Lever vs Ashby
Three of fourteen models named Lever first on the direct prompt; one named Ashby. Lever was named by twelve of the fourteen models and Ashby by eleven and Lever carries 34 labels and Ashby 18, so the shares are not directly comparable.
Named in thirteen categories this edition.
Named in eight 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 interview scheduling page.
By framing
LeverFirst choices, of fourteen modelsAshby
Across every category in the October 2026 Edition, Lever and Ashby were named in the same answer eighty-nine times, of the 307 answers naming Lever and the 173 naming Ashby. In those answers Ashby took the first choice eight times and Lever five.
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 | |
Lever Ashby first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lever on the left and Ashby on the right.The direct prompt
Lever first, Ashby not the choice
3 of 14 modelsAshby was named in the answer but not as the choice, or not at all.Ashby first, Lever not the choice
1 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
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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
Lever11%#3 of 12Ashby2%#8 of 12Lever0%#13 of 13Ashby0%#11 of 13What the models said about Lever
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid full ATS suites like Lever/Greenhouse unless free tiers suffice, as they're pricier for scale.” Grok 4.1 Fast · budget prompt · hard negative
“their native scheduling tools are decent for simple 1:1s, but they lack advanced interviewer load balancing” Gemini 3.5 Flash · direct prompt · soft negative
“Lever - Best for mid-market to enterprise teams hiring at scale... AI-native recruiting platform with scheduling” Llama 4 Maverick · direct prompt · first choice
What the models said about Ashby
No label in this category carried a quote.
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.