Workable vs Greenhouse
Three of fourteen models named Workable first on the direct prompt; three named Greenhouse. Workable was named by thirteen of the fourteen models and Greenhouse by fourteen and Workable carries 33 labels and Greenhouse 34, so the shares are not directly comparable.
Named in fourteen categories this edition.
Named in fourteen 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 AI recruiting assistants page.
By framing
WorkableFirst choices, of fourteen modelsGreenhouse
Across every category in the November 2026 Edition, Workable and Greenhouse were named in the same answer 153 times, of the 367 answers naming Workable and the 456 naming Greenhouse. In those answers Greenhouse took the first choice twenty-four times and Workable thirty-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 4.20 | | | | |||
| 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 Greenhouse first choice named as an alternative argued againstblank: not namedEach cell is one answer, Workable on the left and Greenhouse on the right.The direct prompt
Both were the first choice
2 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Workable first, Greenhouse not the choice
1 of 14 modelsGreenhouse was named in the answer but not as the choice, or not at all.Greenhouse first, Workable not the choice
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
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
Workable13%#3 of 11Greenhouse0%#10 of 11Workable23%#1 of 13Greenhouse8%#4 of 13What the models said about Workable
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Workable and Greenhouse are the best AI recruiters, with Workable being especially popular for its balance of AI features, ease of use, and value for mid-sized teams.” Mistral Small · direct prompt · first choice
What the models said about Greenhouse
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Avoid Greenhouse unless you specifically need enterprise-grade structured hiring workflows and are comfortable with custom pricing in the $10K+ range.” Kimi K2 · direct prompt · soft negative
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.