365Talents vs Gloat
One of fourteen models named 365Talents first on the direct prompt; zero named Gloat. 365Talents was named by seven of the fourteen models and Gloat by fourteen and 365Talents carries 16 labels and Gloat 40, 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.
By framing
365TalentsFirst choices, of fourteen modelsGloat
Across every category in the November 2026 Edition, 365Talents and Gloat were named in the same answer sixty-six times, of the 101 answers naming 365Talents and the 328 naming Gloat. In those answers Gloat took the first choice twelve times and 365Talents three.
Every model, every framing
| 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 | | | | |
365Talents Gloat first choice named as an alternative argued againstblank: not namedEach cell is one answer, 365Talents on the left and Gloat on the right.The direct prompt
365Talents first, Gloat not the choice
1 of 14 modelsGloat was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
365Talents6%#4 of 13Gloat4%#5 of 13Gloat61%#1 of 10365Talents0%#8 of 10What the models said about 365Talents
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“use quote-based pricing and are generally oriented toward larger organizations” Perplexity Sonar · budget prompt · soft negative
“their pricing is custom/quote-only and demo only in most comparison tables” Muse Glimmer 30B · budget prompt · soft negative
What the models said about Gloat
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Enterprise platforms to skip: Gloat, Fuel50, Eightfold AI, Workday Talent Marketplace, and SAP SuccessFactors” DeepSeek V4 Flash · budget prompt · hard negative
“Gloat helps enterprises build internal opportunity marketplaces that support full-time roles, projects, short-term gigs, mentorships, and learning-driven mobility.” Claude Haiku 4.5 · comparative prompt · first choice
“Most mature two-sided marketplace; matches employees to full-time roles, gigs, projects, mentorships; serves 1.5M+ employees at Fortune 500s” DeepSeek V4 Flash · comparative prompt · first choice
“Best overall enterprise talent marketplace for large organizations building AI-driven internal mobility and skills-based workforce systems.” Muse Glimmer 30B · comparative 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.