Mentoring software · October 2026 Edition
Together vs MentorCity
Six of fourteen models named Together first on the direct prompt; one named MentorCity. Together was named by fourteen of the fourteen models and MentorCity by seven and Together carries 46 labels and MentorCity 10, so the shares are not directly comparable.
Named in three categories this edition.
Named in one category this edition.
First-choice share28%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate4%0%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#7A position in a field of 12; printed, not drawn.
Labels4610A 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.Qooper was named alongside these two in nine of the fourteen direct answers. Together vs Mentorloop · Together vs MentorcliQ · 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 modelsMentorCity
Direct61
Paraphrase80
Comparative10
Budget-constrained022 against Together
Scale-constrained10
Negative00
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 MentorCity 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 | | |
Together MentorCity first choice named as an alternative argued againstblank: not namedEach cell is one answer, Together on the left and MentorCity on the right.The direct prompt
The plain question, one answer per model, grouped by where Together and MentorCity stood in it.
Together first, MentorCity not the choice
6 of 14 modelsMentorCity was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Mentorloop, Together alternatives: Guider, Qooper
Gemini 3.5 FlashTogether alternatives: Guider, Mentorloop, Qooper
Mistral SmallTogether alternatives: Mentorgain, Qooper
Kimi K2Together alternatives: MentorcliQ, Qooper
MiniMax M2.5Mentorloop, Together alternatives: Chronus, MentorcliQ, Mentorgain, PushFar
GPT-6 LunaTogether alternatives: Chronus, MentorcliQ, Qooper
MentorCity first, Together not the choice
1 of 14 modelsTogether was named in the answer but not as the choice, or not at all.Llama 4 MaverickGuider, MentorCity, Qooper, Together Corporate Mentorship
Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.GPT-5.4 miniChronus alternatives: MentorcliQ, Together
Perplexity SonarMentorcliQ alternatives: Chronus, Together
Grok 4.1 FastMentorcliQ alternatives: Chronus, Qooper, Together
DeepSeek V4 FlashMentorcliQ alternatives: Chronus, Qooper, Together
Muse Glimmer 30BMentorloop alternatives: Guider, MentorCity
Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.Qwen 3.7 FlashChronus, MentorFlow alternatives: CoachHub, Lighthouse, Talmundo
GLM 4.7 FlashXMentorcliQ, Mentorloop alternatives: Chronus, Qooper
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
MentorCity leads by two points.
MentorCity8%#3 of 12Together6%#5 of 12Mid-marketThe figures above
The order flips: Together leads at mid-market.
Together28%#1 of 12MentorCity6%#7 of 12Enterprise
Together leads by eighteen points.
Together18%#3 of 8MentorCity0%#– of 8What the models said about Together
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of five in this category shown.
“What to Avoid on a Tight Budget ... Together Platform: Starts at ~$10,000–$12,000/year” Kimi K2 · budget prompt · hard negative
“Major enterprise players like Together, Chronus, and MentorcliQ typically start at $10,000+ per year” Gemini 3.5 Flash · budget prompt · soft negative
“I want to run an internal program for my company. | Together or MentorcliQ | Strong integrations, automated matching, and robust executive reporting.” Gemini 3.5 Flash · comparative prompt · first choice
“Together Platform: Widely considered one of the best for user experience (UX) and ease of use... making it incredibly easy to launch with minimal admin hours.” Gemini 3.5 Flash · scale prompt · first choice
“Together and Guider are frequently highlighted as top choices because they are easy to set up” Mistral Small · paraphrase prompt · first choice
What the models said about MentorCity
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“The best mentoring program software for a mid-market B2B company includes MentorCity, Together Corporate Mentorship, Qooper, and Guider.” Llama 4 Maverick · direct prompt · first choice
“The best mentoring program software for a company with a limited budget is MentorCity, which excels for smaller teams” Llama 4 Maverick · budget prompt · first choice
“MentorCity (Best Overall Budget Pick)” Grok 4.1 Fast · budget prompt · first choice
Also compared
Together vs MentorloopTogether vs MentorcliQTogether vs PushFarTogether vs ChronusTogether vs GuiderTogether vs QooperMentorloop vs MentorCityMentorcliQ vs MentorCityPushFar vs MentorCityChronus vs MentorCityGuider vs MentorCityMentorCity vs QooperAll twenty-eight head-to-head pages and the full mentoring software 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.