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Interview scheduling · November 2026 Edition

Lever vs Greenhouse

Zero of fourteen models named Lever first on the direct prompt; zero named Greenhouse. Lever was named by eleven of the fourteen models and Greenhouse by thirteen and Lever carries 18 labels and Greenhouse 23, so the shares are not directly comparable.

Lever

accepted challenger

Named in twelve categories this edition.

Greenhouse

accepted challenger

Named in fourteen categories this edition.

First-choice share8%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate22%13%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 15; printed, not drawn.
Labels1823A 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.ModernLoop was named alongside these two in thirteen of the fourteen direct answers. ModernLoop vs Lever · ModernLoop vs Greenhouse · Calendly 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 modelsGreenhouse
Direct00
Paraphrase421 against Lever · 1 against Greenhouse
Comparative00
Budget-constrained00
Scale-constrained00
Negative103 against Lever · 2 against Greenhouse
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.

Across every category in the November 2026 Edition, Lever and Greenhouse were named in the same answer 236 times, of the 264 answers naming Lever and the 456 naming Greenhouse. In those answers Greenhouse took the first choice forty-six times and Lever eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Lever and Greenhouse stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Lever Greenhouse first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lever on the left and Greenhouse on the right.

The direct prompt

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

Neither was the first choice, one was named

3 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
Qwen 3.7 FlashCalendly, ModernLoop alternatives: GoodTime, Greenhouse, Lever

Neither was named

11 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
Mistral SmallGoodTime alternatives: Calendly, ModernLoop, Paradox
DeepSeek V4 FlashModernLoop alternatives: Calendly
Llama 4 MaverickModernLoop alternatives: Calendly, GoodTime
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
Level: the same share of first choices.
Lever0%#– of 16
Greenhouse0%#13 of 16
The full small business standing →
Mid-marketThe figures above
Lever leads by four points.
Lever8%#6 of 15
Greenhouse4%#7 of 15
The full mid-market standing →
Enterprise
The order flips: Greenhouse leads at enterprise.
Greenhouse9%#4 of 13
Lever0%#11 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. 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

What the models said about Greenhouse

No label in this category carried a quote.

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.