Zero of fourteen models named Dock first on the direct prompt; zero named Arrows. Dock was named by fourteen of the fourteen models and Arrows by seven and Dock carries 40 labels and Arrows 13, so the shares are not directly comparable.
San Francisco, United States, founded 2021. Named in eight 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 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 client onboarding 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 4.1 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 |
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.
No label in this category carried a quote.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“Start with Arrows if you're already on HubSpot or Salesforce — it's affordable, easy to implement, and eliminates tool switching” Kimi K2 · paraphrase prompt · first choice
“Arrows if you're strongly standardized on HubSpot ... One caveat: Arrows announced a strategic shift in August 2026” GPT-6 Luna · paraphrase prompt · alternative
“Pick this if you're HubSpot-native—streamlined for end-to-end journeys in one ecosystem.” Grok 4.1 Fast · paraphrase prompt · alternative
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.