Intercom Fin vs Freshdesk
One of fourteen models named Intercom Fin first on the direct prompt; zero named Freshdesk. Intercom Fin was named by eleven of the fourteen models and Freshdesk by nine and Intercom Fin carries 21 labels and Freshdesk 11, so the shares are not directly comparable.
Named in two categories this edition.
Named in four categories this edition.
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 AI IT support agents page.
By framing
Intercom FinFirst choices, of fourteen modelsFreshdesk
Across every category in the October 2026 Edition, Intercom Fin and Freshdesk were named in the same answer sixteen times, of the 52 answers naming Intercom Fin and the 62 naming Freshdesk. In those answers Freshdesk took the first choice nine times and Intercom Fin six.
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 | | |||||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | |
Intercom Fin Freshdesk first choice named as an alternative argued againstblank: not namedEach cell is one answer, Intercom Fin on the left and Freshdesk on the right.The direct prompt
Intercom Fin first, Freshdesk not the choice
1 of 14 modelsFreshdesk was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
11 of 14 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
Freshdesk18%#1 of 9Intercom Fin8%#2 of 9Intercom Fin6%#3 of 8Freshdesk6%#4 of 8Intercom Fin2%#– of 6Freshdesk0%#– of 6What the models said about Intercom Fin
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“may lack the deep "action-oriented" integrations (like modifying Active Directory) that true IT support agents require” Qwen 3.7 Flash · comparative prompt · soft negative
“⚠️ Heavy ecosystem lock-in — limited flexibility for external CRMs ... Pricing scales steeply with conversation volume” Kimi K2 · negative prompt · soft negative
“failures plague many (e.g., Zendesk AI, Intercom Fin, early Moveworks/Aisera setups per reviews)” Grok 4.1 Fast · negative prompt · soft negative
“If I had to pick one budget-first option for IT support, I'd choose Intercom Fin” Perplexity Sonar · budget prompt · first choice
“Top Choice: Intercom (Fin AI Agent) ... gold standard for B2B "conversational" AI” Qwen 3.7 Flash · direct prompt · first choice
“Top Recommendation: Intercom Fin” MiniMax M2.5 · paraphrase prompt · first choice
What the models said about Freshdesk
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“or Freshdesk if budget and simplicity matter most” Perplexity Sonar · paraphrase prompt · first choice
“It's recognized as the best value option” Claude Haiku 4.5 · paraphrase prompt · first choice
“Top Pick: Freshdesk (with Freddy AI)” DeepSeek V4 Flash · 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.