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Internal communications and intranet · September 2026 Edition

Microsoft Teams vs ThoughtFarmer

Zero of twelve models named Microsoft Teams first on the direct prompt; two named ThoughtFarmer. Microsoft Teams was named by eleven of the twelve models and ThoughtFarmer by nine and Microsoft Teams carries 13 labels and ThoughtFarmer 11, so the shares are not directly comparable.

Microsoft Teams

accepted challenger

Named in six categories this edition.

ThoughtFarmer

accepted challenger

Named in one category this edition.

First-choice share16%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 15; printed, not drawn.
Labels1311A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Microsoft Teams reading right to left. Rank and label count are printed, not drawn.Simpplr was named alongside these two in ten of the twelve direct answers. Happeo vs Microsoft Teams · Happeo vs ThoughtFarmer · Microsoft Teams vs Simpplr

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 internal communications and intranet page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
Microsoft TeamsFirst choices, of twelve modelsThoughtFarmer
Direct02
Paraphrase80
Comparative00
Budget-constrained00
Scale-constrained00
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Microsoft Teams and ThoughtFarmer stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Microsoft Teams ThoughtFarmer first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Teams on the left and ThoughtFarmer on the right.

The direct prompt

The plain question, one answer per model, grouped by where Microsoft Teams and ThoughtFarmer stood in it.

ThoughtFarmer first, Microsoft Teams not the choice

2 of 12 modelsMicrosoft Teams was named in the answer but not as the choice, or not at all.
Mistral SmallSimpplr, ThoughtFarmer alternatives: Microsoft SharePoint, SAP SuccessFactors
GLM 4.7 FlashXThoughtFarmer alternatives: Connecteam, Jostle, Microsoft SharePoint/Viva, SAP SuccessFactors, Simpplr, Workvivo

Neither was the first choice, one was named

6 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Happeo alternatives: Interact, LumApps, Microsoft SharePoint, ThoughtFarmer
Gemini 3.5 FlashHappeo alternatives: Axero, Haystack, Simpplr, ThoughtFarmer, hubley
Perplexity SonarHappeo alternatives: Microsoft SharePoint, Simpplr, ThoughtFarmer
Llama 4 MaverickHappeo alternatives: SAP SuccessFactors, Simpplr, ThoughtFarmer
Qwen 3.7 FlashHappeo alternatives: Simpplr, ThoughtFarmer
Kimi K2Happeo alternatives: Simpplr, ThoughtFarmer

Neither was named

4 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniSimpplr alternatives: Jostle, Microsoft SharePoint, Microsoft Viva Engage, Staffbase
Grok 4.1 FastSimpplr, Workvivo alternatives: Axero, Blink, Happeo, Jostle, MangoApps
DeepSeek V4 FlashHappeo, Simpplr alternatives: Interact, MangoApps, Microsoft SharePoint + Viva Connections
MiniMax M2.5Microsoft 365 alternatives: Bitrix24, Happeo, Igloo Software, Microsoft Viva

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
Microsoft Teams leads by two points.
Microsoft Teams2%#9 of 14
ThoughtFarmer0%#– of 14
The full small business standing →
Mid-marketThe figures above
Microsoft Teams leads by twelve points.
Microsoft Teams16%#2 of 15
ThoughtFarmer4%#8 of 15
The full mid-market standing →
Enterprise
Microsoft Teams leads by ten points.
Microsoft Teams10%#– of 11
ThoughtFarmer0%#– of 11
The full enterprise standing →

What the models said about Microsoft Teams

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

“If you are currently migrating or building a new infrastructure, go with Microsoft Teams for its stability and built-in video conferencing.” Qwen 3.7 Flash · paraphrase prompt · first choice
“Start with Microsoft Teams if you're already using Microsoft 365 — the integration benefits and cost efficiency are hard to beat” Kimi K2 · paraphrase prompt · first choice
“For most mid-sized B2B companies, Slack or Microsoft Teams are the safest choices” Claude Haiku 4.5 · paraphrase prompt · first choice

What the models said about ThoughtFarmer

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

“Simpplr and ThoughtFarmer are top choices due to their modern features, ease of use, and strong user reviews” Mistral Small · direct prompt · first choice
“making it the top recommendation for your use case” GLM 4.7 FlashX · direct prompt · first choice
“ThoughtFarmer if you want a purpose-built mid-market intranet with transparent per-user pricing” Perplexity Sonar · direct prompt · alternative
Also compared

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.