Cube vs Kyriba
Three of fourteen models named Cube first on the direct prompt; zero named Kyriba. Cube was named by twelve of the fourteen models and Kyriba by eleven and Cube carries 21 labels and Kyriba 22, so the shares are not directly comparable.
Named in eight 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 cash flow forecasting page.
By framing
CubeFirst choices, of fourteen modelsKyriba
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 | |
Cube Kyriba first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cube on the left and Kyriba on the right.The direct prompt
Cube first, Kyriba not the choice
3 of 14 modelsKyriba was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 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
Cube0%#– of 12Kyriba0%#– of 12Kyriba24%#1 of 12Cube0%#– of 12What the models said about Cube
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Spreadsheet-Native or Excel-Based Tools (e.g., ... heavy reliance in Cube, Vena, Datarails): Prone to manual errors” Grok 4.1 Fast · negative prompt · soft negative
“Best for mid-market finance teams ($10M–$300M revenue) that run planning in spreadsheets and want structure, automation, and AI analysis layered on top” Llama 4 Maverick · direct prompt · first choice
What the models said about Kyriba
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“I recommend Kyriba for a mid-sized B2B company looking for comprehensive cash management solutions.” GLM 4.7 FlashX · 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.