Calendly first on the direct prompt; zero named Lever. Calendly was named by fourteen of the fourteen models and Lever by eleven and Calendly carries 59 labels and Lever 18, so the shares are not directly comparable.
Named in five categories this edition.
Named in twelve categories this edition.
First-choice share16%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate29%22%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 15; printed, not drawn.
Labels5918A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Calendly reading right to left. Rank and label count are printed, not drawn.ModernLoop was named alongside these two in thirteen of the fourteen direct answers. ModernLoop vs Calendly · ModernLoop vs Lever · Calendly vs GoodTime
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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the interview scheduling page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CalendlyFirst choices, of fourteen modelsLever
Direct106 against Calendly
Paraphrase141 against Calendly · 1 against Lever
Comparative201 against Calendly
Budget-constrained60
Scale-constrained001 against Calendly
Negative018 against Calendly · 3 against Lever
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Calendly and Lever stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | |||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| 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 | | | | |||
| Muse Glimmer 30B | | | | |
Calendly Lever first choice named as an alternative argued againstblank: not namedEach cell is one answer, Calendly on the left and Lever on the right.The direct prompt
The plain question, one answer per model, grouped by where Calendly and Lever stood in it.
Calendly first, Lever an alternative
1 of 14 modelsLever was named in the answer but not as the choice, or not at all.Qwen 3.7 FlashCalendly, ModernLoop alternatives: GoodTime, Greenhouse, Lever
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniGoodTime alternatives: Ashby, Calendly, Greenhouse, Lever
Perplexity SonarGoodTime alternatives: Ashby, Cal.com, Lever, ModernLoop
Mistral SmallGoodTime alternatives: Calendly, ModernLoop, Paradox
DeepSeek V4 FlashModernLoop alternatives: Calendly
Llama 4 MaverickModernLoop alternatives: Calendly, GoodTime
Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5ModernLoop alternatives: Ashby, GoodTime, Prelude
Gemini 3.5 FlashModernLoop alternatives: Ashby, GoodTime, candidate.fyi
Grok 4.20ModernLoop alternatives: Grayscale, Prelude
Kimi K2ModernLoop alternatives: GoodTime
GLM 4.7 FlashXModernLoop alternatives: GoodTime, Grayscale
MiniMax M2.5ModernLoop alternatives: Cal.com, GoodTime, VidCruiter
GPT-6 LunaModernLoop alternatives: Ashby's native scheduling, GoodTime
Muse Glimmer 30BModernLoop alternatives: Grayscale, Prelude
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Mid-marketThe figures above
Enterprise
What the models said about Calendly
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“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 · hard negative
“Standard tools like basic Calendly often fail because they struggle with complex panel logic and deep ATS synchronization.” Gemini 3.5 Flash · paraphrase prompt · hard negative
“Why to avoid: It lacks deep ATS integration and compliance features required for enterprise recruiting.” Qwen 3.7 Flash · negative prompt · hard negative
“Calendly is the industry standard for a reason. It is the easiest tool to set up and requires the least amount of training” GLM 4.7 FlashX · comparative prompt · first choice
“Calendly is considered a budget-friendly option, with a free plan and paid plans starting at $10 to $16 per seat a month.” Llama 4 Maverick · budget prompt · first choice
“the best starting point is usually Calendly because it has a free plan and low-cost paid tiers” GPT-5.4 mini · budget prompt · first choice
What the models said about Lever
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“complaints such as with Lever: "It will schedule calls back to back and you can't set up a 10-minute buffer window."” Muse Glimmer 30B · negative prompt · soft negative
“I'd lean toward Greenhouse or Lever for their balance of features, scalability, and B2B-focused functionality.” MiniMax M2.5 · paraphrase prompt · first choice
Also compared
ModernLoop vs CalendlyModernLoop vs LeverCalendly vs GoodTimeCalendly vs KoalendarCalendly vs Cal.comCalendly vs GreenhouseCalendly vs PreludeGoodTime vs LeverKoalendar vs LeverCal.com vs LeverLever vs GreenhouseLever vs PreludeAll twenty-eight head-to-head pages and the full interview scheduling standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.