Cube vs Datarails
One of fourteen models named Cube first on the direct prompt; zero named Datarails. Cube was named by nine of the fourteen models and Datarails by eight and Cube carries 15 labels and Datarails 12, so the shares are not directly comparable.
Named in nine categories this edition.
Named in ten 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 November 2026 Edition, Cube and Datarails were named in the same answer 222 times, of the 352 answers naming Cube and the 406 naming Datarails. In those answers Datarails took the first choice eighteen times and Cube thirty-seven.
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 |
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
1 of 14 modelsDatarails 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
10 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 13Datarails0%#– of 13What the models said about Cube
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Perform especially rigorous reference checks, security reviews, roadmap validation, and integration testing.” Perplexity Sonar · negative prompt · soft negative
“Choose tools like Cube, Datarails, or Centage, which can be configured internally or with minimal vendor onboarding support.” Gemini 3.5 Flash · budget prompt · first choice
“If you need a paid tool, shortlist Cube for a lean finance team that mainly needs budgeting, forecasting, and reporting.” GPT-6 Luna · budget prompt · first choice
“Start with Cube or LiveFlow — they integrate with tools you already use and have lower implementation costs.” Kimi K2 · 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. One of one in this category shown.
“Choose tools like Cube, Datarails, or Centage, which can be configured internally or with minimal vendor onboarding support.” Gemini 3.5 Flash · 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.