Ashby vs Workable
Two of fourteen models named Ashby first on the direct prompt; zero named Workable. Both were named by all fourteen models and Ashby carries 32 labels and Workable 37, 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 modelsWorkable
Across every category in the October 2026 Edition, Ashby and Workable were named in the same answer fifty-one times, of the 173 answers naming Ashby and the 327 naming Workable. In those answers Workable took the first choice seven times and Ashby nine.
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 Workable first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ashby on the left and Workable on the right.The direct prompt
Ashby first, Workable not the choice
2 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
9 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
Workable16%#3 of 11Ashby5%#5 of 11Ashby10%#3 of 15Workable9%#4 of 15Workable4%#– of 9Ashby2%#7 of 9What 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 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
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.