Coaching platforms · October 2026 Edition
Torch vs Lattice
Four of fourteen models named Torch first on the direct prompt; five named Lattice. Torch was named by thirteen of the fourteen models and Lattice by ten and Torch carries 20 labels and Lattice 11, so the shares are not directly comparable.
Named in two categories this edition.
Named in nineteen categories this edition.
First-choice share11%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 13; printed, not drawn.
Labels2011A 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 ten of the fourteen direct answers. Growthspace vs Torch · Growthspace vs Lattice · 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.
TorchFirst choices, of fourteen modelsLattice
Direct45
Paraphrase20
Comparative00
Budget-constrained002 against Torch · 1 against Lattice
Scale-constrained00
Negative001 against Torch
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 Torch and Lattice 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 | | | |
Torch Lattice first choice named as an alternative argued againstblank: not namedEach cell is one answer, Torch on the left and Lattice on the right.The direct prompt
The plain question, one answer per model, grouped by where Torch and Lattice stood in it.
Torch first, Lattice an alternative
4 of 14 modelsLattice was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Boon Health, Torch alternatives: Avoma, Coachello, Gong, Growthspace, Risely, Sounding Board
Perplexity SonarTorch alternatives: Betterworks, Cloverleaf, Lattice
Llama 4 MaverickTorch alternatives: Growthspace, Lattice, Motivosity
Muse Glimmer 30BTorch alternatives: Boon Health, Exec, Growthspace
Lattice first, Torch an alternative
5 of 14 modelsTorch was named in the answer but not as the choice, or not at all.GPT-5.4 miniLattice alternatives: CoachHub, Culture Amp, Torch, Valence
Grok 4.1 FastLattice alternatives: 15Five, Betterworks, CoachHub, Jiminny, Leapsome, Showpad Coach
DeepSeek V4 FlashGrowthspace, Lattice alternatives: Betterworks
Qwen 3.7 FlashLattice alternatives: Growthspace, Motivosity
Kimi K215Five, Lattice alternatives: Betterworks, CoachHub, Growthspace
Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-6 Luna15Five alternatives: BetterUp, Gong, Mindtickle, Torch
Neither was named
4 of 14 modelsThe answer made no first choice from these two in this category.Gemini 3.5 FlashGrowthspace, Jiminny alternatives: Avoma, Boon Health, Cloverleaf
Mistral SmallGrowthspace alternatives: Coachello, 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
Mid-marketThe figures above
The order flips: Torch leads at mid-market.
Torch11%#3 of 13Lattice9%#5 of 13Enterprise
Level: the same share of first choices.
Torch0%#9 of 12Lattice0%#– of 12What the models said about Torch
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Enterprise platforms to avoid (for tight budgets): BetterUp, CoachHub, Torch, and EZRA” MiniMax M2.5 · budget prompt · hard negative
“Many of these platforms have incredibly strict non-compete clauses.” Gemini 3.5 Flash · negative prompt · soft negative
“are quote-based and priced for mid-market / enterprise populations” Muse Glimmer 30B · budget prompt · soft negative
“"Torch — Best for Leadership Development in Mid-Market Companies"... Choose Torch if you want a leadership / manager-to-executive pipeline with curated coaches” Muse Glimmer 30B · direct prompt · first choice
“The best employee coaching platforms for a mid-market B2B company include Torch, Growthspace, Lattice, and Motivosity.” Llama 4 Maverick · direct 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
What the models said about Lattice
No label in this category carried a quote.
Also compared
Growthspace vs TorchGrowthspace vs LatticeExec vs TorchExec vs LatticeTorch vs 15FiveTorch vs Boon HealthTorch vs Simply.CoachTorch vs CoachHub15Five vs LatticeLattice vs Boon HealthLattice vs Simply.CoachLattice vs CoachHubAll 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.