Zero of fourteen models named Joiin first on the direct prompt; zero named Oracle NetSuite. Joiin was named by ten of the fourteen models and Oracle NetSuite by thirteen and both carry 15 labels, so the shares below are directly comparable.
Named in two categories this edition.
Named in twenty 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 consolidation 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. Three of four in this category shown.
“Joiin is the clear winner... Go with Joiin if you just want to get your consolidated P&L and Balance Sheet done quickly, accurately, and for the lowest price possible.” Gemini 3.5 Flash · budget prompt · first choice
“Joiin - Starting at $23/month, specifically designed for small businesses and advisors with multi-entity consolidation needs. Highly rated (4.7/5)” MiniMax M2.5 · budget prompt · first choice
“Start with Joiin. It is purpose-built for multi-entity consolidation at the lowest price point” Kimi K2 · budget prompt · first choice
No label in this category carried a quote.
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.