Two of fourteen models named Pin first on the direct prompt; zero named Gem. Pin was named by eleven of the fourteen models and Gem by ten and both carry 15 labels, so the shares below are directly comparable.
Named in five categories this edition.
Named in eight 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 4.20 | ||||||
| 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 |
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. Two of two in this category shown.
“Pin with its free tier / $99-100/mo plans and Lessie AI as the "fast, affordable, action-oriented sourcing" pick are the consensus budget options in 2026.” Muse Glimmer 30B · budget prompt · first choice
“Start with SeekOut or Pin if your primary need is sourcing intelligence at a reasonable price point.” Kimi K2 · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Enterprise suites like Beamery, Eightfold, Phenom, Gem are described as stronger on workforce analytics but "cost far more."” Muse Glimmer 30B · budget 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.