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Skills intelligence · October 2026 Edition

iMocha vs Fuel50

Three of fourteen models named iMocha first on the direct prompt; two named Fuel50. iMocha was named by twelve of the fourteen models and Fuel50 by eleven and iMocha carries 19 labels and Fuel50 14, so the shares are not directly comparable.

iMocha

accepted challenger

Named in four categories this edition.

Fuel50

accepted challenger

Named in six categories this edition.

First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate5%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#7A position in a field of 16; printed, not drawn.
Labels1914A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, iMocha reading right to left. Rank and label count are printed, not drawn.Skills Base vs iMocha · Skills Base vs Fuel50 · TalentGuard vs iMocha

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.
iMochaFirst choices, of fourteen modelsFuel50
Direct32
Paraphrase201 against iMocha
Comparative10
Budget-constrained00
Scale-constrained00
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 iMocha 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
iMocha Fuel50 first choice named as an alternative argued againstblank: not namedEach cell is one answer, iMocha on the left and Fuel50 on the right.

The direct prompt

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

iMocha first, Fuel50 an alternative

3 of 14 modelsFuel50 was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashiMocha alternatives: Fuel50, Retrain.ai, TalentGuard
Grok 4.1 FastTalentGuard, iMocha alternatives: 365Talents, Engagedly, Fuel50, Gloat
GLM 4.7 FlashXiMocha alternatives: 365Talents, Fuel50

Fuel50 first, iMocha not the choice

2 of 14 modelsiMocha 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

4 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
DeepSeek V4 FlashTalentGuard alternatives: Lightcast Open Skills, iMocha
Qwen 3.7 FlashTalentGuard, TechWolf alternatives: AG5, Eightfold AI, Gloat, iMocha
Kimi K2TalentGuard alternatives: 365Talents, Fuel50, TechWolf, iMocha

Neither was named

5 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
Llama 4 Maverickno first choice
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
iMocha leads by seven points.
iMocha7%#3 of 11
Fuel500%#– of 11
The full small business standing →
Mid-marketThe figures above
iMocha leads by five points.
iMocha9%#3 of 16
Fuel504%#7 of 16
The full mid-market standing →
Enterprise
Level: the same share of first choices.
iMocha2%#8 of 14
Fuel502%#6 of 14
The full enterprise standing →

What the models said about iMocha

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

“overkill and cost-prohibitive for most mid-sized B2B firms” DeepSeek V4 Flash · paraphrase prompt · soft negative
“look at Degreed, 360Learning, Cornerstone, iMocha, or Acorn; ... if you want skills verification, look at iMocha” Perplexity Sonar · comparative prompt · first choice
“combined with iMocha or Textkernel Skills Intelligence API for inference capabilities” Grok 4.1 Fast · paraphrase prompt · first choice
“I'd recommend starting with iMocha ... Best all-around choice: iMocha” GPT-5.4 mini · paraphrase prompt · first choice

What the models said about Fuel50

No label in this category carried a quote.

Also compared
Skills Base vs iMochaSkills Base vs Fuel50TalentGuard vs iMochaTalentGuard vs Fuel50iMocha vs 365TalentsiMocha vs TechWolfiMocha vs MuchSkillsiMocha vs Gloat365Talents vs Fuel50TechWolf vs Fuel50MuchSkills vs Fuel50Fuel50 vs GloatAll 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.