Zero of fourteen models named 365Talents first on the direct prompt; zero named Phenom. 365Talents was named by ten of the fourteen models and Phenom by eight and 365Talents carries 16 labels and Phenom 11, so the shares are not directly comparable.
Named in three 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 internal talent marketplace 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. One of one in this category shown.
“The recommended internal mobility platform for a mid-sized B2B company is 365Talents.” Llama 4 Maverick · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Platforms to Skip... Phenom — ... leans more toward hiring/career sites than pure internal mobility” DeepSeek V4 Flash · paraphrase prompt · hard negative
“Beamery / Phenom — Primarily talent acquisition tools; more suited for external hiring volume” DeepSeek V4 Flash · direct prompt · hard 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.