One of fourteen models named Procurify first on the direct prompt; zero named Expensify. Procurify was named by twelve of the fourteen models and Expensify by ten and Procurify carries 34 labels and Expensify 21, so the shares are not directly comparable.
Named in six categories this edition.
Named in seven 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 spend management platforms 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 4.20 | ||||||
| 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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Who Should Avoid It: Companies looking for transparent, predictable pricing models and high-touch customer support.” Gemini 3.5 Flash · negative prompt · hard negative
“I would recommend steering clear of it if you can.” Muse Glimmer 30B · negative prompt · hard negative
“1. Expensify – Starting at $5/user/month - Best for: Small teams needing basic expense tracking” MiniMax M2.5 · budget prompt · first choice
“The Best Overall Value: Expensify ... widely considered the gold standard for usability” Qwen 3.7 Flash · 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.