OnRamp vs Arrows
Two of fourteen models named OnRamp first on the direct prompt; zero named Arrows. OnRamp was named by ten of the fourteen models and Arrows by seven and OnRamp carries 19 labels and Arrows 13, so the shares are not directly comparable.
Named in two 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.
By framing
OnRampFirst choices, of fourteen modelsArrows
Across every category in the October 2026 Edition, OnRamp and Arrows were named in the same answer seventeen times, of the 60 answers naming OnRamp and the 42 naming Arrows. In those answers Arrows took the first choice one time and OnRamp two.
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 | |
OnRamp Arrows first choice named as an alternative argued againstblank: not namedEach cell is one answer, OnRamp on the left and Arrows on the right.The direct prompt
OnRamp first, Arrows an alternative
2 of 14 modelsArrows was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
What the models said about OnRamp
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“making it ideal for mid-market and enterprise companies handling complex implementation processes” Claude Haiku 4.5 · direct prompt · first choice
“OnRamp ⭐ Best Overall for Mid-Market” Kimi K2 · direct prompt · first choice
“OnRamp if you want a CS-oriented platform focused on reusable playbooks... Its published pricing starts at $15,000” GPT-6 Luna · direct prompt · alternative
What the models said about Arrows
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.