Precoro vs Ivalua
Three of fourteen models named Precoro first on the direct prompt; zero named Ivalua. Precoro was named by fourteen of the fourteen models and Ivalua by thirteen and Precoro carries 39 labels and Ivalua 25, so the shares are not directly comparable.
Named in six 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 supplier management page.
By framing
PrecoroFirst choices, of fourteen modelsIvalua
Across every category in the November 2026 Edition, Precoro and Ivalua were named in the same answer ninety-one times, of the 352 answers naming Precoro and the 326 naming Ivalua. In those answers Ivalua took the first choice seven times and Precoro seventeen.
Every model, every framing
| 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 | | | |
Precoro Ivalua first choice named as an alternative argued againstblank: not namedEach cell is one answer, Precoro on the left and Ivalua on the right.The direct prompt
Precoro first, Ivalua not the choice
3 of 14 modelsIvalua was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.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.
By buyer segment
Precoro29%#1 of 9Ivalua0%#7 of 9Ivalua11%#3 of 9Precoro2%#– of 9What the models said about Precoro
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Why be cautious: ... noted for having limited positive feedback and are considered less robust” Mistral Small · negative prompt · soft negative
What the models said about Ivalua
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“What to Avoid - SAP Ariba, Coupa, Ivalua — ... overkill for most mid-sized companies” Kimi K2 · paraphrase prompt · hard negative
“Avoid pure enterprise tools like SAP Ariba, Coupa, Ivalua, or Jaggaer” Grok 4.20 · direct 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.