Cube vs Datarails
One of twelve models named Cube first on the direct prompt; one named Datarails. Both were named by all twelve models and Cube carries 37 labels and Datarails 45, 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 twelve 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 FP&A platforms page.
By framing
CubeFirst choices, of twelve modelsDatarails
Across every category in the September 2026 Edition, Cube and Datarails were named in the same answer 149 times, of the 311 answers naming Cube and the 273 naming Datarails. In those answers Datarails took the first choice eighteen times and Cube seventeen.
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 | | |
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 12 modelsDatarails was named in the answer but not as the choice, or not at all.Datarails first, Cube not the choice
1 of 12 modelsCube was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 12 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
What 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.
“Avoid pricier ones like Jirav (~$10K/year), Cube/Datarails ($1K+/month)” Grok 4.1 Fast · budget prompt · hard negative
“you quickly hit "guardrails"... still prone to broken formulas, version-control friction, and performance lag” Gemini 3.5 Flash · negative prompt · soft negative
What the models said about Datarails
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“The Pitfall (specifically Datarails): ... its pricing has risen significantly... the ROI may not add up.” Gemini 3.5 Flash · negative prompt · hard negative
“Avoid pricier ones like Jirav (~$10K/year), Cube/Datarails ($1K+/month)” Grok 4.1 Fast · budget prompt · hard negative
“Datarails is often the strongest all-around pick — Excel-based, strong consolidation and variance analysis, faster to ROI” DeepSeek V4 Flash · direct prompt · first choice
“Start with Datarails or Vena if your team is comfortable in Excel and wants minimal disruption” Kimi K2 · 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.