Two of fourteen models named Zoho Expense first on the direct prompt; zero named Navan. Both were named by all fourteen models and Zoho Expense carries 51 labels and Navan 42, so the shares are not directly comparable.
Named in five categories this edition.
Named in six 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 expense management page.
Across every category in the November 2026 Edition, Zoho Expense and Navan were named in the same answer sixty-two times, of the 211 answers naming Zoho Expense and the 366 naming Navan. In those answers Navan took the first choice six times and Zoho Expense six.
| 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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Zoho Expense stands out as the best expense management software for companies with a limited budget” Grok 4.20 · budget prompt · first choice
“For the tightest budgets: Start with Zoho Expense (free plan) or Wave (completely free).” 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.