Zero of twelve models named Invoicemonk first on the direct prompt; one named Tipalti. Invoicemonk was named by ten of the twelve models and Tipalti by ten and Invoicemonk carries 10 labels and Tipalti 14, so the shares are not directly comparable.
Named in one category this edition.
Named in twelve 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 global e-invoicing compliance 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.
“For a general small business needing multi-country compliance on a tight budget, Invoicemonk ($15/mo) or Zoho Invoice (Free/Low-cost) are currently the most cost-effective” Qwen 3.7 Flash · budget prompt · first choice
“My recommendation for most small budget-conscious companies: Start with Invoicemonk ($15/month flat, global compliance)” DeepSeek V4 Flash · budget prompt · first choice
“The best e-invoicing compliance platform for a company with a limited budget is Invoicemonk, which is free to start” Llama 4 Maverick · 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.