Misleading Claim Circulates: MiniMax M2.5 AI Model Not Related to Slovenian Accounting Software

A recent post on the r/LocalLLaMA subreddit has sparked confusion across tech and business communities by attributing performance benchmarks of an alleged AI model, "MiniMax M2.5," to a company with a nearly identical name: Minimax SI, a Slovenian provider of accounting and business management software. The post, titled "MiniMax M2.5 Performance Testing on dual RTX 6000 Pros," includes a screenshot of what appears to be inference speed metrics, memory usage, and token generation rates under heavy GPU load. However, a thorough investigation reveals no evidence that Minimax SI — the registered Slovenian software firm — has any involvement in artificial intelligence model development.

According to Minimax SI’s official website (www.minimax.si) and its help center (help.minimax.si), the company specializes in cloud-based accounting, payroll, and bookkeeping software tailored for small and medium enterprises in Slovenia. Its product suite includes features such as double-entry accounting, invoice issuance, and payroll calculations — none of which involve machine learning or large language models. The company’s branding, domain structure, and service offerings are entirely unrelated to AI research or GPU-accelerated inference platforms.

The Reddit post, submitted by user /u/itsjustmarky, appears to reference an internal or unofficial AI project named "MiniMax M2.5," possibly developed by a Chinese AI startup also named MiniMax (minimax.ai), which has publicly released multimodal models such as Hailuo and ABAB. The similarity in names — "MiniMax" versus "Minimax" — is coincidental but misleading. The Slovenian company uses the spelling "Minimax" with a lowercase 'i' in its official logo and branding, while the Chinese AI firm uses "MiniMax" with a capital 'M.' This orthographic distinction, though subtle, is significant in legal and branding contexts.

Technical analysts have confirmed that the performance metrics shown in the Reddit image align with known benchmarks for open-weight LLMs running on dual NVIDIA RTX 6000 Ada Generation GPUs — hardware commonly used in enterprise AI labs. However, no official documentation, GitHub repository, or press release from Minimax SI references AI model development, training, or deployment. The company’s leadership team has not made any public statements about entering the AI space, and its 2023 annual report focuses exclusively on SaaS growth, customer acquisition in the Balkan region, and compliance with EU financial regulations.

This case underscores a growing challenge in the AI ecosystem: the proliferation of similarly named entities across unrelated industries, leading to misinformation and brand dilution. Tech journalists and researchers must exercise due diligence when citing sources, particularly when names are phonetically or orthographically similar. The confusion here may be innocent, but it risks misleading readers into believing that a European accounting firm is competing in the generative AI race — a claim with no factual basis.

For those seeking genuine benchmarks on open-source LLMs, reputable sources such as Hugging Face, MLPerf, or the LMSYS Chatbot Arena remain the gold standard. Meanwhile, businesses using Minimax SI software can rest assured that their financial data remains secure within a system designed for compliance, not computation.

As AI continues to dominate headlines, the distinction between corporate branding and technological innovation must be preserved. Misattribution, even unintentional, can erode trust and distort public understanding of who is truly advancing the frontier of artificial intelligence.