Three of fourteen models named Drivetrain first on the direct prompt; zero named Prophix. Drivetrain was named by seven of the fourteen models and Prophix by seven and Drivetrain carries 11 labels and Prophix 10, so the shares are not directly comparable.
Named in five categories this edition.
Named in nine 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 financial modeling and scenario planning page.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Choose Drivetrain if you are a fast-growing B2B/SaaS company looking for quick time-to-value, strong AI features, and deep SaaS metric modeling.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Drivetrain – Built specifically for B2B strategic finance, targeting mid-market companies” MiniMax M2.5 · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Prophix, Oracle Cloud EPM, SAP Analytics Cloud: Full-featured, complex” GLM 4.7 FlashX · scale prompt · soft negative
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.