Six of twelve models named Compt first on the direct prompt; zero named Rippling. Compt was named by twelve of the twelve models and Rippling by nine and Compt carries 39 labels and Rippling 13, so the shares are not directly comparable.
Named in two categories this edition.
Named in twenty-eight 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 flexible benefits and lifestyle spending accounts 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. Three of four in this category shown.
“The best lifestyle spending account platform for a company with a limited budget is Compt, as it is the top-ranked LSA provider for 2026” Llama 4 Maverick · budget prompt · first choice
“Compt stands out as one of the best lifestyle spending account (LSA) platforms, especially for small to medium-sized businesses” Grok 4.1 Fast · budget prompt · first choice
“Prioritize platforms with proven mid-market success (e.g., Compt for reimbursements, Benepass for cards).” Grok 4.1 Fast · scale 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.