ModernLoop vs Cal.com
Four of fourteen models named ModernLoop first on the direct prompt; one named Cal.com. ModernLoop was named by thirteen of the fourteen models and Cal.com by ten and ModernLoop carries 26 labels and Cal.com 21, so the shares are not directly comparable.
Named in one category 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 interview scheduling page.
By framing
ModernLoopFirst choices, of fourteen modelsCal.com
Across every category in the October 2026 Edition, ModernLoop and Cal.com were named in the same answer twenty-eight times, of the 88 answers naming ModernLoop and the 83 naming Cal.com. In those answers Cal.com took the first choice thirteen times and ModernLoop three.
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 | | |
ModernLoop Cal.com first choice named as an alternative argued againstblank: not namedEach cell is one answer, ModernLoop on the left and Cal.com on the right.The direct prompt
ModernLoop first, Cal.com not the choice
4 of 14 modelsCal.com was named in the answer but not as the choice, or not at all.Cal.com first, ModernLoop not the choice
1 of 14 modelsModernLoop was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
Cal.com3%#6 of 15ModernLoop0%#14 of 15ModernLoop9%#4 of 12Cal.com8%#6 of 12What the models said about ModernLoop
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“they're overkill for a budget-conscious small company” DeepSeek V4 Flash · budget prompt · hard negative
“you don't need to spend thousands of dollars on enterprise-grade recruiting software like GoodTime or ModernLoop” Gemini 3.5 Flash · budget prompt · soft negative
“My default pick: ModernLoop—if you’re a mid-market B2B company with a dedicated recruiting team and regular multi-person interview panels.” GPT-6 Luna · direct prompt · first choice
“Platforms like candidate.fyi, GoodTime, and ModernLoop are specifically designed to handle complex, multi-stage panel loops” Gemini 3.5 Flash · scale prompt · first choice
“Top Pick: ModernLoop ... widely considered the gold standard for mid-market recruiting teams” Gemini 3.5 Flash · direct prompt · first choice
What the models said about Cal.com
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.
“If you want a modern standalone tool for $0: Go with Cal.com (to create multiple interview types for free)” Gemini 3.5 Flash · budget prompt · first choice
“Calendly’s free plan or Cal.com’s free/low-cost tier, because both cover basic scheduling” Perplexity Sonar · budget prompt · first choice
“Calendly (free) or Cal.com (free tier) | Instant set‑up, embeddable links, zero cost” MiniMax M2.5 · comparative 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.