Discourse vs Discord
Zero of twelve models named Discourse first on the direct prompt; zero named Discord. Discourse was named by twelve of the twelve models and Discord by eleven and Discourse carries 37 labels and Discord 14, so the shares are not directly comparable.
founded 2013. 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 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
DiscourseFirst choices, of twelve modelsDiscord
Across every category in the September 2026 Edition, Discourse and Discord were named in the same answer twenty-eight times, of the 104 answers naming Discourse and the 62 naming Discord. In those answers Discord took the first choice five times and Discourse nine.
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 | | |
Discourse Discord first choice named as an alternative argued againstblank: not namedEach cell is one answer, Discourse on the left and Discord on the right.The direct prompt
Neither was the first choice, one was named
3 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
9 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
Discourse18%#3 of 13Discord9%#4 of 13What the models said about Discourse
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“avoid free/open-source (e.g., Discourse) for compliance/security” Grok 4.1 Fast · direct prompt · hard negative
“Forum-first platforms (Discourse, NodeBB, Flarum, etc.) ... Why be cautious: Complex permission and moderation setups” GLM 4.7 FlashX · negative prompt · soft negative
“requires technical resources to run and integrate... If not, avoid self-hosted Discourse” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Choose Discourse if you want the absolute best customer support hub where community answers help deflect support tickets via Google Search” Gemini 3.5 Flash · budget prompt · first choice
“Choose Discourse if your product is technical and complex, requiring a robust database of past solutions.” Qwen 3.7 Flash · paraphrase prompt · first choice
“the best customer community platform is Discourse (self-hosted open-source version)” Grok 4.1 Fast · budget prompt · first choice
What 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
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.