Zero of twelve models named PartnerStack first on the direct prompt; zero named ZINFI. PartnerStack was named by nine of the twelve models and ZINFI by ten and PartnerStack carries 11 labels and ZINFI 20, so the shares are not directly comparable.
Named in six categories this edition.
Named in two 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 channel partner and local marketing 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. One of one in this category shown.
“PartnerStack if you're a B2B software company and want a partner ecosystem platform that's strong on scaling recruitment, management, and payouts” GPT-5.4 mini · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“ZINFI if you need modern UX or HubSpot-native integration” Kimi K2 · negative prompt · hard negative
“Allbound or ZINFI likely offer the best balance of capability and cost” Kimi K2 · scale prompt · first choice
“Need partner marketing | ZINFI (modular pricing)” MiniMax M2.5 · 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.