Discord vs Facebook Groups
Zero of twelve models named Discord first on the direct prompt; zero named Facebook Groups. Discord was named by eleven of the twelve models and Facebook Groups by ten and Discord carries 14 labels and Facebook Groups 11, so the shares are not directly comparable.
Named in two categories this edition.
By Facebook, Colombia, founded 2004. Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 community platforms page.
By framing
DiscordFirst choices, of twelve modelsFacebook Groups
Across every category in the September 2026 Edition, Discord and Facebook Groups were named in the same answer twenty-six times, of the 62 answers naming Discord and the 32 naming Facebook Groups. In those answers Facebook Groups took the first choice zero times and Discord four.
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 |
Discord Facebook Groups first choice named as an alternative argued againstblank: not namedEach cell is one answer, Discord on the left and Facebook Groups on the right.The direct prompt
Neither was named
12 of 12 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
Discord9%#4 of 13Facebook Groups4%#5 of 13Discord11%#5 of 14Facebook Groups2%#7 of 14Discord0%#– of 9Facebook Groups0%#– of 9What the models said about Discord
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Why to avoid for business communities: Not designed for professional use” Mistral Small · negative prompt · hard negative
“useful for real-time chat, but they can be a poor fit” Perplexity Sonar · negative prompt · soft negative
“$0/month: Discord, Facebook Groups, or Slack free tier ... The free tier is very robust with no message limits” Claude Haiku 4.5 · budget prompt · first choice
“Discord: A popular platform for building communities, with features like chat, voice, and video channels.” Llama 4 Maverick · budget prompt · first choice
“If you have ZERO budget: Start with Discord to test your community concept and validate demand.” Mistral Small · budget prompt · first choice
What the models said about Facebook Groups
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“AVOID for Business Communities... never build a business-critical community here.” Kimi K2 · negative prompt · hard negative
“they come with platform lock-in, limited control over the experience, and weak ownership of member data” Perplexity Sonar · negative prompt · soft negative
“Limitations: No data ownership, limited branding, poor monetization, algorithm-dependent” Qwen 3.7 Flash · budget prompt · soft negative
“Start with Facebook Groups or Discord to test community interest and engagement before investing in a paid platform.” GLM 4.7 FlashX · budget prompt · first choice
“free or near-free option like Discord or Facebook Groups ... weaker for branding, customer support workflows” GPT-5.4 mini · budget prompt · alternative
“Completely free and familiar to most users... though moderation can be more challenging.” Claude Haiku 4.5 · budget 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.