Request for Refund - Coding Plan Service Quality Below Expectations
Nessuno ha ancora preso questa issue.
Valutazione
- Difficoltà
- 5/5
- Tempo stimato
- Più di una settimana
- Idoneità per principianti
- 5/100
- Tipo di issue
- Bug
- Chiarezza
- Da chiarire
- Stato di attività
- Ferma
- Ambito
- payments
Direzione di ricerca
La issue non indica file del repository, test o punti di ingresso del codice; riguarda un rimborso per un abbonamento a Coding Plan. Non può essere avviata come contributo al repository finché non vengono forniti un problema di prodotto concreto e riproducibile e la modifica al codice prevista.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
Basic Information - Models Used
MiniMax M2 via Coding Plan ($50 USD subscription)
Basic Information - Scenario Description
I purchased the Coding Plan ($50 USD) on December 21, 2025 (Group ID: 2001568072258822525) via UnionPay. After testing the service for two days, I found that the coding capabilities and output quality significantly fall short of what was advertised in the marketing materials. The service does not meet the expectations for professional use, making it unsuitable for my intended purposes.
Is this badcase known and solvable?
- I have followed the GitHub README of the model and found no duplicates in existing issues.
- I have checked Minimax documentation and found no solution.
Information about environment
Subscription Details:
- Subscription: MiniMax Coding Plan ($50 USD/month)
- Purchase Date: December 21, 2025
- Group ID: 2001568072258822525
- Payment Method: UnionPay
- Platform: platform.minimax.io
Issue:
Service quality does not meet advertised standards. Requesting full refund due to non-conformity with described capabilities.
Call & Execution Information
Refund Request Details:
I am requesting a full refund of $50.00 USD to my UnionPay account for the following reasons:
- Service quality does not meet advertised specifications
- Coding capabilities significantly below expectations
- Output quality unsuitable for professional use
- Service purchased only 2 days ago (December 21, 2025)
- Under consumer protection laws (EU Digital Content Directive 2019/770, UK Consumer Rights Act 2015, FTC Act Section 5), I have the right to refund for services that do not conform to description
I have also sent formal refund requests to model@minimaxi.com and api@minimaxi.io.
Description
Summary
I am formally requesting a full refund for the MiniMax Coding Plan subscription purchased on December 21, 2025. The service quality does not meet the advertised specifications and expectations.
Specific Issues
- Coding Output Quality: The generated code quality is significantly below professional standards advertised in marketing materials
- Performance: Response quality and accuracy do not match the capabilities described on platform.minimax.io
- Value for Money: The $50/month subscription does not deliver the promised value
Expected Resolution
- Full refund of $50.00 USD to UnionPay account
- Immediate cancellation of subscription to prevent future charges
- Confirmation of refund processing timeline
Legal Basis
Under internationally recognized consumer protection principles:
- EU Digital Content Directive (2019/770) Article 7
- UK Consumer Rights Act 2015 Section 42
- FTC Act Section 5 (USA)
- "Fit for purpose" doctrine in common law jurisdictions
I am within my rights to request a full refund for services that demonstrably fail to meet advertised specifications within a reasonable timeframe (2 days since purchase).
Contact
Formal refund requests have also been sent to:
- model@minimaxi.com
- api@minimaxi.io
I look forward to a response within 5 business days. Thank you for your understanding and cooperation.
- Lingua principale
- Python
- Stelle
- 102
- Fork
- 30
- Metriche di merge delle PR
- Nessuna PR unita negli ultimi 30g
Guida per i contributori
Nessuna guida per i contributori indicizzata per questo repository
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
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