One of fourteen models named Workable first on the direct prompt; three named Gem. Workable was named by twelve of the fourteen models and Gem by eight and Workable carries 18 labels and Gem 12, so the shares are not directly comparable.
Named in thirteen categories this edition.
Named in seven 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 recruitment marketing and career sites page.
| 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 |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“they may not be beneficial if your recruitment pipelines are already cold or inactive” Mistral Small · negative prompt · soft negative
“Gem is the best overall due to its strong automation, CRM, and AI features, as well as its high user satisfaction and mid-market focus.” Mistral Small · direct prompt · first choice
“Look for modern, agile platforms (such as Gem, Clinch, or Teamtailor) where implementation takes weeks, not quarters.” Gemini 3.5 Flash · 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.