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Community platforms · October 2026 Edition

Discourse vs Gainsight Customer Communities

Zero of fourteen models named Discourse first on the direct prompt; zero named Gainsight Customer Communities. Discourse was named by thirteen of the fourteen models and Gainsight Customer Communities by thirteen and Discourse carries 49 labels and Gainsight Customer Communities 36, so the shares are not directly comparable.

Discourse

accepted challenger

founded 2013. Named in two categories this edition.

Gainsight Customer Communities

accepted challenger

Named in one category this edition.

First-choice share18%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.

Negative rate6%8%Negative labels as a share of the product's labels, 0 to 100.

Rank in category#2#5A position in a field of 11; printed, not drawn.

Labels4936A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, Discourse reading right to left. Rank and label count are printed, not drawn.Bettermode was named alongside these two in twelve of the fourteen direct answers. Bettermode vs Discourse · Bettermode vs Gainsight Customer Communities · Discourse vs Higher Logic Vanilla

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 community platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.

DiscourseFirst choices, of fourteen modelsGainsight Customer Communities

Direct001 against Discourse · 1 against Gainsight Customer Communities

Paraphrase011 against Gainsight Customer Communities

Comparative00

Budget-constrained1001 against Gainsight Customer Communities

Scale-constrained112 against Discourse

Negative30

Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, Discourse and Gainsight Customer Communities were named in the same answer fifty-eight times, of the 131 answers naming Discourse and the 101 naming Gainsight Customer Communities. In those answers Gainsight Customer Communities took the first choice four times and Discourse eight.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Discourse and Gainsight Customer Communities stood in it.

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

Discourse

Gainsight Customer Communities

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Discourse on the left and Gainsight Customer Communities on the right.

The direct prompt

The plain question, one answer per model, grouped by where Discourse and Gainsight Customer Communities stood in it.

Neither was the first choice, one was named

11 of 14 modelsThe answer put something else first and named one of the two as an alternative.

Claude Haiku 4.5Bettermode alternatives: Gainsight Customer Communities, Higher Logic Vanilla, Influitive, Zendesk Community

Gemini 3.5 FlashBettermode alternatives: Circle, Discourse, Gainsight Customer Communities, Higher Logic Vanilla

Perplexity SonarBettermode alternatives: Circle, Discourse, Gainsight Customer Communities

Grok 4.20Higher Logic Vanilla alternatives: Bettermode, Circle, Discourse, Gainsight Customer Communities

Mistral SmallCircle alternatives: Bettermode, Discourse

Qwen 3.7 FlashCircle alternatives: Discourse, HubSpot Community

Kimi K2Bettermode, Circle alternatives: Discourse, Gainsight Customer Communities, Higher Logic Vanilla

GLM 4.7 FlashXBettermode, Circle alternatives: Gainsight Customer Communities

MiniMax M2.5Bettermode, Higher Logic Vanilla alternatives: Circle, Discourse

GPT-6 LunaHigher Logic Vanilla alternatives: Bettermode, Discourse

Muse Glimmer 30BBettermode, Higher Logic Vanilla alternatives: Circle, Discourse

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.

GPT-5.4 miniHigher Logic Vanilla alternatives: Khoros Communities

DeepSeek V4 FlashBettermode alternatives: Circle, Higher Logic Vanilla

Llama 4 MaverickBettermode

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

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.

Small business

Discourse leads by sixteen points.

Discourse#3 of 14

Gainsight Customer Communities#13 of 14

The full small business standing →

Mid-marketThe figures above

Discourse leads by fifteen points.

Discourse#2 of 11

Gainsight Customer Communities#5 of 11

The full mid-market standing →

Enterprise

The order flips: Gainsight Customer Communities leads at enterprise.

Gainsight Customer Communities#2 of 10

Discourse#5 of 10

The full enterprise standing →

What the models said about Discourse

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Highly extensible, lower cost ... but requires more technical resources” DeepSeek V4 Flash · scale prompt · soft negative

“Discourse (open source, requires technical maintenance)” Qwen 3.7 Flash · scale prompt · soft negative

“Self-hosted option is free but requires DevOps expertise” DeepSeek V4 Flash · direct prompt · soft negative

“Discourse (especially if self-hosted) and Bettermode (depending on the plan) are highly recommended for budget-conscious organizations” Mistral Small · budget prompt · first choice

“the best choice is usually Discourse... If your budget is very tight, the best value answer is Discourse” Perplexity Sonar · budget prompt · first choice

“If you need a truly free, owned community today, self-hosted Discourse is the most mature open-source option.” Muse Glimmer 30B · budget prompt · first choice

What the models said about Gainsight Customer Communities

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“Expensive and complex implementation; typically requires a dedicated admin and significant budget (often 6 figures annually)” GLM 4.7 FlashX · paraphrase prompt · soft negative

“Quote-only pricing; typically $50K+/year; built for upper mid-market to enterprise” DeepSeek V4 Flash · direct prompt · soft negative

“it uses custom pricing, which may be less predictable for tight budgets” Perplexity Sonar · budget prompt · soft negative

“The gold standard for B2B SaaS. It is heavily tailored toward support deflection, product ideation, and customer onboarding” Gemini 3.5 Flash · scale prompt · first choice

“Gainsight CC is purpose-built for B2B SaaS... If it is Product Feedback & CS Scale-up: Go with Gainsight CC.” Gemini 3.5 Flash · paraphrase prompt · first choice

“Gainsight Customer Communities is often the better fit because it connects community activity to health scores” Perplexity Sonar · direct prompt · alternative

Also compared

Bettermode vs Discourse Bettermode vs Gainsight Customer Communities Discourse vs Higher Logic Vanilla Discourse vs Circle Discourse vs Mighty Networks Discourse vs Discord Discourse vs Higher Logic Higher Logic Vanilla vs Gainsight Customer Communities Circle vs Gainsight Customer Communities Gainsight Customer Communities vs Mighty Networks Gainsight Customer Communities vs Discord Gainsight Customer Communities vs Higher Logic All twenty-eight head-to-head pages and the full community standing

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.