Ashby vs Lever
Two of fourteen models named Ashby first on the direct prompt; one named Lever. Ashby was named by fourteen of the fourteen models and Lever by thirteen and Ashby carries 32 labels and Lever 44, so the shares are not directly comparable.
Named in eight 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
AshbyFirst choices, of fourteen modelsLever
Across every category in the October 2026 Edition, Ashby and Lever were named in the same answer eighty-nine times, of the 173 answers naming Ashby and the 307 naming Lever. In those answers Lever took the first choice five times and Ashby eight.
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 | | | |
Ashby Lever first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ashby on the left and Lever on the right.The direct prompt
Ashby first, Lever an alternative
2 of 14 modelsLever was named in the answer but not as the choice, or not at all.Lever first, Ashby not the choice
1 of 14 modelsAshby was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 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
What the models said about Ashby
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Ashby if data-driven decisions and pipeline nurturing are your top priorities.” GLM 4.7 FlashX · paraphrase prompt · first choice
“The ultimate analytics-first platform for modern, data-obsessed recruiting teams.” Gemini 3.5 Flash · comparative prompt · first choice
“Ashby: A fast-rising favorite for tech and high-growth mid-market companies.” Gemini 3.5 Flash · scale 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.