Greenhouse vs Lever
Twelve of fourteen models named Greenhouse first on the direct prompt; one named Lever. Greenhouse was named by fourteen of the fourteen models and Lever by thirteen and Greenhouse carries 55 labels and Lever 44, so the shares are not directly comparable.
Named in thirteen categories this edition.
Named in thirteen categories this edition.
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 applicant tracking systems page.
By framing
GreenhouseFirst choices, of fourteen modelsLever
Across every category in the October 2026 Edition, Greenhouse and Lever were named in the same answer 245 times, of the 454 answers naming Greenhouse and the 307 naming Lever. In those answers Lever took the first choice fourteen times and Greenhouse fifty-four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | |
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
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Greenhouse first, Lever an alternative
11 of 14 modelsLever was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.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
Greenhouse40%#1 of 15Lever7%#6 of 15Greenhouse37%#1 of 9Lever2%#6 of 9What 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.
“pick a structured, recruiting-first platform like Greenhouse or iCIMS when consistency, reporting and hiring manager adoption are priorities” Muse Glimmer 30B · comparative prompt · first choice
“Ranked #1 ATS on G2's Winter 2026 reports across Overall, Enterprise, Mid-Market, and EMEA categories with a 98% user satisfaction rate” 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. One of one in this category shown.
“focus on mid-market fits like Lever (CRM-strong), Greenhouse (structured processes), Workable (affordable scaling)” Grok 4.1 Fast · scale prompt · first choice
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.