Nine of twelve models named Procurify first on the direct prompt; zero named Tradogram. Procurify was named by eleven of the twelve models and Tradogram by ten and Procurify carries 23 labels and Tradogram 11, so the shares are not directly comparable.
Named in seven categories this edition.
Named in four 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 supplier management page.
Across every category in the September 2026 Edition, Procurify and Tradogram were named in the same answer eighty times, of the 209 answers naming Procurify and the 148 naming Tradogram. In those answers Tradogram took the first choice twenty times and Procurify twelve.
| 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. One of one in this category shown.
“but it ies typically more of a mid-market choice than the cheapest one” GPT-5.4 mini · budget 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.
“Tradogram (Best Free Option) ... Truly minimal budget / starting out: Start with Tradogram's free plan” DeepSeek V4 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.