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Index Talent acquisition Interview scheduling › ModernLoop vs Lever
Interview scheduling · September 2026 Edition

ModernLoop vs Lever

Five of twelve models named ModernLoop first on the direct prompt; four named Lever. ModernLoop was named by eleven of the twelve models and Lever by eleven and ModernLoop carries 29 labels and Lever 28, so the shares are not directly comparable.

ModernLoop

accepted challenger

Named in one category this edition.

Lever

accepted challenger

Named in nine categories this edition.

First-choice share15%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 11; printed, not drawn.
Labels2928A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, ModernLoop reading right to left. Rank and label count are printed, not drawn.Greenhouse was named alongside these two in seven of the twelve direct answers. Calendly vs ModernLoop · Calendly vs Lever · ModernLoop vs Greenhouse

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
ModernLoopFirst choices, of twelve modelsLever
Direct54
Paraphrase101 against Lever
Comparative00
Budget-constrained001 against ModernLoop · 1 against Lever
Scale-constrained20
Negative102 against ModernLoop · 3 against Lever
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where ModernLoop and Lever 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
ModernLoop Lever first choice named as an alternative argued againstblank: not namedEach cell is one answer, ModernLoop on the left and Lever on the right.

The direct prompt

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

ModernLoop first, Lever an alternative

5 of 12 modelsLever was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashModernLoop alternatives: Ashby, candidate.fyi
Perplexity SonarModernLoop alternatives: GoodTime, Lever
DeepSeek V4 FlashGreenhouse, ModernLoop alternatives: Ashby, Calendly, Lever
Llama 4 MaverickModernLoop alternatives: Greenhouse, Lever
GLM 4.7 FlashXModernLoop alternatives: GoodTime, Lever, candidate.fyi

Lever first, ModernLoop an alternative

4 of 12 modelsModernLoop was named in the answer but not as the choice, or not at all.
Grok 4.1 FastGoodTime, Lever alternatives: Greenhouse, ModernLoop
Mistral SmallLever alternatives: Koalendar, ModernLoop
Kimi K2Lever alternatives: GoodTime, Greenhouse, ModernLoop
MiniMax M2.5Cal.com, Lever alternatives: GoodTime, Greenhouse, ModernLoop

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Cronofy, Greenhouse alternatives: Calendly, Koalendar, ModernLoop
Qwen 3.7 FlashGreenhouse alternatives: Calendly, GoodTime, Lever, LimeLight, Lunacal

Neither was named

1 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniGoodTime alternatives: Ashby, Calendly

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
Lever leads by two points.
Lever2%#7 of 11
ModernLoop0%#11 of 11
The full small business standing →
Mid-marketThe figures above
The order flips: ModernLoop leads at mid-market.
ModernLoop15%#2 of 11
Lever8%#6 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
ModernLoop0%#5 of 9
Lever0%#8 of 9
The full enterprise standing →

What the models said about ModernLoop

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

“Enterprise, quote-only, often thousands per month — avoid these on a limited budget” DeepSeek V4 Flash · budget prompt · hard negative
“expensive administrative overkill for small-to-midsize companies (under 100 employees)” Gemini 3.5 Flash · negative prompt · soft negative
“ModernLoop can add friction and slow your process” GLM 4.7 FlashX · negative prompt · soft negative
“ModernLoop is the strongest default choice because it is repeatedly positioned as a mid-market tool with strong automation” Perplexity Sonar · direct prompt · first choice
“The Top Pick: ModernLoop ... widely considered the strongest standalone scheduling tool for mid-market companies” GLM 4.7 FlashX · direct prompt · first choice
“Add ModernLoop (or Calendly for lighter needs) on top — it's the value sweet spot for mid-market.” DeepSeek V4 Flash · direct 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.

“its native scheduling tool is frequently cited by users as having the "absolute worst UX."” Qwen 3.7 Flash · negative prompt · hard negative
“Less structured tools, pricier renewals ... they're overkill (and 2-5x costlier) for most mid-sized B2B ops” Grok 4.1 Fast · paraphrase prompt · soft negative
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.