Four of fourteen models named Millie first on the direct prompt; zero named Groundswell. Millie was named by thirteen of the fourteen models and Groundswell by twelve and Millie carries 44 labels and Groundswell 26, so the shares are not directly comparable.
Named in one category 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 employee giving and volunteering page.
Across every category in the November 2026 Edition, Millie and Groundswell were named in the same answer fifty-four times, of the 108 answers naming Millie and the 88 naming Groundswell. In those answers Groundswell took the first choice two times and Millie thirteen.
| Model | DirectMI | ParaphraseMI | ComparativeMI | Budget-constrainedMI | Scale-constrainedMI | NegativeMI |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | MI | MI | MI | MI | ||
| GPT-5.4 mini | MI | MI | ||||
| Gemini 3.5 Flash | MI | MI | MI | |||
| Perplexity Sonar | MI | MI | MI | MI | ||
| Grok 4.20 | MI | MI | MI | |||
| Mistral Small | MI | MI | MI | MI | ||
| DeepSeek V4 Flash | MI | MI | MI | |||
| Llama 4 Maverick | ||||||
| Qwen 3.7 Flash | MI | MI | ||||
| Kimi K2 | MI | MI | MI | |||
| GLM 4.7 FlashX | MI | MI | ||||
| MiniMax M2.5 | MI | MI | ||||
| GPT-6 Luna | MI | MI | MI | MI | MI | |
| Muse Glimmer 30B | MI | MI |
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. Five of six in this category shown.
“These may be unsuitable where native nonprofit-CRM integration or federated/community-campaign support is essential” Perplexity Sonar · negative prompt · soft negative
“Groundswell and Millie — ask what screening they use now.” GPT-6 Luna · negative prompt · soft negative
“Millie supports donation matching programs at any budget level with customizable match ratios and caps” Claude Haiku 4.5 · budget prompt · first choice
“Uncommon Giving and Millie are the top recommendations for companies with limited budgets” Mistral Small · budget prompt · first choice
“the strongest default recommendation is Millie (formerly Groundswell)” Perplexity Sonar · paraphrase prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“These may be unsuitable where native nonprofit-CRM integration or federated/community-campaign support is essential” Perplexity Sonar · negative prompt · soft negative
“starts at $12,500/year, so it's less likely to fit a tight budget” GPT-6 Luna · budget prompt · soft negative
“Groundswell and Millie — ask what screening they use now.” GPT-6 Luna · negative prompt · soft negative
“Smart, lightweight platforms (Uncommon Giving, Groundswell, momoGood) may outperform the more heavyweight enterprise options” DeepSeek V4 Flash · scale prompt · first choice
“lean toward modern, high-agility CSR tools (such as *Deed*, *Groundswell*, *Percent Pledge*, or *Uncommon Giving*)” Gemini 3.5 Flash · negative prompt · first choice
“Platforms like YourCause and Groundswell specifically target 500-1,000 employee companies” Kimi K2 · scale 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.