Workable vs Lever
Zero of fourteen models named Workable first on the direct prompt; one named Lever. Workable was named by fourteen of the fourteen models and Lever by thirteen and Workable carries 37 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
WorkableFirst choices, of fourteen modelsLever
Across every category in the October 2026 Edition, Workable and Lever were named in the same answer ninety-nine times, of the 327 answers naming Workable and the 307 naming Lever. In those answers Lever took the first choice eleven times and Workable fifteen.
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 | | | |
Workable Lever first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workable on the left and Lever on the right.The direct prompt
Lever first, Workable an alternative
1 of 14 modelsWorkable was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
11 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
Workable16%#3 of 11Lever4%#6 of 11What the models said about Workable
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Considerations: Higher entry price; per‑seat or tiered pricing as you scale.” GLM 4.7 FlashX · budget prompt · soft negative
“costs a fraction of enterprise tools like Workable or Greenhouse” DeepSeek V4 Flash · budget prompt · soft negative
“Workable is a top mid-market choice for teams that need full ATS functionality without enterprise complexity, starting at $299/month flat.” Llama 4 Maverick · paraphrase prompt · first choice
“I'd lean toward Workable as a strong starting point due to its transparent pricing, fast implementation, and robust AI features” Kimi K2 · paraphrase 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.