SalaryCube vs Salary.com CompAnalyst
Five of fourteen models named SalaryCube first on the direct prompt; zero named Salary.com CompAnalyst. SalaryCube was named by nine of the fourteen models and Salary.com CompAnalyst by twelve and SalaryCube carries 12 labels and Salary.com CompAnalyst 24, so the shares are not directly comparable.
Named in two categories this edition.
Named in three categories this edition.
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 benchmarking data page.
By framing
SalaryCubeFirst choices, of fourteen modelsSalary.com CompAnalyst
Across every category in the October 2026 Edition, SalaryCube and Salary.com CompAnalyst were named in the same answer fifteen times, of the 37 answers naming SalaryCube and the 94 naming Salary.com CompAnalyst. In those answers Salary.com CompAnalyst took the first choice three times and SalaryCube four.
Every model, every framing
| 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 | | |
SalaryCube Salary.com CompAnalyst first choice named as an alternative argued againstblank: not namedEach cell is one answer, SalaryCube on the left and Salary.com CompAnalyst on the right.The direct prompt
SalaryCube first, Salary.com CompAnalyst an alternative
5 of 14 modelsSalary.com CompAnalyst was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 of 14 modelsThe answer made no first choice from these two in this category.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
Salary.com CompAnalyst7%#4 of 9SalaryCube2%#– of 9SalaryCube10%#3 of 13Salary.com CompAnalyst9%#4 of 13SalaryCube5%#4 of 12Salary.com CompAnalyst0%#10 of 12What the models said about SalaryCube
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Good modern alternative, but less brand recognition and narrower vendor ecosystem.” DeepSeek V4 Flash · direct prompt · soft negative
“SalaryCube "leads for most U.S. organizations due to its daily-updated Bigfoot Live system, transparent pricing, and fast implementation."” Muse Glimmer 30B · direct prompt · first choice
“SalaryCube and Ravio are frequently recommended due to their comprehensive data, ease of use, and fit for mid-market needs.” Mistral Small · direct prompt · first choice
“start with SalaryCube—it's highlighted as the deepest fit in multiple independent comparisons for your scale” Grok 4.1 Fast · direct prompt · first choice
What the models said about Salary.com CompAnalyst
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Avoid expensive enterprise solutions like PayScale (~$12,000+/year) or Salary.com” MiniMax M2.5 · budget prompt · hard negative
“Best all-around validated survey for mid-size: Compdata Max / Salary.com. Explicitly called out as best all-around for mid-sized companies.” Muse Glimmer 30B · paraphrase prompt · first choice
“Best Balance of Depth & Accessibility ... Salary.com or Mercer will give you the broad industry coverage you need” Kimi K2 · paraphrase prompt · first choice
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.