Fathom vs Cube
Zero of fourteen models named Fathom first on the direct prompt; two named Cube. Fathom was named by eleven of the fourteen models and Cube by thirteen and Fathom carries 13 labels and Cube 51, 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 FP&A platforms page.
By framing
FathomFirst choices, of fourteen modelsCube
Across every category in the October 2026 Edition, Fathom and Cube were named in the same answer sixty-nine times, of the 216 answers naming Fathom and the 365 naming Cube. In those answers Cube took the first choice twelve times and Fathom 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 | | | | |||
| GPT-6 Luna | | |||||
| Muse Glimmer 30B | | | |
Fathom Cube first choice named as an alternative argued againstblank: not namedEach cell is one answer, Fathom on the left and Cube on the right.The direct prompt
Cube first, Fathom not the choice
2 of 14 modelsFathom was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 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
Fathom0%#– of 14Cube0%#13 of 14What the models said about Fathom
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“users report missing features, upload/import problems, and limited customization” GPT-5.4 mini · negative prompt · soft negative
“For quick implementation: Cloud-based tools like Fathom or Finmark offer fast setup with reasonable pricing.” MiniMax M2.5 · budget prompt · first choice
“Top pick for budget-conscious SMBs ... Try Fathom's free trial—it's the sweet spot for cost vs. features.” Grok 4.1 Fast · budget prompt · first choice
“Start with Syft Analytics (free tier) or Fathom (~$44/month) if you need integrated forecasting.” Kimi K2 · budget prompt · first choice
What 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.
“Options to Avoid on a Limited Budget ... Cube — Starts around $1,250–$2,000/month” DeepSeek V4 Flash · budget prompt · hard negative
“These are usually priced per *user*... For 10+ users, the cost will escalate rapidly” Qwen 3.7 Flash · budget prompt · soft negative
“Best for: Lean finance teams ($20M–$150M in revenue) looking for rapid implementation... exceptionally fast "time-to-first-forecast"” Gemini 3.5 Flash · paraphrase prompt · first choice
“Cube is the strongest default recommendation because it is repeatedly positioned as the best small-business FP&A option” Perplexity Sonar · 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.