Greenhouse vs Workable
Twelve of fourteen models named Greenhouse first on the direct prompt; zero named Workable. Both were named by all fourteen models and Greenhouse carries 55 labels and Workable 37, 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
GreenhouseFirst choices, of fourteen modelsWorkable
Across every category in the October 2026 Edition, Greenhouse and Workable were named in the same answer 129 times, of the 454 answers naming Greenhouse and the 327 naming Workable. In those answers Workable took the first choice nineteen times and Greenhouse thirty.
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 | | | |
Greenhouse Workable first choice named as an alternative argued againstblank: not namedEach cell is one answer, Greenhouse on the left and Workable on the right.The direct prompt
Greenhouse first, Workable an alternative
12 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
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.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 11Greenhouse2%#8 of 11Greenhouse40%#1 of 15Workable9%#4 of 15Greenhouse37%#1 of 9Workable4%#– of 9What the models said about Greenhouse
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“pick a structured, recruiting-first platform like Greenhouse or iCIMS when consistency, reporting and hiring manager adoption are priorities” Muse Glimmer 30B · comparative prompt · first choice
“Ranked #1 ATS on G2's Winter 2026 reports across Overall, Enterprise, Mid-Market, and EMEA categories with a 98% user satisfaction rate” Claude Haiku 4.5 · direct 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.