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Sales coaching and training · November 2026 Edition

Spekit vs Avoma

Zero of fourteen models named Spekit first on the direct prompt; one named Avoma. Spekit was named by twelve of the fourteen models and Avoma by eight and Spekit carries 16 labels and Avoma 10, so the shares are not directly comparable.

Spekit

accepted challenger

Named in five categories this edition.

Avoma

accepted challenger

Named in four categories this edition.

First-choice share4%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#6#8A position in a field of 15; printed, not drawn.
Labels1610A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Spekit reading right to left. Rank and label count are printed, not drawn.MindTickle was named alongside these two in twelve of the fourteen direct answers. MindTickle vs Spekit · MindTickle vs Avoma · SalesHood vs Spekit

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 sales coaching and training page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
SpekitFirst choices, of fourteen modelsAvoma
Direct01
Paraphrase20
Comparative00
Budget-constrained01
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 Spekit and Avoma stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Spekit Avoma first choice named as an alternative argued againstblank: not namedEach cell is one answer, Spekit on the left and Avoma on the right.

The direct prompt

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

Avoma first, Spekit an alternative

1 of 14 modelsSpekit was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Avoma alternatives: Jiminny, MindTickle, SalesHood, Second Nature, Spekit

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.
Perplexity SonarSalesHood alternatives: Gong, MindTickle, Spekit
MiniMax M2.5MindTickle alternatives: Avoma, SalesHood

Neither was named

11 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniMindTickle alternatives: Allego, SalesHood
Gemini 3.5 FlashMindTickle alternatives: Gong, SalesHood, Second Nature, Seismic Learning
Grok 4.20Gong alternatives: MindTickle, Seismic Enablement Cloud
Mistral SmallGong, MindTickle alternatives: Ambition, Hyperbound Practice, JB Sales / Sell Better
DeepSeek V4 FlashMindTickle alternatives: Ambition, Gong, Hyperbound, Showpad Coach
Llama 4 Maverickno first choice
Qwen 3.7 FlashHighspot alternatives: Axello, Gong, Lessonly
Kimi K2Gong, MindTickle alternatives: Allego, Revenue.io, Showpad Coach
GLM 4.7 FlashXMindTickle alternatives: Hyperbound, Salesloft Conversations
GPT-6 LunaMindTickle alternatives: Gong, Highspot
Muse Glimmer 30BMindTickle alternatives: Allego, Hyperbound, SalesHood

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
Avoma leads by ten points.
Avoma10%#2 of 16
Spekit0%#– of 16
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Spekit4%#6 of 15
Avoma4%#8 of 15
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Spekit0%#– of 10
Avoma0%#– of 10
The full enterprise standing →

What the models said about Spekit

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

“If your primary goal is faster ramp-up time for new hires: Choose Spekit.” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about Avoma

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

“Designed for mid-market teams that want accessible conversation intelligence, coaching workflows, and performance visibility without the complexity often associated with enterprise revenue platforms.” Claude Haiku 4.5 · direct 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.