Index › Learning and development › Coaching platforms › Exec vs 15Five

Coaching platforms · October 2026 Edition

Exec vs 15Five

Zero of fourteen models named Exec first on the direct prompt; two named 15Five. Exec was named by eight of the fourteen models and 15Five by nine and Exec carries 15 labels and 15Five 11, so the shares are not directly comparable.

Exec

accepted challenger

Named in one category this edition.

15Five

accepted challenger

Named in ten categories this edition.

First-choice share16%9%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#4A position in a field of 13; printed, not drawn.

Labels1511A count; the two differ.

The two percentage rows are drawn on one 0 to 100 track, Exec reading right to left. Rank and label count are printed, not drawn.Growthspace was named alongside these two in ten of the fourteen direct answers. Growthspace vs Exec · Growthspace vs 15Five · Exec vs Torch

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 coaching platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.

ExecFirst choices, of fourteen models15Five

Direct02

Paraphrase50

Comparative00

Budget-constrained43

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 Exec and 15Five stood in it.

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

Exec

15Five

first choice

named as an alternative

argued againstblank: not namedEach cell is one answer, Exec on the left and 15Five on the right.

The direct prompt

The plain question, one answer per model, grouped by where Exec and 15Five stood in it.

15Five first, Exec not the choice

2 of 14 modelsExec was named in the answer but not as the choice, or not at all.

Kimi K215Five, Lattice alternatives: Betterworks, CoachHub, Growthspace

GPT-6 Luna15Five alternatives: BetterUp, Gong, Mindtickle, Torch

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.

Grok 4.1 FastLattice alternatives: 15Five, Betterworks, CoachHub, Jiminny, Leapsome, Showpad Coach

Muse Glimmer 30BTorch alternatives: Boon Health, Exec, Growthspace

Neither was named

10 of 14 modelsThe answer made no first choice from these two in this category.

Claude Haiku 4.5Boon Health, Torch alternatives: Avoma, Coachello, Gong, Growthspace, Risely, Sounding Board

GPT-5.4 miniLattice alternatives: CoachHub, Culture Amp, Torch, Valence

Gemini 3.5 FlashGrowthspace, Jiminny alternatives: Avoma, Boon Health, Cloverleaf

Perplexity SonarTorch alternatives: Betterworks, Cloverleaf, Lattice

Mistral SmallGrowthspace alternatives: Coachello, Motivosity

DeepSeek V4 FlashGrowthspace, Lattice alternatives: Betterworks

Llama 4 MaverickTorch alternatives: Growthspace, Lattice, Motivosity

Qwen 3.7 FlashLattice alternatives: Growthspace, Motivosity

GLM 4.7 FlashXBetterUp alternatives: CoachHub, Growthspace

MiniMax M2.5no first choice alternatives: BetterUp, CoachHub, Growthspace

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

15Five leads by nine points.

15Five#1 of 10

Exec#– of 10

The full small business standing →

Mid-marketThe figures above

The order flips: Exec leads at mid-market.

Exec#2 of 13

15Five#4 of 13

The full mid-market standing →

Enterprise

Exec leads by six points.

Exec#5 of 12

15Five#– of 12

The full enterprise standing →

What the models said about Exec

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

“Together (starting at $6/user/month) and Exec (starting at $20/user/month) are the most budget-friendly options with strong coaching capabilities” Mistral Small · budget prompt · first choice

“I'd recommend starting with Exec if you want to see immediate results with predictable costs, or Growthspace” GLM 4.7 FlashX · paraphrase prompt · first choice

“two primary platforms depending on your specific organizational goals: Growthspace and Exec.com” Qwen 3.7 Flash · paraphrase prompt · first choice

What the models said about 15Five

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

“Winner: 15Five 15Five is widely considered the gold standard for affordable, user-friendly continuous coaching.” Qwen 3.7 Flash · budget prompt · first choice

“I'd recommend starting with 15Five given its extremely low starting price of $4/user/month” Claude Haiku 4.5 · budget prompt · first choice

Also compared

Growthspace vs Exec Growthspace vs 15Five Exec vs Torch Exec vs Lattice Exec vs Boon Health Exec vs Simply.Coach Exec vs CoachHub Torch vs 15Five 15Five vs Lattice 15Five vs Boon Health 15Five vs Simply.Coach 15Five vs CoachHub All twenty-eight head-to-head pages and the full coaching platforms standing

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.