Coaching platforms for enterprise buyers
Asked as “employee coaching platform”, and as “digital coaching marketplace”, on behalf of an enterprise B2B company. 52 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
46%
Clear leader
46BetterUp17CoachHub10EasyCoach27others
46% of first choices, clear leader.
Since September 2026▼−2Since September 2026: 49% → 47%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.BetterUp held the lead, −2 points on 49%, inside the 13-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
15Five11%Contested↗new leaderNew leader since September 2026: 15Five (8%) replaces Boon Health (28% then, 4% now), 4 points clear, inside the 13-point floor.Standing →Mid-market
Growthspace20%Contested▼−3Since September 2026: 26% → 23%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
BetterUp46%Clear leader▼−2Since September 2026: 49% → 47%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This page
15Five11%Contested↗new leaderNew leader since September 2026: 15Five (8%) replaces Boon Health (28% then, 4% now), 4 points clear, inside the 13-point floor.Standing →Mid-marketGrowthspace20%Contested▼−3Since September 2026: 26% → 23%, −3 points. Inside the 13-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseBetterUp46%Clear leader▼−2Since September 2026: 49% → 47%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01BetterUp46%20%66endorsed leader▼−2Since September 2026: 49% → 47%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.49% → 47%
BetterUp46%20%66endorsed leader▼−2Since September 2026: 49% → 47%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.49% → 47%02
CoachHub17%16%67accepted challenger▼−8Since September 2026: 26% → 18%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.26% → 18%
CoachHub17%16%67accepted challenger▼−8Since September 2026: 26% → 18%, −8 points. Inside the 13-point floor: within noise. Read over the models both editions asked.26% → 18%04
Risely10%8%12accepted challenger▼−5Since September 2026: 14% → 9%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 9%
Risely10%8%12accepted challenger▼−5Since September 2026: 14% → 9%, −5 points. Inside the 13-point floor: within noise. Read over the models both editions asked.14% → 9%05
Exec6%0%23accepted challenger▲+2Since September 2026: 5% → 7%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 7%
Exec6%0%23accepted challenger▲+2Since September 2026: 5% → 7%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 7%06
EZRA2%5%43accepted challenger▼−2Since September 2026: 5% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 2%
EZRA2%5%43accepted challenger▼−2Since September 2026: 5% → 2%, −2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.5% → 2%07Growthspace2%0%20accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Growthspace2%0%20accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%08
Coachello2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%
Coachello2%0%14accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 2%Show the four products at 0%, ordered by negative rate
09
Torch0%19%31accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Torch0%19%31accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%10
Boon Health0%9%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
Boon Health0%9%22accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%12Valence0%8%12accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
11Sounding Board0%6%16accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 13-point floor: within noise. Read over the models both editions asked.0% → 0%
The floor is 13 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
All twenty-eight head-to-head pages: the top eight products, each against each
Growthspace vs LatticeGrowthspace vs Boon HealthGrowthspace vs Simply.CoachGrowthspace vs CoachHubExec vs TorchExec vs 15FiveExec vs LatticeExec vs Boon HealthExec vs Simply.CoachExec vs CoachHubTorch vs 15FiveTorch vs LatticeTorch vs Boon HealthTorch vs Simply.CoachTorch vs CoachHub15Five vs Lattice15Five vs Boon Health15Five vs Simply.Coach15Five vs CoachHubLattice vs Boon HealthLattice vs Simply.CoachLattice vs CoachHubBoon Health vs Simply.CoachBoon Health vs CoachHubSimply.Coach vs CoachHub
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102E03
04050607080910S11
V12
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01BetterUp46%
BetterUp46%02CoachHub17%
CoachHub17%03EasyCoach10%
04Risely10%
Risely10%05Exec6%
Exec6%06EZRA2%
EZRA2%07Growthspace2%
Growthspace2%08Coachello2%
Coachello2%09Torch0%
Torch0%10Boon Health0%
Boon Health0%11Sounding Board0%
12Valence0%
What they warned about
Six of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Llama 4 Maverick, Qwen 3.7 Flash, GLM 4.7 FlashX, MiniMax M2.5 and GPT-6 Luna changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
BetterUp20%
13 of 66 labels negative · 9 of 14 models · 1 hard negative
“What to Avoid: Standard Per-Seat Platforms ... BetterUp: ~$3,000–$5,000/user/year” Kimi K2, budget prompt
CoachHub16%
11 of 67 labels negative · 7 of 14 models · 1 hard negative
“What to Avoid ... CoachHub: Custom per-user enterprise contracts.” Kimi K2, budget prompt
Profi100%
5 of 5 labels negative · 5 of 14 models · 5 hard negative
“The clearest **avoid** signal in the results is **Profi**, because one enterprise review notes that it **shut down on December 31, 2025**” Perplexity Sonar, negative prompt
Torch19%
6 of 31 labels negative · 4 of 14 models · 1 hard negative
“What to Avoid ... Torch, Sounding Board, Hone: All typically quote per-seat or usage-based.” Kimi K2, budget prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
80 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 959 links across 211 sites, every framing counted. Ranked by the number of answers carrying the site or page. 81 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
55 answers · 74 citations · 12 models
vendor site · Easygenerator48 answers · 55 citations · 12 models
vendor site · Exec46 answers · 52 citations · 12 models
vendor site · Coachello43 answers · 55 citations · 12 models
vendor site · Torch27 answers · 30 citations · 12 models
vendor site · Risely26 answers · 39 citations · 9 models
26 answers · 29 citations · 10 models
25 answers · 25 citations · 11 models
24 answers · 30 citations · 10 models
vendor site · Zendikt23 answers · 32 citations · 10 models
vendor site · Thinkific22 answers · 23 citations · 10 models
19 answers · 19 citations · 9 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
54 answers · 12 models
48 answers · 12 models
43 answers · 11 models
35 answers · 11 models
25 answers · 11 models
22 answers · 10 models
22 answers · 10 models
21 answers · 8 models
21 answers · 10 models
20 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best employee coaching platform”, “coaching platforms”, “employee coaching platform”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| BetterUp betterup.com | 46% | 148 | 9,900 | 354 | 1,159,872 | 0 | 5 | |
| CoachHub coachhub.com | 17% | 148 | 1,900 | 18 | 35,044 | 7 | 1 | |
| EasyCoach | 10% | 210 | 0 | |||||
| Risely risely.me | 10% | 25 | 210 | 227,910 | 6,577 | |||
| Exec exec.com | 6% | 44 | 60,500 | 1,840 | 25,811 | 0 | ||
| EZRA helloezra.com EZRA 2%, EZRA by LHH, Adecco Group 2% | 4% | 69 | 40,500 | 21,455 | 6,066 | 10 | ||
| Growthspace growthspace.com | 2% | 53 | 390 | 11 | 44,789 | 0 | ||
| Coachello coachello.ai | 2% | 22 | 450,000 | 0 | 1,849 | 1 | ||
| Gong gong.io | 2% | 15 | 74,000 | 13,361 | 52,787 | $1,556 | 120 | |
| Bravely bravely.io | 2% | 10 | 3,600 | 69,391 | 1,141 |
Google's top ten for the three searches hold 20 sites; 4 of them are among the sites the models cited here (boon-health.com, coachello.ai, simply.coach, togetherplatform.com). The first result for “best employee coaching platform” is mentorcliq.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best employee coaching platform for an enterprise B2B company?”Paraphrase“Which digital coaching marketplace would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade coaching platforms and how do they differ?”Budget-constrained“What is the best employee coaching platform for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating an employee coaching platform. What should we look at?”Negative“Which coaching platforms should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5no first choiceBetterUp, CoachHubChangedBetterUpRiselyno first choicenothing named
Two alternatives
Coachello, MindtickleOne alternative
Boon HealthSix alternatives
CoachHub, Coachello, EZRA, Exec, Sounding Board, TorchTwo alternatives
Boon Health, ValenceGPT-5.4 miniCoachHubBetterUpChangedBetterUpCoachHubno first choicenothing named
Six alternatives
15Five, CoachHub AIMY, Cornerstone, Docebo, Gong, ValenceOne alternative
CoachHubFour alternatives
CoachHub, EZRA, Torch, ValenceOne alternative
BetterUpGemini 3.5 FlashBetterUp, GongBetterUpChangedno first choiceBravelyBetterUpnothing named
Four alternatives
CoachHub, Growthspace, Mindtickle, Revenue.ioThree alternatives
CoachHub, EZRA, GrowthspaceThree alternatives
EZRA, EasyCoach, LeggUPThree alternatives
CoachHub, EZRA, GrowthspacePerplexity SonarBetterUp, CoachHubBetterUp, CoachHubHeldBetterUp, CoachHubExecno first choiceagainst: Profi
Two alternatives
Boon Health, EZRAOne alternative
TogetherFour alternatives
Boon Health, Coachello, EZRA, ExecThree alternatives
BetterUp, CoachHub, TalentLMS AI CoachGrok 4.1 FastBetterUpBetterUpHeldBetterUp, CoachHubagainst: CoachAccountableRiselyagainst: BetterUp, CoachHubBetterUp, CoachHubagainst: BetterUp, CoachHub, Profi
Four alternatives
Allego, CoachHub, EZRA, GongThree alternatives
CoachHub, EZRA, TorchFour alternatives
Coachello, EZRA, Sounding Board, TorchTwo alternatives
Boon Health, EasyCoachThree alternatives
Boon Health, EZRA, QooperMistral SmallBetterUp, CoachHubBetterUp, CoachHubHeldBetterUpEasyCoachno first choiceagainst: BetterUp, Coach.me, CoachHub, Coaches Console, Profi
Two alternatives
Boon Health, TorchFive alternatives
CoachHub, Coachello, Growthspace, Simply.Coach, TogetherDeepSeek V4 FlashBetterUpBetterUpHeldagainst: TorchBetterUp, CoachHubEZRA, Riselyagainst: BetterUp, CoachHubno first choiceagainst: BetterUp, CoachHub
Five alternatives
CoachHub, Coachello, EZRA, Exec, TogetherOne alternative
CoachHubEight alternatives
Coachello, EZRA, EasyCoach, Exec, Growthspace, Modern Health, Torch, ValenceOne alternative
EasyCoachLlama 4 MaverickGrowthspaceBetterUpChangedno first choiceno first choiceCoachelloagainst: BetterUp, Exec Learn, Profi, Torch.io
Two alternatives
Exec Learn, Gemini 3.5 FlashFour alternatives
BetterUp, CoachHub, EZRA, Sounding BoardQwen 3.7 FlashBetterUp, ExecBetterUpChangedBetterUpRiselyagainst: BetterUp, Boon Health, Torchno first choicenothing named
Three alternatives
CoachHub, EZRA, GrowthspaceTwo alternatives
Boon Health, CoachHubFive alternatives
CoachHub, EZRA, Exec, Growthspace, TorchOne alternative
CoachHubKimi K2BetterUpBetterUpHeldBetterUpEasyCoachagainst: BetterUp, CoachHub, Hone, Sounding Board, Torchno first choiceagainst: BetterUp, Bravely, CoachHub, Coaching.com, EZRA, Modern Health, Torch
Three alternatives
Boon Health, CoachHub, ExecOne alternative
CoachHubSix alternatives
CoachHub, EZRA, Exec, Sounding Board, Torch, ValenceThree alternatives
EZRA, Risely, Rocky.aiGLM 4.7 FlashXExecBetterUpChangedBetterUpEasyCoachagainst: BetterUp, Boon Health, CoachHubno first choicenothing named
Two alternatives
BetterUp, CoachHubOne alternative
CoachHubTen alternatives
ClientFol.io, CoachHub, EZRA, Exec, Growthspace, Quenza, Risely, Simply.Coach, Torch, ValenceTwo alternatives
EZRA, ExecMiniMax M2.5no first choiceBetterUpChangedno first choiceEasyCoachno first choiceagainst: BetterUp, CoachHub, Profi
Three alternatives
CoachHub, Growthspace, TorchTwo alternatives
BetterUp, CoachHubGPT-6 LunaBetterUpCoachHubChangedno first choiceRiselyno first choiceagainst: BetterUp for Individuals, UStrive
Three alternatives
CoachHub, Gong, TorchOne alternative
BetterUpSeven alternatives
BetterUp, CoachHub, EZRA, Growthspace, Sounding Board, Torch, ValenceTwo alternatives
BetterUp, CoachHubMuse Glimmer 30BBetterUpBetterUpHeldBetterUpEZRA by LHH, Adecco Group, EasyCoachagainst: BetterUp, CoachHub, Torchno first choiceagainst: BetterUp, ChatGPT, CoachHub, EZRA, Gemini, Risely, Torch, Valence
Three alternatives
CoachHub, Mindtickle, TorchOne alternative
CoachHubFour alternatives
CoachHub, EZRA, Growthspace, TorchBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:11 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:23 | yes | 5 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:26 | yes | 14 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 12:03 | yes | 19 | 4 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:28 | yes | 21 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:26 | yes | 10 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:14 | yes | 18 | 25 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:13 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:01 | yes | 9 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:11 | yes | 13 | 15 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:54 | yes | 10 | 51 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:39 | yes | 5 | 12 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:21 | yes | 4 | 12 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:54 | yes | 15 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:52 | yes | 18 | 9 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:58 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:17 | yes | 6 | 20 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 07:45 | yes | 19 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:58 | yes | 20 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:38 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:34 | yes | 20 | 20 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:30 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:45 | yes | 5 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:19 | yes | 16 | 22 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:56 | yes | 10 | 21 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:51 | yes | 10 | 16 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:44 | yes | 2 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:46 | yes | 12 | 16 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:28 | yes | 16 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:14 | yes | 3 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:51 | yes | 21 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:39 | yes | 28 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:19 | yes | 18 | 7 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:56 | yes | 7 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:08 | yes | 15 | 22 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:23 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:04 | yes | 12 | 52 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:50 | yes | 13 | 24 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:22 | yes | 16 | 35 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:54 | yes | 9 | 16 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:11 | yes | 7 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:11 | yes | 12 | 25 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:21 | yes | 15 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:52 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:10 | yes | 12 | 28 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:39 | yes | 21 | 7 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:27 | yes | 15 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:03 | yes | 5 | 3 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:56 | yes | 21 | 30 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:39 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:00 | yes | 5 | 29 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:22 | yes | 10 | 33 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:38 | yes | 18 | 52 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:00 | yes | 14 | 35 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:49 | yes | 2 | 17 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:53 | yes | 20 | 30 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:42 | yes | 18 | 14 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:35 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:20 | yes | 7 | 29 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 11:53 | yes | 20 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:45 | yes | 14 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 08:39 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:29 | yes | 19 | 30 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:04 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:33 | no | 0 | 43 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:23 | yes | 14 | 21 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:56 | yes | 10 | 25 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:08 | yes | 5 | 24 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:02 | yes | 4 | 25 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:39 | yes | 15 | 32 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:53 | yes | 9 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:34 | yes | 4 | 8 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:50 | yes | 18 | 29 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:29 | yes | 20 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:11 | yes | 18 | 9 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:29 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:58 | yes | 23 | 42 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 07:48 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 11:44 | no | 0 | 29 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:04 | yes | 25 | 36 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:23 | yes | 13 | 44 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:01 | yes | 5 | 50 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:56 | yes | 3 | 22 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:01 | yes | 22 | 35 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Boon read as Boon Health
Unresolved, counted raw
AceUp
BetterUp for Individuals
ClientFol.io
CoachHub AIMY
Coachsma
EZRA by LHH, Adecco Group
LAK Group
Revenue.io
TalentLMS AI Coach
Torch.io
UStrive
Discontinued, still offered
No shut-down product was recommended here.