Two of fourteen models named hireEZ first on the direct prompt; zero named Greenhouse. hireEZ was named by fourteen of the fourteen models and Greenhouse by nine and hireEZ carries 27 labels and Greenhouse 13, so the shares are not directly comparable.
Named in five 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 Recruiting CRM and sourcing 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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“In recruiting/talent sourcing tools (e.g., LinkedIn Recruiter, HireEZ, SeekOut): Be cautious of platforms with outdated/stale data” Grok 4.1 Fast · negative prompt · soft negative
“Top tools for your size (per 2026 reviews): HireEZ (AI/multi-source), SeekOut (diversity), Gem (ATS-native).” Grok 4.1 Fast · scale prompt · first choice
“the strongest overall candidate sourcing tool is HireEZ if your priority is *dedicated sourcing*” Perplexity Sonar · direct prompt · first choice
No label in this category carried a quote.
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.