Loopio vs 1up
Twelve of fourteen models named Loopio first on the direct prompt; zero named 1up. Loopio was named by fourteen of the fourteen models and 1up by eleven and Loopio carries 64 labels and 1up 21, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category 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 RFP response software page.
By framing
LoopioFirst choices, of fourteen models1up
Across every category in the November 2026 Edition, Loopio and 1up were named in the same answer forty-nine times, of the 273 answers naming Loopio and the 56 naming 1up. In those answers 1up took the first choice thirteen times and Loopio twelve.
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 4.20 | | | | | | |
| 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 | | | | |
Loopio 1up first choice named as an alternative argued againstblank: not namedEach cell is one answer, Loopio on the left and 1up on the right.The direct prompt
Loopio first, 1up not the choice
12 of 14 models1up was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Loopio31%#1 of 111up7%#4 of 11What the models said about Loopio
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid ... Loopio ... often require custom quotes typically ranging from $15,000 to $25,000+ per year” Qwen 3.7 Flash · budget prompt · hard negative
“Avoid (Unless Budget Allows Later): Loopio | Requires a custom quote; ... still enterprise-oriented.” Kimi K2 · budget prompt · hard negative
“Avoid enterprise tools like Responsive (formerly RFPIO), Loopio, or full AutoRFP.ai” Grok 4.20 · budget prompt · hard negative
“Loopio — Often the top-rated for mid-market. Excellent content library, strong AI suggestions, clean collaboration, great Salesforce integration.” Grok 4.20 · scale prompt · first choice
“Prefer specialized RFP response platforms ... (e.g., Responsive/formerly RFPIO, Loopio, or alternatives like RocketDocs, Tribble, or AutoRFP.ai)” Grok 4.20 · negative prompt · first choice
“the two names that consistently top the lists for RFP response / Strategic Response Management are Responsive, formerly RFPIO, and Loopio” Muse Glimmer 30B · direct prompt · first choice
What the models said about 1up
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Offers a free plan and a 14-day trial, making it a great choice for budget-conscious teams... ranked as the top RFP response software in 2026 for value for money” Mistral Small · budget prompt · first choice
“Stick to tools specifically designed for RFP workflows, such as Loopio, Qvidian, or Arphie/1up” Mistral Small · negative prompt · first choice
“1up if you want a completely free option to start” 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.