Precoro vs Tradogram
Two of fourteen models named Precoro first on the direct prompt; zero named Tradogram. Precoro was named by twelve of the fourteen models and Tradogram by nine and Precoro carries 23 labels and Tradogram 14, so the shares are not directly comparable.
Named in five categories this edition.
Named in three 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 strategic sourcing page.
By framing
PrecoroFirst choices, of fourteen modelsTradogram
Across every category in the October 2026 Edition, Precoro and Tradogram were named in the same answer 122 times, of the 287 answers naming Precoro and the 152 naming Tradogram. In those answers Tradogram took the first choice thirty-one times and Precoro thirty-one.
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 4.1 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 | | | |
Precoro Tradogram first choice named as an alternative argued againstblank: not namedEach cell is one answer, Precoro on the left and Tradogram on the right.The direct prompt
Precoro first, Tradogram not the choice
2 of 14 modelsTradogram 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
5 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
Tradogram31%#1 of 10Precoro11%#2 of 10Precoro13%#2 of 14Tradogram13%#3 of 14Precoro0%#– of 8Tradogram0%#– of 8What 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.
“I'd suggest starting with Loopio if your primary need is RFP response management, or Precoro if you need broader procurement automation” MiniMax M2.5 · paraphrase prompt · first choice
What the models said about Tradogram
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Free tier (5 transactions/month) for testing; paid plans scale affordably but limited for ongoing use.” Grok 4.1 Fast · budget prompt · soft negative
“A cloud-based e-sourcing and procurement platform built for small and mid-sized organizations... Pricing starts with a free tier” Claude Haiku 4.5 · 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.