One of twelve models named Agicap first on the direct prompt; two named Abacum. Agicap was named by eleven of the twelve models and Abacum by eleven and Agicap carries 24 labels and Abacum 17, so the shares are not directly comparable.
Named in three categories this edition.
Named in five 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 cash flow forecasting 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 |
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.
“Caution level: High — but not a flat "avoid"” DeepSeek V4 Flash · negative prompt · soft negative
“For most mid‑sized B2B companies ... Agicap is the most frequently recommended option in recent reviews.” MiniMax M2.5 · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Abacum (not for enterprises)” Grok 4.1 Fast · negative prompt · soft negative
“Best overall for mid-market FP&A and scenario planning: Abacum” Perplexity Sonar · direct prompt · first choice
“Abacum — Best overall for mid-market FP&A teams” DeepSeek V4 Flash · direct 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.