Compensation management · October 2026 Edition
Comprehensive vs Paycom
Two of fourteen models named Comprehensive first on the direct prompt; one named Paycom. Comprehensive was named by eight of the fourteen models and Paycom by nine and Comprehensive carries 16 labels and Paycom 17, so the shares are not directly comparable.
Named in two categories this edition.
Named in fourteen categories this edition.
First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%12%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 13; printed, not drawn.
Labels1617A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Comprehensive reading right to left. Rank and label count are printed, not drawn.Pave vs Comprehensive · Pave vs Paycom · Ravio vs Comprehensive
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.
ComprehensiveFirst choices, of fourteen modelsPaycom
Direct21
Paraphrase21
Comparative00
Budget-constrained00
Scale-constrained101 against Paycom
Negative001 against Paycom
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 Comprehensive and Paycom 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 | | | ||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | |
Comprehensive Paycom first choice named as an alternative argued againstblank: not namedEach cell is one answer, Comprehensive on the left and Paycom on the right.The direct prompt
The plain question, one answer per model, grouped by where Comprehensive and Paycom stood in it.
Comprehensive first, Paycom not the choice
2 of 14 modelsPaycom was named in the answer but not as the choice, or not at all.DeepSeek V4 FlashComprehensive, Pave alternatives: CaptivateIQ, Lattice Compensation, Payscale Ascent
Kimi K2Comprehensive alternatives: CaptivateIQ, Lattice Compensate, Pave, Ravio
Paycom first, Comprehensive not the choice
1 of 14 modelsComprehensive was named in the answer but not as the choice, or not at all.Grok 4.1 FastPaycom alternatives: Comprehensive.io, HiBob, QuotaPath, Salary.com, Visdum
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.GLM 4.7 FlashXPayscale Ascent alternatives: BambooHR Compensation, CompUp, Comprehensive, Figures, Lattice Compensate, Pave, Paycor, Ravio
Neither was named
10 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5HiBob alternatives: Qobra, Salary.com, Visdum, beqom
GPT-5.4 miniCaptivateIQ alternatives: Everstage, QuotaPath, Spiff
Gemini 3.5 FlashCaptivateIQ, Pave alternatives: Barley, Everstage, HiBob, QuotaPath, Salesforce Spiff
Perplexity SonarCompport alternatives: CaptivateIQ, CompUp, HiBob, Payscale Ascent, Ravio
Mistral SmallRavio alternatives: CompUp, Pave, Payscale, beqom
Llama 4 MaverickCompUp, Paylocity
Qwen 3.7 FlashQuotaPath alternatives: Paylocity, Performio, Ravio, Visdum
MiniMax M2.5CompUp alternatives: CaptivateIQ, Figures, Paylocity, Pequity
GPT-6 LunaCaptivateIQ alternatives: Lattice Compensation, Payscale, Performio, Salesforce Spiff
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
Comprehensive leads by four points.
Comprehensive4%#6 of 16Paycom0%#15 of 16Mid-marketThe figures above
Comprehensive leads by five points.
Comprehensive9%#3 of 13Paycom4%#6 of 13Enterprise
Level: the same share of first choices.
Comprehensive0%#– of 15Paycom0%#– of 15What the models said about Comprehensive
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Prioritize platforms like Comprehensive, Figures.hr, Salary.com CompAnalyst, Paycom, or Ravio, which are frequently recommended for this size” Grok 4.1 Fast · scale prompt · first choice
“Start with Comprehensive if you want an all-in-one platform for salary planning, equity management, and compensation reviews” Kimi K2 · paraphrase prompt · first choice
“I'd recommend evaluating Compport and Comprehensive first since both are specifically positioned for mid-market companies.” Claude Haiku 4.5 · paraphrase prompt · first choice
What the models said about Paycom
No label in this category carried a quote.
Also compared
Pave vs ComprehensivePave vs PaycomRavio vs ComprehensiveRavio vs PaycomComprehensive vs CompUpComprehensive vs CaptivateIQComprehensive vs BambooHR CompensationComprehensive vs HiBobCompUp vs PaycomCaptivateIQ vs PaycomPaycom vs BambooHR CompensationPaycom vs HiBobAll twenty-eight head-to-head pages and the full compensation management 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.