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Index Performance and talent management Skills intelligence › Eightfold AI vs Fuel50
Skills intelligence · September 2026 Edition

Eightfold AI vs Fuel50

Two of twelve models named Eightfold AI first on the direct prompt; one named Fuel50. Eightfold AI was named by twelve of the twelve models and Fuel50 by seven and Eightfold AI carries 27 labels and Fuel50 12, so the shares are not directly comparable.

Eightfold AI

criticized challenger

Named in eleven categories this edition.

Fuel50

accepted challenger

Named in six categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate59%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 16; printed, not drawn.
Labels2712A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Eightfold AI 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 Eightfold AI · TalentGuard vs Fuel50 · Skills Base vs Eightfold AI

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.
Eightfold AIFirst choices, of twelve modelsFuel50
Direct217 against Eightfold AI
Paraphrase004 against Eightfold AI
Comparative21
Budget-constrained003 against Eightfold AI · 1 against Fuel50
Scale-constrained002 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.

Across every category in the September 2026 Edition, Eightfold AI and Fuel50 were named in the same answer 130 times, of the 494 answers naming Eightfold AI and the 176 naming Fuel50. In those answers Fuel50 took the first choice twenty-three times and Eightfold AI seventeen.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Eightfold AI and Fuel50 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
Eightfold AI Fuel50 first choice named as an alternative argued againstblank: not namedEach cell is one answer, Eightfold AI on the left and Fuel50 on the right.

The direct prompt

The plain question, one answer per model, grouped by where Eightfold AI and Fuel50 stood in it.

Eightfold AI first, Fuel50 an alternative

2 of 12 modelsFuel50 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

Fuel50 first, Eightfold AI not the choice

1 of 12 modelsEightfold AI was named in the answer but not as the choice, or not at all.
DeepSeek V4 FlashFuel50, TalentGuard alternatives: MuchSkills, Skills Base

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashCareer Bird alternatives: Docebo, Fuel50, Workera
Grok 4.1 FastTalentGuard, iMocha alternatives: Fuel50
Kimi K2TalentGuard alternatives: 365Talents, Engagedly, Fuel50, TechWolf

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5TalentGuard alternatives: Amplemarket, iMocha
Perplexity SonarTalentGuard alternatives: INOP, SkillPanel, Skills Base, iMocha
Mistral SmallTalentGuard, iMocha alternatives: Bryq, INOP
Llama 4 MaverickTalentGuard alternatives: Criteria Corp, Engagedly, iMocha
GLM 4.7 FlashXiMocha alternatives: MuchSkills, Skills Base, TalentGuard
MiniMax M2.5TalentGuard alternatives: 365Talents, Gloat

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.
Eightfold AI0%#10 of 10
Fuel500%#– of 10
The full small business standing →
Mid-marketThe figures above
Eightfold AI leads by two points.
Eightfold AI4%#7 of 16
Fuel502%#8 of 16
The full mid-market standing →
Enterprise
Eightfold AI leads by twenty-eight points.
Eightfold AI33%#1 of 10
Fuel505%#6 of 10
The full enterprise standing →

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

What the models said about Fuel50

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

“Best overall for enterprise — maps employee skills, career paths, and internal mobility, with gap analysis tied to learning evidence.” DeepSeek V4 Flash · comparative prompt · first choice
“I'd shortlist TalentGuard ... and Fuel50 (if you want higher-fidelity skills intelligence with proven inference)” DeepSeek V4 Flash · direct prompt · first choice
Also compared

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.