One of fourteen models named HubSpot Marketing Hub first on the direct prompt; zero named Apollo.io. HubSpot Marketing Hub was named by fourteen of the fourteen models and Apollo.io by eleven and HubSpot Marketing Hub carries 53 labels and Apollo.io 12, so the shares are not directly comparable.
By HubSpot, Cambridge, United States, founded 2006. Named in twenty-nine categories this edition.
San Francisco, United States, founded 2015. Named in twenty-two 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 account-based marketing platforms 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 4.20 | ||||||
| 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 |
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.
“Pricing traps: Unexpected subscription costs, sudden auto-upgrades locking users into higher fees” Kimi K2 · negative prompt · hard 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.
“Best for early-stage ABM teams that need to identify, research, and contact target accounts without spending $50K+ on an enterprise platform” 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.