AI Indexes
HR AI Index
Index › Talent acquisition › Recruiting CRM › Lever vs Greenhouse
Recruiting CRM and sourcing · October 2026 Edition

Lever vs Greenhouse

Four 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 nine and Lever carries 17 labels and Greenhouse 13, so the shares are not directly comparable.

Lever

accepted challenger

Named in thirteen categories this edition.

Greenhouse

accepted challenger

Named in thirteen categories this edition.

First-choice share15%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 10; printed, not drawn.
Labels1713A 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.Gem was named alongside these two in nine of the fourteen direct answers. Gem vs Lever · Gem vs Greenhouse · Lever vs Manatal

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 Recruiting CRM and sourcing 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
Direct40
Paraphrase42
Comparative00
Budget-constrained00
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.

Across every category in the October 2026 Edition, Lever and Greenhouse were named in the same answer 245 times, of the 307 answers naming Lever and the 454 naming Greenhouse. In those answers Greenhouse took the first choice fifty-four times and Lever fourteen.

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 4.1 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 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.

Lever first, Greenhouse an alternative

4 of 14 modelsGreenhouse was named in the answer but not as the choice, or not at all.
Grok 4.1 FastLever alternatives: Gem, Greenhouse, Pin, Workable, hireEZ
Mistral SmallLever alternatives: Guideflow, Intervue, Pin
MiniMax M2.5Lever alternatives: Pin, Recruit CRM
Muse Glimmer 30BLever alternatives: Gem, Workable, hireEZ

Neither was the first choice, one was named

1 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashGem alternatives: Greenhouse, Lever, Workable

Neither was named

9 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Jobvite, Workable alternatives: Gem, hireEZ
GPT-5.4 miniLinkedIn Recruiter alternatives: Hiring Pro
Gemini 3.5 FlashGem alternatives: Juicebox, hireEZ
Perplexity SonarGem, hireEZ alternatives: Fetcher, Findem, SeekOut
Llama 4 Maverickno first choice
Qwen 3.7 FlashGem alternatives: Apollo.io, SeekOut
Kimi K2Gem, hireEZ alternatives: LinkedIn Recruiter, SeekOut
GLM 4.7 FlashXno first choice
GPT-6 LunaGem alternatives: LinkedIn Recruiter, SeekOut

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%#– of 12
Greenhouse0%#– of 12
The full small business standing →
Mid-marketThe figures above
Lever leads by eleven points.
Lever15%#2 of 10
Greenhouse4%#8 of 10
The full mid-market standing →
Enterprise
The order flips: Greenhouse leads at enterprise.
Greenhouse4%#8 of 12
Lever0%#10 of 12
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. One of one in this category shown.

“Lever stands out as a top choice because it integrates sourcing, nurturing, and applicant tracking into a single system” Mistral Small · direct 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.