Zero of fourteen models named Ramp first on the direct prompt; zero named Melio. Both were named by all fourteen models and Ramp carries 45 labels and Melio 19, so the shares are not directly comparable.
Named in seventeen categories this edition.
Named in eight 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 accounts payable automation page.
Across every category in the October 2026 Edition, Ramp and Melio were named in the same answer 153 times, of the 1084 answers naming Ramp and the 292 naming Melio. In those answers Melio took the first choice forty times and Ramp thirty-seven.
| 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. One of one in this category shown.
“Ramp can be cost-effective for card-first teams, but finance teams needing robust, real-time AP-to-ERP workflows ... often find the AP layer thin.” Muse Glimmer 30B · negative prompt · soft negative
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Some users report payments debited from their account but never reaching vendors” Kimi K2 · negative prompt · hard 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.