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Sales coaching and training · September 2026 Edition

Gong vs 360Learning

One of twelve models named Gong first on the direct prompt; zero named 360Learning. Gong was named by twelve of the twelve models and 360Learning by ten and Gong carries 41 labels and 360Learning 22, so the shares are not directly comparable.

Gong

criticized challenger

By Gong.io, Ramat Gan, Israel, founded 2015. Named in eight categories this edition.

360Learning

accepted challenger

Paris, France, founded 2010. Named in two categories this edition.

First-choice share10%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate29%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#4A position in a field of 17; printed, not drawn.
Labels4122A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Gong reading right to left. Rank and label count are printed, not drawn.SalesHood was named alongside these two in eleven of the twelve direct answers. SalesHood vs Gong · SalesHood vs 360Learning · Gong vs MindTickle

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 sales coaching and training page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
GongFirst choices, of twelve models360Learning
Direct103 against Gong
Paraphrase00
Comparative70
Budget-constrained044 against Gong
Scale-constrained40
Negative205 against Gong
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 Gong and 360Learning 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
Gong 360Learning first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gong on the left and 360Learning on the right.

The direct prompt

The plain question, one answer per model, grouped by where Gong and 360Learning stood in it.

Gong first, 360Learning not the choice

1 of 12 models360Learning was named in the answer but not as the choice, or not at all.
Qwen 3.7 FlashGong alternatives: Clari Copilot, HubSpot Sales Hub, SalesHood, Spekit

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 4.5Avoma alternatives: Challenger, Chorus by ZoomInfo, Gong, MindTickle
GPT-5.4 miniMindTickle alternatives: Allego, Gong, SalesHood, Second Nature
Perplexity SonarMindTickle alternatives: Gong, Highspot, Jiminny, SalesHood
Grok 4.1 FastSalesHood alternatives: Allego, Gong, MindTickle
Kimi K2SalesHood alternatives: 360Learning, Allego, Chorus by ZoomInfo, Clari Copilot
MiniMax M2.5PitchMonster alternatives: 360Learning, Gong, SalesHood, Salesloft

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashAvoma, SalesHood alternatives: Allego, Chorus by ZoomInfo, Jiminny, PitchMonster, Second Nature
Mistral SmallSalesHood alternatives: Convo, Dock, Spekit
DeepSeek V4 FlashSalesHood alternatives: Avoma, Salesloft
Llama 4 MaverickRichardson Sales Performance, Sandler Training alternatives: Convo, Dock, SalesHood, Spekit
GLM 4.7 FlashXSalesHood alternatives: Allego, Learn:Up

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
360Learning leads by four points.
360Learning4%#7 of 18
Gong0%#18 of 18
The full small business standing →
Mid-marketThe figures above
The order flips: Gong leads at mid-market.
Gong10%#2 of 17
360Learning8%#4 of 17
The full mid-market standing →
Enterprise
Gong leads by nine points.
Gong9%#3 of 12
360Learning0%#– of 12
The full enterprise standing →

What the models said about Gong

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

“enterprise sales training and coaching giants like Gong, Mindtickle, or Seismic ... are out of the question” Gemini 3.5 Flash · budget prompt · hard negative
“Gong — The category leader. Deep conversation analytics, deal intelligence, strong AI. Premium pricing... Best for complex deals: Gong if you have the budget” Kimi K2 · scale prompt · first choice
“Best-in-Class Conversation Intelligence ... A common best-practice stack pairs Gong (conversation intelligence) with a training/readiness platform” DeepSeek V4 Flash · comparative prompt · first choice
“Gong (Best for data-driven conversation coaching) - Strength: Industry leader in conversation intelligence with AI-powered call analysis” MiniMax M2.5 · comparative prompt · first choice

What the models said about 360Learning

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

“For a limited budget, 360Learning at $8/user/month is the best overall value” DeepSeek V4 Flash · budget prompt · first choice
“1. 360Learning ($8/user/month) for training + existing call recording tool” Llama 4 Maverick · budget prompt · first choice
“360Learning at $8/user/month is recommended for training” Claude Haiku 4.5 · 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.