Skills intelligence · September 2026 Edition
Skills Base vs Fuel50
Zero of twelve models named Skills Base first on the direct prompt; one named Fuel50. Skills Base was named by eight of the twelve models and Fuel50 by seven and both carry 12 labels, so the shares below are directly comparable.
Named in one category this edition.
Named in six categories this edition.
First-choice share17%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%8%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 16; printed, not drawn.
Labels1212Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Skills Base 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 Skills Base · TalentGuard vs Fuel50 · Skills Base vs iMocha
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.
Skills BaseFirst choices, of twelve modelsFuel50
Direct01
Paraphrase00
Comparative01
Budget-constrained801 against Fuel50
Scale-constrained00
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 Skills Base and Fuel50 stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | | |||||
| Gemini 3.5 Flash | | | | |||
| Perplexity Sonar | | | ||||
| Grok 4.1 Fast | | | ||||
| Mistral Small | | |||||
| DeepSeek V4 Flash | | | | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | | | ||||
| Kimi K2 | | | ||||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | |
Skills Base Fuel50 first choice named as an alternative argued againstblank: not namedEach cell is one answer, Skills Base on the left and Fuel50 on the right.The direct prompt
The plain question, one answer per model, grouped by where Skills Base and Fuel50 stood in it.
Fuel50 first, Skills Base an alternative
1 of 12 modelsSkills Base 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
6 of 12 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniEightfold AI, SkillPanel alternatives: Fuel50, Retrain.ai, Workday Skills Cloud
Gemini 3.5 FlashCareer Bird alternatives: Docebo, Fuel50, Workera
Perplexity SonarTalentGuard alternatives: INOP, SkillPanel, Skills Base, iMocha
Grok 4.1 FastTalentGuard, iMocha alternatives: Fuel50
Kimi K2TalentGuard alternatives: 365Talents, Engagedly, Fuel50, TechWolf
GLM 4.7 FlashXiMocha alternatives: MuchSkills, Skills Base, TalentGuard
Neither was named
5 of 12 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5TalentGuard alternatives: Amplemarket, iMocha
Mistral SmallTalentGuard, iMocha alternatives: Bryq, INOP
Llama 4 MaverickTalentGuard alternatives: Criteria Corp, Engagedly, iMocha
Qwen 3.7 FlashEightfold AI alternatives: Clad.io, DeepSkill, Gloat, Lightcast Open Skills
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
Skills Base leads by thirty-five points.
Skills Base35%#1 of 10Fuel500%#– of 10Mid-marketThe figures above
Skills Base leads by fifteen points.
Skills Base17%#2 of 16Fuel502%#8 of 16Enterprise
The order flips: Fuel50 leads at enterprise.
Fuel505%#6 of 10Skills Base2%#– of 10What the models said about Skills Base
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“the best practical choice is usually Skills Base if you want a dedicated skills management platform with strong value for SMBs” Perplexity Sonar · budget prompt · first choice
“Best Overall Value & "Spreadsheet Killer": Skills Base ... is the industry standard for budget-conscious companies” Gemini 3.5 Flash · budget prompt · first choice
“Skills Base (starting at ~$2–$2.25 per user per month with a free tier) ... are the most practical entry points.” GLM 4.7 FlashX · budget 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
TalentGuard vs Skills BaseTalentGuard vs Fuel50Skills Base vs iMochaSkills Base vs Lightcast Open SkillsSkills Base vs TechWolfSkills Base vs 365TalentsSkills Base vs Eightfold AIiMocha vs Fuel50Lightcast Open Skills vs Fuel50TechWolf vs Fuel50365Talents 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.