Cube vs Datarails
Two of fourteen models named Cube first on the direct prompt; one named Datarails. Cube was named by ten of the fourteen models and Datarails by eight and Cube carries 21 labels and Datarails 19, so the shares are not directly comparable.
Named in eight categories this edition.
Named in eight 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 corporate performance management page.
By framing
CubeFirst choices, of fourteen modelsDatarails
Across every category in the October 2026 Edition, Cube and Datarails were named in the same answer 188 times, of the 365 answers naming Cube and the 323 naming Datarails. In those answers Datarails took the first choice fifteen times and Cube twenty-one.
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 Datarails first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cube on the left and Datarails on the right.The direct prompt
Cube first, Datarails an alternative
2 of 14 modelsDatarails was named in the answer but not as the choice, or not at all.Datarails first, Cube an alternative
1 of 14 modelsCube 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
Cube0%#– of 12Datarails0%#– of 12What the models said about Cube
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Excel/Google Sheets-like interface; quick setup for forecasting/reporting; good for startups/small finance teams avoiding big implementations.” Grok 4.1 Fast · budget prompt · first choice
What the models said about Datarails
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Excel-based tools (e.g., Vena, Datarails): Lack enterprise scalability—avoid for large orgs.” Grok 4.1 Fast · negative prompt · hard negative
“I'd recommend Datarails as a strong starting point in the Corporate Performance Management (CPM) or FP&A platform space.” Grok 4.1 Fast · 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.