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Interview scheduling · October 2026 Edition

Lever vs Koalendar

Three of fourteen models named Lever first on the direct prompt; zero named Koalendar. Lever was named by twelve of the fourteen models and Koalendar by seven and Lever carries 34 labels and Koalendar 10, so the shares are not directly comparable.

Lever

accepted challenger

Named in thirteen categories this edition.

Koalendar

accepted challenger

Named in one category this edition.

First-choice share11%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 12; printed, not drawn.
Labels3410A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Lever reading right to left. Rank and label count are printed, not drawn.Greenhouse was named alongside these two in eleven of the fourteen direct answers. Calendly vs Lever · Calendly vs Koalendar · GoodTime vs Lever

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.
LeverFirst choices, of fourteen modelsKoalendar
Direct301 against Lever
Paraphrase40
Comparative001 against Lever
Budget-constrained041 against Lever
Scale-constrained00
Negative00
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 Lever and Koalendar stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Muse Glimmer 30B
Lever Koalendar first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lever on the left and Koalendar on the right.

The direct prompt

The plain question, one answer per model, grouped by where Lever and Koalendar stood in it.

Lever first, Koalendar not the choice

3 of 14 modelsKoalendar was named in the answer but not as the choice, or not at all.
Mistral SmallGreenhouse, Lever alternatives: Cal.com
Llama 4 MaverickLever alternatives: Cal.com, Greenhouse, Joveo, Workforce Now
MiniMax M2.5Lever alternatives: Cal.com, Chili Piper, Greenhouse

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.
Grok 4.1 FastCalendly alternatives: Chili Piper, Greenhouse, Lever
DeepSeek V4 FlashCal.com, Calendly alternatives: Greenhouse, Lever
Qwen 3.7 FlashGoodTime alternatives: Ashby, Lever
Kimi K2ModernLoop alternatives: Ashby, Calendly, GoodTime, Greenhouse, Lever
GLM 4.7 FlashXCalendly alternatives: GoodTime, Greenhouse, Lever

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5ModernLoop alternatives: Ashby, GoodTime, Greenhouse
GPT-5.4 miniAshby alternatives: Calendly Sales, GoodTime, Prelude
Gemini 3.5 FlashModernLoop alternatives: Ashby, Calendly’s Prelude, GoodTime
Perplexity SonarGoodTime alternatives: Calendly Sales, Greenhouse, ModernLoop
GPT-6 LunaModernLoop alternatives: GoodTime, Greenhouse
Muse Glimmer 30BGreenhouse, Jobvite alternatives: GoodTime, candidate.fyi

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
Koalendar leads by twelve points.
Koalendar14%#2 of 15
Lever2%#10 of 15
The full small business standing →
Mid-marketThe figures above
The order flips: Lever leads at mid-market.
Lever11%#3 of 12
Koalendar6%#7 of 12
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Lever0%#13 of 13
Koalendar0%#– of 13
The full enterprise standing →

What the models said about Lever

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“Avoid full ATS suites like Lever/Greenhouse unless free tiers suffice, as they're pricier for scale.” Grok 4.1 Fast · budget prompt · hard negative
“their native scheduling tools are decent for simple 1:1s, but they lack advanced interviewer load balancing” Gemini 3.5 Flash · direct prompt · soft negative
“Lever - Best for mid-market to enterprise teams hiring at scale... AI-native recruiting platform with scheduling” Llama 4 Maverick · direct prompt · first choice

What the models said about Koalendar

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“It's the top pick for simple automated interview scheduling, especially for small and mid-sized recruiting teams” Claude Haiku 4.5 · budget prompt · first choice
“Start with Koalendar or Calendly's free plan to get basic functionality without cost.” GLM 4.7 FlashX · budget prompt · first choice
“Cal.com free tier or Koalendar free forever give the most features without cost” Muse Glimmer 30B · budget prompt · first choice
Also compared

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.