Greenhouse vs Lever
Six 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 57 labels and Lever 50, so the shares are not directly comparable.
Named in fourteen categories this edition.
Named in twelve 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 November 2026 Edition, Greenhouse and Lever were named in the same answer 236 times, of the 456 answers naming Greenhouse and the 264 naming Lever. In those answers Lever took the first choice eight times and Greenhouse forty-six.
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 4.20 | | | | | | |
| 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 | | | | |
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
5 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
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.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
Greenhouse0%#13 of 14Lever0%#10 of 14Greenhouse30%#1 of 17Lever5%#6 of 17Greenhouse42%#1 of 10Lever4%#5 of 10What the models said about Greenhouse
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Avoid expensive enterprise systems like Greenhouse or Lever unless you have the scale” Qwen 3.7 Flash · budget prompt · hard negative
“Greenhouse is the most cited leader for structured, process-heavy hiring with interview kits, scorecards and deep reporting built for mid-market and enterprise teams.” Muse Glimmer 30B · paraphrase prompt · first choice
“Best Overall for Most Mid-Market B2B Teams: Greenhouse – Excels in structured hiring, detailed reporting/analytics, and scalability.” Grok 4.20 · direct prompt · first choice
“The gold standard for mid-market and scaling tech firms focusing on \u2018Structured Hiring\u2019 to eliminate bias.” Muse Glimmer 30B · comparative 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. Four of four in this category shown.
“Avoid expensive enterprise systems like Greenhouse or Lever unless you have the scale” Qwen 3.7 Flash · budget prompt · hard negative
“Works adequately for tracking candidates (though some users find it lacking in reporting and sourcing)” GLM 4.7 FlashX · negative prompt · soft negative
“Top Pick: Lever ... Choose Lever if you want the best balance of functionality, scalability, and modern features” Kimi K2 · paraphrase prompt · first choice
“Lever / Greenhouse: The gold standard for scaling tech companies. Highly customizable, great analytics” Qwen 3.7 Flash · 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.