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Index › Compensation and total rewards › Compensation management › CompUp vs CaptivateIQ
Compensation management · October 2026 Edition

CompUp vs CaptivateIQ

Two of fourteen models named CompUp first on the direct prompt; three named CaptivateIQ. CompUp was named by eight of the fourteen models and CaptivateIQ by eleven and CompUp carries 14 labels and CaptivateIQ 18, so the shares are not directly comparable.

CompUp

accepted challenger

Named in three categories this edition.

CaptivateIQ

accepted challenger

Named in two categories this edition.

First-choice share9%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%6%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#5A position in a field of 13; printed, not drawn.
Labels1418A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, CompUp reading right to left. Rank and label count are printed, not drawn.Pave vs CompUp · Pave vs CaptivateIQ · Ravio vs CompUp

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 compensation management page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
CompUpFirst choices, of fourteen modelsCaptivateIQ
Direct23
Paraphrase10
Comparative01
Budget-constrained201 against CaptivateIQ
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 CompUp and CaptivateIQ 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
CompUp CaptivateIQ first choice named as an alternative argued againstblank: not namedEach cell is one answer, CompUp on the left and CaptivateIQ on the right.

The direct prompt

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

CompUp first, CaptivateIQ an alternative

2 of 14 modelsCaptivateIQ was named in the answer but not as the choice, or not at all.
Llama 4 MaverickCompUp, Paylocity
MiniMax M2.5CompUp alternatives: CaptivateIQ, Figures, Paylocity, Pequity

CaptivateIQ first, CompUp not the choice

3 of 14 modelsCompUp was named in the answer but not as the choice, or not at all.
GPT-5.4 miniCaptivateIQ alternatives: Everstage, QuotaPath, Spiff
Gemini 3.5 FlashCaptivateIQ, Pave alternatives: Barley, Everstage, HiBob, QuotaPath, Salesforce Spiff
GPT-6 LunaCaptivateIQ alternatives: Lattice Compensation, Payscale, Performio, Salesforce Spiff

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.
Perplexity SonarCompport alternatives: CaptivateIQ, CompUp, HiBob, Payscale Ascent, Ravio
Mistral SmallRavio alternatives: CompUp, Pave, Payscale, beqom
DeepSeek V4 FlashComprehensive, Pave alternatives: CaptivateIQ, Lattice Compensation, Payscale Ascent
Kimi K2Comprehensive alternatives: CaptivateIQ, Lattice Compensate, Pave, Ravio
GLM 4.7 FlashXPayscale Ascent alternatives: BambooHR Compensation, CompUp, Comprehensive, Figures, Lattice Compensate, Pave, Paycor, Ravio

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5HiBob alternatives: Qobra, Salary.com, Visdum, beqom
Grok 4.1 FastPaycom alternatives: Comprehensive.io, HiBob, QuotaPath, Salary.com, Visdum
Qwen 3.7 FlashQuotaPath alternatives: Paylocity, Performio, Ravio, Visdum
Muse Glimmer 30Bno first choice

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
CompUp leads by four points.
CompUp4%#– of 16
CaptivateIQ0%#– of 16
The full small business standing →
Mid-marketThe figures above
CompUp leads by four points.
CompUp9%#4 of 13
CaptivateIQ5%#5 of 13
The full mid-market standing →
Enterprise
Level: the same share of first choices.
CompUp2%#– of 15
CaptivateIQ2%#9 of 15
The full enterprise standing →

What the models said about CompUp

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

“CompUp appears particularly well-suited for mid-market and enterprise organizations running complex, multi-country compensation cycles.” MiniMax M2.5 · direct prompt · first choice

What the models said about CaptivateIQ

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

“most commission tools (like Spiff or CaptivateIQ) are prohibitively expensive for tight budgets” Gemini 3.5 Flash · budget prompt · soft negative
“CaptivateIQ is built for finance/comp admins who think in spreadsheets and need to model plan changes before rollout” Kimi K2 · comparative prompt · first choice
“CaptivateIQ (Best for Complex Plan Logic) ... The "industry standard" for mid-market to enterprise B2B teams” Gemini 3.5 Flash · direct prompt · first choice
“CaptivateIQ is my best default pick for a mid-market team” GPT-6 Luna · 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.