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Coaching platforms · September 2026 Edition

Torch vs Risely

One of twelve models named Torch first on the direct prompt; zero named Risely. Torch was named by twelve of the twelve models and Risely by nine and Torch carries 29 labels and Risely 18, so the shares are not directly comparable.

Torch

accepted challenger

Named in three categories this edition.

Risely

accepted challenger

Named in one category this edition.

First-choice share7%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%11%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#6A position in a field of 10; printed, not drawn.
Labels2918A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Torch reading right to left. Rank and label count are printed, not drawn.Growthspace was named alongside these two in eleven of the twelve direct answers. Growthspace vs Torch · Growthspace vs Risely · Boon Health vs Torch

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 coaching platforms page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
TorchFirst choices, of twelve modelsRisely
Direct10
Paraphrase201 against Risely
Comparative00
Budget-constrained02
Scale-constrained101 against Risely
Negative00
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.

Across every category in the September 2026 Edition, Torch and Risely were named in the same answer twenty-two times, of the 68 answers naming Torch and the 60 naming Risely. In those answers Risely took the first choice five times and Torch one.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Torch and Risely 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
Torch Risely first choice named as an alternative argued againstblank: not namedEach cell is one answer, Torch on the left and Risely on the right.

The direct prompt

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

Torch first, Risely not the choice

1 of 12 modelsRisely was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Torch alternatives: Avoma

Neither was the first choice, one was named

11 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniLattice alternatives: BetterUp, CoachHub, Growthspace, Torch
Gemini 3.5 FlashExec, Growthspace alternatives: Boon Health, Torch
Perplexity SonarBoon Health alternatives: BetterUp, CoachHub, Exec, Growthspace, Torch
Grok 4.1 FastExec alternatives: Boon Health, Growthspace, Torch
Mistral SmallExec, Growthspace alternatives: Boon Health, Torch
DeepSeek V4 FlashBoon Health, Growthspace alternatives: CoachHub, Torch
Llama 4 MaverickBoon Health alternatives: Exec, Growthspace, Torch
Qwen 3.7 FlashBoon Health alternatives: Exec, Growthspace, Hone, Torch
Kimi K2Boon Health, Growthspace alternatives: CoachHub, Exec, Torch
GLM 4.7 FlashXBoon Health alternatives: CoachHub, Exec, Growthspace, Risely, Torch
MiniMax M2.5Boon Health, Growthspace alternatives: Exec, Lattice, Torch

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
Risely leads by seventeen points.
Risely17%#2 of 9
Torch0%#– of 9
The full small business standing →
Mid-marketThe figures above
The order flips: Torch leads at mid-market.
Torch7%#4 of 10
Risely4%#6 of 10
The full mid-market standing →
Enterprise
The order flips: Risely leads at enterprise.
Risely14%#3 of 11
Torch0%#7 of 11
The full enterprise standing →

What the models said about Torch

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

“I'd generally recommend Torch if your priority is a true coaching marketplace plus enterprise-ready rollout” GPT-5.4 mini · paraphrase prompt · first choice
“Torch is a leadership coaching and alignment platform built for mid-market and enterprise talent teams” Claude Haiku 4.5 · direct prompt · first choice
“Given you're at 500 people, I'd prioritize Growthspace, Exec.com, Torch, or CoachHub” DeepSeek V4 Flash · scale prompt · first choice

What the models said about Risely

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

“Under ~50 employees: Boon, Risely (lightweight, AI)... one built for startups may not scale to your needs.” DeepSeek V4 Flash · scale prompt · soft negative
“Valence/Risely are AI-only, which may be limiting” DeepSeek V4 Flash · paraphrase prompt · soft negative
“Choose Rocky.ai or Risely if you want to provide on-demand, automated individual coaching to employees at the lowest possible monthly rate.” Gemini 3.5 Flash · budget prompt · first choice
“For the tightest budgets: Start with Risely's free trial or Boon's usage-based model” Kimi K2 · budget prompt · first choice
“Offers public, tiered pricing ($59/user/month for individual...) It provides AI-augmented coaching at an accessible price point” DeepSeek V4 Flash · budget prompt · alternative
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.