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Skills intelligence · October 2026 Edition

MuchSkills vs Fuel50

Zero of fourteen models named MuchSkills first on the direct prompt; two named Fuel50. MuchSkills was named by eight of the fourteen models and Fuel50 by eleven and MuchSkills carries 11 labels and Fuel50 14, so the shares are not directly comparable.

MuchSkills

accepted challenger

Named in one category this edition.

Fuel50

accepted challenger

Named in six categories this edition.

First-choice share5%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%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.
Labels1114A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, MuchSkills reading right to left. Rank and label count are printed, not drawn.Skills Base vs MuchSkills · Skills Base vs Fuel50 · TalentGuard vs MuchSkills

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 skills intelligence page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
MuchSkillsFirst choices, of fourteen modelsFuel50
Direct02
Paraphrase00
Comparative00
Budget-constrained20
Scale-constrained10
Negative00
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where MuchSkills 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
GPT-6 Luna
Muse Glimmer 30B
MuchSkills Fuel50 first choice named as an alternative argued againstblank: not namedEach cell is one answer, MuchSkills on the left and Fuel50 on the right.

The direct prompt

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

Fuel50 first, MuchSkills not the choice

2 of 14 modelsMuchSkills was named in the answer but not as the choice, or not at all.
Mistral SmallFuel50, Neobrain alternatives: TalentGuard, TechWolf
MiniMax M2.5Fuel50, iMocha Skills Intelligence Cloud alternatives: Bryq, Engagedly, TalentGuard WorkforceGPT

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5INOP alternatives: Fuel50, Skillsoft Percipio
Gemini 3.5 FlashiMocha alternatives: Fuel50, Retrain.ai, TalentGuard
Grok 4.1 FastTalentGuard, iMocha alternatives: 365Talents, Engagedly, Fuel50, Gloat
Kimi K2TalentGuard alternatives: 365Talents, Fuel50, TechWolf, iMocha
GLM 4.7 FlashXiMocha alternatives: 365Talents, Fuel50

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 mini365Talents alternatives: Eightfold AI, SkillPanel
Perplexity Sonar365Talents alternatives: Docebo, Workday Skills Cloud
DeepSeek V4 FlashTalentGuard alternatives: Lightcast Open Skills, iMocha
Llama 4 Maverickno first choice
Qwen 3.7 FlashTalentGuard, TechWolf alternatives: AG5, Eightfold AI, Gloat, iMocha
GPT-6 LunaWorkday Skills Cloud alternatives: TechWolf
Muse Glimmer 30BTalentGuard alternatives: Eightfold AI, SAP SuccessFactors Skills, Skills Base, Workday Skills Cloud

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
MuchSkills leads by two points.
MuchSkills2%#5 of 11
Fuel500%#– of 11
The full small business standing →
Mid-marketThe figures above
MuchSkills leads by two points.
MuchSkills5%#6 of 16
Fuel504%#7 of 16
The full mid-market standing →
Enterprise
The order flips: Fuel50 leads at enterprise.
Fuel502%#6 of 14
MuchSkills0%#– of 14
The full enterprise standing →

What the models said about MuchSkills

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

“MuchSkills: Excellent for professional services, engineering, or project-heavy companies needing beautiful, easy-to-read skill matrices and CV builders.” Gemini 3.5 Flash · scale prompt · first choice
“I'd recommend starting with a free trial from Pin or MuchSkills to evaluate which features best match your organization's needs.” Claude Haiku 4.5 · budget prompt · first choice
“Skills Base or MuchSkills are particularly recommended” Mistral Small · budget prompt · first choice

What the models said about Fuel50

No label in this category carried a quote.

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.