Three of fourteen models named hireEZ first on the direct prompt; zero named Fuel50. hireEZ was named by eleven of the fourteen models and Fuel50 by seven and hireEZ carries 27 labels and Fuel50 11, so the shares are not directly comparable.
Named in five categories this edition.
Named in six 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 talent intelligence 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. Four of four in this category shown.
“Platforms to Avoid on a Tight Budget: HireEZ - Starts at $494/month” Kimi K2 · budget prompt · hard negative
“HireEZ has faced severe backlash regarding privacy and data hygiene.” Qwen 3.7 Flash · negative prompt · hard negative
“I'd recommend starting with hireEZ or Metaview due to their balance of functionality, mid-market pricing, and B2B relevance” MiniMax M2.5 · direct prompt · first choice
“HireEZ is the most frequently recommended talent intelligence / sourcing platform for that segment in 2026 buyer guides.” Muse Glimmer 30B · 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.