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Chatbots and conversational AI for support · October 2026 Edition

Freshdesk vs Freshchat

Zero of fourteen models named Freshdesk first on the direct prompt; zero named Freshchat. Freshdesk was named by eleven of the fourteen models and Freshchat by nine and Freshdesk carries 18 labels and Freshchat 13, so the shares are not directly comparable.

Freshdesk

accepted challenger

By Freshworks, San Mateo. Named in ten categories this edition.

Freshchat

accepted challenger

Named in four categories this edition.

First-choice share4%2%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#4#6A position in a field of 9; printed, not drawn.
Labels1813A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Freshdesk reading right to left. Rank and label count are printed, not drawn.Intercom Fin AI Agent was named alongside these two in eleven of the fourteen direct answers. Intercom Fin AI Agent vs Freshdesk · Intercom Fin AI Agent vs Freshchat · Tidio vs Freshdesk

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 Chatbots and conversational AI for support page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
FreshdeskFirst choices, of fourteen modelsFreshchat
Direct00
Paraphrase10
Comparative00
Budget-constrained11
Scale-constrained00
Negative00
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Freshdesk and Freshchat stood in it.
ModelDirectFRParaphraseFRComparativeFRBudget-constrainedFRScale-constrainedFRNegativeFR
Claude Haiku 4.5
GPT-5.4 miniFRFR
Gemini 3.5 Flash
Perplexity SonarFRFR
Grok 4.1 Fast
Mistral SmallFR
DeepSeek V4 Flash
Llama 4 MaverickFR
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashXFR
MiniMax M2.5FRFR
GPT-6 Luna
Muse Glimmer 30BFRFR
FreshdeskFR Freshchat first choice named as an alternative argued againstblank: not namedEach cell is one answer, Freshdesk on the left and Freshchat on the right.

The direct prompt

The plain question, one answer per model, grouped by where Freshdesk and Freshchat stood in it.

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Intercom Fin AI Agent, TeamSupport alternatives: Drift AI, Freshdesk
GPT-5.4 miniIntercom Fin AI Agent alternatives: Ada, Freshchat, Freshdesk, Salesforce Service Cloud, Zendesk AI
Perplexity SonarZendesk with Fin alternatives: Ada, Freshchat, Kayako
Mistral SmallDecagon, Zendesk Copilot alternatives: Drift, Freshchat, Talkdesk
Llama 4 MaverickKayako alternatives: Freshchat, Freshdesk, LiveAgent, Tidio
MiniMax M2.5Intercom Fin AI Agent alternatives: Drift, Freshchat
GPT-6 LunaIntercom Fin AI Agent alternatives: Freshdesk, HubSpot Breeze Customer Agent, Zendesk AI Agents
Muse Glimmer 30BDecagon, Intercom Fin AI Agent alternatives: Freshchat, Freshdesk

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashIntercom Fin AI Agent alternatives: Ada, Enjo, Worknet AI, Zendesk AI
Grok 4.1 FastIntercom Fin AI Agent alternatives: Ada, Drift, Zendesk AI
DeepSeek V4 FlashIntercom Fin AI Agent alternatives: Ada, Freshworks Freddy AI Agent, TeamSupport, Zendesk AI
Qwen 3.7 FlashIntercom Fin AI Agent alternatives: Decagon, HubSpot Chatflows, Zendesk AI
Kimi K2Decagon, Intercom Fin AI Agent alternatives: Copilot, Freshworks Freddy AI Agent, Zendesk AI
GLM 4.7 FlashXIntercom Fin AI Agent alternatives: Decagon, Drift, Zendesk AI Copilot

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
Freshdesk leads by four points.
Freshdesk4%#4 of 11
Freshchat0%#10 of 11
The full small business standing →
Mid-marketThe figures above
Freshdesk leads by two points.
Freshdesk4%#4 of 9
Freshchat2%#6 of 9
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Freshdesk0%#– of 10
Freshchat0%#– of 10
The full enterprise standing →

What the models said about Freshdesk

No label in this category carried a quote.

What the models said about Freshchat

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

“Best overall budget pick for a small support team: Freshdesk/Freshchat” GPT-5.4 mini · budget prompt · first choice
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.