Aeqium vs CompUp
Three of fourteen models named Aeqium first on the direct prompt; one named CompUp. Aeqium was named by thirteen of the fourteen models and CompUp by seven and Aeqium carries 32 labels and CompUp 13, so the shares are not directly comparable.
Named in three 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 management page.
By framing
AeqiumFirst choices, of fourteen modelsCompUp
Across every category in the November 2026 Edition, Aeqium and CompUp were named in the same answer eighteen times, of the 77 answers naming Aeqium and the 59 naming CompUp. In those answers CompUp took the first choice one time and Aeqium two.
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 4.20 | | | ||||
| 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 | | | |
Aeqium CompUp first choice named as an alternative argued againstblank: not namedEach cell is one answer, Aeqium on the left and CompUp on the right.The direct prompt
Aeqium first, CompUp not the choice
3 of 14 modelsCompUp was named in the answer but not as the choice, or not at all.CompUp first, Aeqium not the choice
1 of 14 modelsAeqium was named in the answer but not as the choice, or not at all.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.Neither was named
6 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
Aeqium23%#2 of 18CompUp9%#3 of 18CompUp5%#– of 17Aeqium2%#12 of 17What the models said about Aeqium
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best for mid-sized organizations (200 to 6,000 employees) replacing spreadsheet merit planning and prioritizing fast implementation” Claude Haiku 4.5 · paraphrase prompt · first choice
“Aeqium, Pave, and Lattice are the top recommendations due to their balance of features, scalability, and user-friendliness” Mistral Small · paraphrase prompt · first choice
“Start with SalaryCube or Aeqium for dedicated compensation management with strong mid-market capabilities.” GLM 4.7 FlashX · paraphrase prompt · first choice
What the models said about CompUp
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“CompUp offers the best value at $3/employee/year with strong reviews and dedicated mid-market features.” MiniMax M2.5 · direct prompt · first choice
“Start with Aeqium (free) or CompUp (~$3/user/month) for general compensation planning.” Kimi K2 · budget prompt · first choice
“CompUp appears to be the best dedicated compensation-management option” Perplexity Sonar · budget 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.