Figures vs CompUp
Three of fourteen models named Figures first on the direct prompt; zero named CompUp. Figures was named by twelve of the fourteen models and CompUp by eleven and Figures carries 22 labels and CompUp 17, 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 pay equity page.
By framing
FiguresFirst choices, of fourteen modelsCompUp
Across every category in the November 2026 Edition, Figures and CompUp were named in the same answer fifteen times, of the 57 answers naming Figures and the 59 naming CompUp. In those answers CompUp took the first choice three times and Figures five.
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 | | | |
Figures CompUp first choice named as an alternative argued againstblank: not namedEach cell is one answer, Figures on the left and CompUp on the right.The direct prompt
Figures first, CompUp an alternative
3 of 14 modelsCompUp was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 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
Figures14%#1 of 15CompUp6%#7 of 15Figures0%#– of 7CompUp0%#– of 7What the models said about Figures
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“some tools are noted as not suitable for companies under 150 employees (e.g., Figures)” DeepSeek V4 Flash · negative prompt · soft negative
“That makes Figures a good fit for a mid-sized B2B company with US + EU exposure that wants market data, pay bands and reporting in one system.” Muse Glimmer 30B · paraphrase prompt · first choice
“Figures (from figures.hr) stands out as the best pay equity analysis software for a mid-market B2B company.” Grok 4.20 · direct prompt · first choice
“Figures and Ravio are the most recommended due to their focus on mid-market needs” Mistral Small · paraphrase prompt · first choice
What the models said about CompUp
No label in this category carried a quote.
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.