Lever vs Workable
One of twelve models named Lever first on the direct prompt; one named Workable. Both were named by all twelve models and Lever carries 43 labels and Workable 36, so the shares are not directly comparable.
Named in nine categories this edition.
Named in nine categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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
LeverFirst choices, of twelve modelsWorkable
Across every category in the September 2026 Edition, Lever and Workable were named in the same answer ninety-eight times, of the 255 answers naming Lever and the 288 naming Workable. In those answers Workable took the first choice seventeen times and Lever 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 | | | |
Lever Workable first choice named as an alternative argued againstblank: not namedEach cell is one answer, Lever on the left and Workable on the right.The direct prompt
Lever first, Workable an alternative
1 of 12 modelsWorkable was named in the answer but not as the choice, or not at all.Workable first, Lever not the choice
1 of 12 modelsLever was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
9 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 of 12 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
Workable20%#2 of 11Lever2%#9 of 11Lever7%#4 of 13Workable4%#6 of 13Workable7%#– of 8Lever0%#7 of 8What the models said about Lever
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“avoid these on a limited budget” DeepSeek V4 Flash · budget prompt · hard negative
“Cons: Analytics are historically less robust than Ashby; since acquisition by Employ Inc., some users report slower product development cycles.” Gemini 3.5 Flash · scale prompt · soft negative
What the models said about Workable
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.