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Mentoring software · November 2026 Edition

Together vs Mentorloop

Ten of fourteen models named Together first on the direct prompt; one named Mentorloop. Both were named by all fourteen models and Together carries 50 labels and Mentorloop 43, so the shares are not directly comparable.

Together

endorsed leader

Named in two categories this edition.

Mentorloop

accepted challenger

Named in two categories this edition.

First-choice share47%9%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#4A position in a field of 12; printed, not drawn.
Labels5043A 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.MentorcliQ was named alongside these two in ten of the fourteen direct answers. Together vs MentorcliQ · Together vs Mentornity · Together vs PushFar

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 modelsMentorloop
Direct101
Paraphrase1301 against Mentorloop
Comparative202 against Together
Budget-constrained042 against Together
Scale-constrained201 against Mentorloop
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.

Across every category in the November 2026 Edition, Together and Mentorloop were named in the same answer seventy-nine times, of the 184 answers naming Together and the 118 naming Mentorloop. In those answers Mentorloop took the first choice twenty-five times and Together twenty-seven.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Together and Mentorloop 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 Mentorloop first choice named as an alternative argued againstblank: not namedEach cell is one answer, Together on the left and Mentorloop on the right.

The direct prompt

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

Together first, Mentorloop an alternative

10 of 14 modelsMentorloop 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

Mentorloop first, Together an alternative

1 of 14 modelsTogether was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Mentorloop, Qooper alternatives: Chronus, Together

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.
Qwen 3.7 FlashMentorcliQ, Together Corporate Mentorship alternatives: Disprz, Mentorloop

Neither was named

2 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 Maverickno first choice
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
Mentorloop leads by thirty-one points.
Mentorloop44%#1 of 10
Together14%#3 of 10
The full small business standing →
Mid-marketThe figures above
The order flips: Together leads at mid-market.
Together47%#1 of 12
Mentorloop9%#4 of 12
The full mid-market standing →
Enterprise
Together leads by thirty-eight points.
Together38%#1 of 7
Mentorloop0%#7 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 Mentorloop

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

“Consider it for a smaller or lower-cost initial program, though some advanced capabilities may require an enterprise tier.” Perplexity Sonar · paraphrase prompt · soft negative
“Mentorloop — More budget-friendly, but may lack deep config capabilities” DeepSeek V4 Flash · scale prompt · soft negative
“The best mentoring program software for a company with a limited budget is Mentorloop, which starts at $299 per month.” Llama 4 Maverick · budget prompt · first choice
“Mentorloop and Qooper are particularly popular choices, as they balance functionality with cost-effectiveness” Claude Haiku 4.5 · direct prompt · first choice
“Mentorloop is noted as the best fit if you want a full platform and a price you can check before talking to sales” Claude Haiku 4.5 · budget prompt · first choice
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.