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Mentoring software · November 2026 Edition

Together vs Mentorgain

Ten of fourteen models named Together first on the direct prompt; zero named Mentorgain. Together was named by fourteen of the fourteen models and Mentorgain by eight and Together carries 50 labels and Mentorgain 12, so the shares are not directly comparable.

Together

endorsed leader

Named in two categories this edition.

Mentorgain

accepted challenger

Named in one category this edition.

First-choice share47%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 12; printed, not drawn.
Labels5012A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Together reading right to left. Rank and label count are printed, not drawn.Mentorloop was named alongside these two in ten of the fourteen direct answers. Together vs MentorcliQ · Together vs Mentornity · Together vs Mentorloop

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 mentoring software page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
TogetherFirst choices, of fourteen modelsMentorgain
Direct100
Paraphrase130
Comparative202 against Together
Budget-constrained012 against Together
Scale-constrained21
Negative101 against Together
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 Together and Mentorgain 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
Together Mentorgain first choice named as an alternative argued againstblank: not namedEach cell is one answer, Together on the left and Mentorgain on the right.

The direct prompt

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

Together first, Mentorgain an alternative

10 of 14 modelsMentorgain was named in the answer but not as the choice, or not at all.
GPT-5.4 miniTogether alternatives: MentorcliQ, Mentorloop
Gemini 3.5 FlashTogether alternatives: Chronus, Mentorloop, Qooper
Perplexity SonarTogether alternatives: MentorcliQ, Mentorloop, Qooper
Grok 4.20Together alternatives: Chronus, MentorcliQ, Qooper
Mistral SmallMentorcliQ, Together alternatives: Growthspace, Qooper
DeepSeek V4 FlashTogether alternatives: MentorcliQ, Mentorloop, Qooper
Kimi K2Together alternatives: MentorcliQ, Mentorloop, Qooper
MiniMax M2.5MentorcliQ, Together alternatives: Chronus, Mentorgain, Mentorloop
GPT-6 LunaTogether alternatives: MentorcliQ, Mentorloop, Qooper
Muse Glimmer 30BTogether alternatives: Growthspace, MentorcliQ, Mentorloop, Ten Thousand Coffees

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.
Claude Haiku 4.5Mentorloop, Qooper alternatives: Chronus, Together

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice
Qwen 3.7 FlashMentorcliQ, Together Corporate Mentorship alternatives: Disprz, Mentorloop
GLM 4.7 FlashXno first choice

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
Together leads by fourteen points.
Together14%#3 of 10
Mentorgain0%#7 of 10
The full small business standing →
Mid-marketThe figures above
Together leads by forty-three points.
Together47%#1 of 12
Mentorgain4%#6 of 12
The full mid-market standing →
Enterprise
Together leads by thirty-eight points.
Together38%#1 of 7
Mentorgain0%#– of 7
The full enterprise standing →

What the models said about Together

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

“Avoid starting with enterprise platforms such as MentorcliQ or Together” Perplexity Sonar · budget prompt · hard negative
“Enterprise products such as Chronus, MentorcliQ, Together, and Qooper are generally purchased by employers rather than individuals.” Perplexity Sonar · negative prompt · soft negative
“now part of Absorb's broader learning management ecosystem rather than operating as an independent, dedicated mentoring platform” Muse Glimmer 30B · comparative prompt · soft negative
“Together Mentoring — Excellent for structured programs; strong matching, analytics, and ROI tracking. Popular with companies like yours; high user satisfaction (4.9/5).” Grok 4.20 · scale prompt · first choice
“Together is a top recommendation due to its strong user ratings, comprehensive feature set, and proven fit for mid-market organizations” Mistral Small · paraphrase prompt · first choice
“I'd generally recommend Together Mentorship if your priority is a strong mix of ease of use, scalability, and measurable outcomes” GPT-5.4 mini · paraphrase prompt · first choice

What the models said about Mentorgain

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

“Mentorgain, Together Platform, and PushFar are the strongest options for lean HR teams.” Muse Glimmer 30B · scale prompt · first choice
“🏆 Top Recommendation: Mentorgain” Qwen 3.7 Flash · budget prompt · first choice
“Tight budget, <100 people | Mentorgain or PushFar” Kimi K2 · comparative 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.