HR AI Index
Index › Performance and talent management › Skills intelligence › 365Talents vs Eightfold AI
Skills intelligence · September 2026 Edition

365Talents vs Eightfold AI

Zero of twelve models named 365Talents first on the direct prompt; two named Eightfold AI. 365Talents was named by seven of the twelve models and Eightfold AI by twelve and 365Talents carries 11 labels and Eightfold AI 27, so the shares are not directly comparable.

365Talents

accepted challenger

Named in three categories this edition.

Eightfold AI

criticized challenger

Named in eleven categories this edition.

First-choice share6%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%59%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#6#7A position in a field of 16; printed, not drawn.
Labels1127A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, 365Talents reading right to left. Rank and label count are printed, not drawn.TalentGuard was named alongside these two in nine of the twelve direct answers. TalentGuard vs 365Talents · TalentGuard vs Eightfold AI · Skills Base vs 365Talents

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 skills intelligence page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
365TalentsFirst choices, of twelve modelsEightfold AI
Direct027 against Eightfold AI
Paraphrase204 against Eightfold AI
Comparative02
Budget-constrained003 against Eightfold AI
Scale-constrained102 against Eightfold AI
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where 365Talents and Eightfold AI stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
365Talents Eightfold AI first choice named as an alternative argued againstblank: not namedEach cell is one answer, 365Talents on the left and Eightfold AI on the right.

The direct prompt

The plain question, one answer per model, grouped by where 365Talents and Eightfold AI stood in it.

Eightfold AI first, 365Talents not the choice

2 of 12 models365Talents was named in the answer but not as the choice, or not at all.
GPT-5.4 miniEightfold AI, SkillPanel alternatives: Fuel50, Retrain.ai, Workday Skills Cloud
Qwen 3.7 FlashEightfold AI alternatives: Clad.io, DeepSkill, Gloat, Lightcast Open Skills

Neither was the first choice, one was named

2 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Kimi K2TalentGuard alternatives: 365Talents, Engagedly, Fuel50, TechWolf
MiniMax M2.5TalentGuard alternatives: 365Talents, Gloat

Neither was named

8 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5TalentGuard alternatives: Amplemarket, iMocha
Gemini 3.5 FlashCareer Bird alternatives: Docebo, Fuel50, Workera
Perplexity SonarTalentGuard alternatives: INOP, SkillPanel, Skills Base, iMocha
Grok 4.1 FastTalentGuard, iMocha alternatives: Fuel50
Mistral SmallTalentGuard, iMocha alternatives: Bryq, INOP
DeepSeek V4 FlashFuel50, TalentGuard alternatives: MuchSkills, Skills Base
Llama 4 MaverickTalentGuard alternatives: Criteria Corp, Engagedly, iMocha
GLM 4.7 FlashXiMocha alternatives: MuchSkills, Skills Base, TalentGuard

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Level: the same share of first choices.
365Talents0%#– of 10
Eightfold AI0%#10 of 10
The full small business standing →
Mid-marketThe figures above
365Talents leads by two points.
365Talents6%#6 of 16
Eightfold AI4%#7 of 16
The full mid-market standing →
Enterprise
The order flips: Eightfold AI leads at enterprise.
Eightfold AI33%#1 of 10
365Talents0%#8 of 10
The full enterprise standing →

What 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.

“365Talents as your primary skills intelligence platform (best fit for mid-market companies specifically)” DeepSeek V4 Flash · paraphrase prompt · first choice
“specialized mid-market platforms like TechWolf, 365Talents, or SkillPanel may be a better fit” DeepSeek V4 Flash · scale prompt · first choice

What the models said about Eightfold AI

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Gloat and Eightfold AI ... bring enterprise-grade complexity, cost, and lengthy implementations that usually overkill mid-market budgets” DeepSeek V4 Flash · direct prompt · hard negative
“The Best All-Rounder (AI & Talent Acquisition) Eightfold AI Eightfold is widely considered the leader in the skills-based movement” Qwen 3.7 Flash · direct prompt · first choice
Also compared
TalentGuard vs 365TalentsTalentGuard vs Eightfold AISkills Base vs 365TalentsSkills Base vs Eightfold AIiMocha vs 365TalentsiMocha vs Eightfold AILightcast Open Skills vs 365TalentsLightcast Open Skills vs Eightfold AITechWolf vs 365TalentsTechWolf vs Eightfold AI365Talents vs Fuel50Eightfold AI vs Fuel50All twenty-eight head-to-head pages and the full skills intelligence standing

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.