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Interview scheduling · September 2026 Edition

Greenhouse vs Lever

Three of twelve models named Greenhouse first on the direct prompt; four named Lever. Greenhouse was named by twelve of the twelve models and Lever by eleven and both carry 28 labels, so the shares below are directly comparable.

Greenhouse

accepted challenger

Named in thirteen categories this edition.

Lever

accepted challenger

Named in nine categories this edition.

First-choice share13%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 11; printed, not drawn.
Labels2828Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Greenhouse reading right to left. Rank and label count are printed, not drawn.ModernLoop was named alongside these two in ten of the twelve direct answers. Calendly vs Greenhouse · 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.
GreenhouseFirst choices, of twelve modelsLever
Direct34
Paraphrase401 against Greenhouse · 1 against Lever
Comparative00
Budget-constrained001 against Greenhouse · 1 against Lever
Scale-constrained00
Negative003 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.

Across every category in the September 2026 Edition, Greenhouse and Lever were named in the same answer 198 times, of the 370 answers naming Greenhouse and the 255 naming Lever. In those answers Lever took the first choice ten times and Greenhouse forty-five.

Every model, every framing

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

The direct prompt

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

Greenhouse first, Lever an alternative

3 of 12 modelsLever was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Cronofy, Greenhouse alternatives: Calendly, Koalendar, ModernLoop
DeepSeek V4 FlashGreenhouse, ModernLoop alternatives: Ashby, Calendly, Lever
Qwen 3.7 FlashGreenhouse alternatives: Calendly, GoodTime, Lever, LimeLight, Lunacal

Lever first, Greenhouse an alternative

4 of 12 modelsGreenhouse 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

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Perplexity SonarModernLoop alternatives: GoodTime, Lever
Llama 4 MaverickModernLoop alternatives: Greenhouse, Lever
GLM 4.7 FlashXModernLoop alternatives: GoodTime, Lever, candidate.fyi

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniGoodTime alternatives: Ashby, Calendly
Gemini 3.5 FlashModernLoop alternatives: Ashby, 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
Lever leads by two points.
Lever2%#7 of 11
Greenhouse0%#8 of 11
The full small business standing →
Mid-marketThe figures above
The order flips: Greenhouse leads at mid-market.
Greenhouse13%#3 of 11
Lever8%#6 of 11
The full mid-market standing →
Enterprise
Greenhouse leads by seven points.
Greenhouse7%#3 of 9
Lever0%#8 of 9
The full enterprise standing →

What the models said about Greenhouse

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

“Expensive, longer setup (4-8 wks), quote-only ... they're overkill (and 2-5x costlier) for most mid-sized B2B ops” Grok 4.1 Fast · paraphrase prompt · soft negative
“Greenhouse is a strong fit for mid-size to enterprise companies with dedicated recruiting teams managing high volumes of interviews” Claude Haiku 4.5 · 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.