Recently, the AI unicorn MiniMax was unexpectedly caught in a public controversy due to a pricing adjustment following a model upgrade. When launching the new flagship model M3, the company changed its billing model from per-use to token-based, and significantly increased the price of monthly subscription plans. Due to the lack of prior communication and a buffer period, this change directly led to a sudden reduction in quotas for many developers, with some users calculating an actual cost increase of up to 257%, and many users accused the company of betraying its users.
This price hike incident is not just an operational mistake but also a concentrated reflection of deep-seated contradictions in MiniMax's business model. For a long time, the company has heavily relied on revenue from its consumer-end virtual companion app Talkie to fund the high-cost development of base models. However, as computing costs continue to rise, and with fierce price competition in the industry this year, the original low-cost customer acquisition strategy has become unsustainable. In response to criticism, the parent company of MiniMax, Xiyu Technology, issued an apology statement and introduced compensation measures for both new and existing users, attempting to ease the trust crisis.
Analyzing from the technical and product perspective, the M3 model has core advantages such as advanced programming capabilities, ultra-long context, and native multi-modal support, and it performs well in multiple benchmark tests, indeed possessing certain industry competitiveness. However, in the current domestic market, facing price cuts from manufacturers like DeepSeek and Xiaomi, MiniMax's pricing strategy appears particularly awkward. If it cannot achieve a simultaneous increase in volume and price in real B-end enterprise scenarios, its high pricing strategy will face severe market challenges.
In addition, MiniMax is currently at a critical "July Siege" phase. On July 9th, the company will face a large-scale restriction of restricted shares, causing the circulating shares to double, which poses a significant pressure on already fragile market sentiment. At the same time, as global top AI companies such as Anthropic and OpenAI enter the listing process, the valuation logic for large model companies in the secondary market has undergone a fundamental shift—investors no longer simply pursue Benchmark scores, but instead focus more on verifiable commercialization data and profitability.
To address funding needs and valuation pressures, MiniMax has recently initiated a dual capital platform layout of "A+H". However, whether the financing premium on the Sci-Tech Innovation Board can be realized ultimately depends on whether it can transition from being seen as "a replaceable API commodity" to becoming a core competitive enterprise service provider.
For MiniMax, the price hike incident is just a microcosm of the industry. Under the backdrop of fading technological glamour and increasingly strict commercial realities, how to smoothly navigate the share release peak and prove its ability to sustainably generate blood supply will be the most difficult challenge this unicorn company faces in the next six months.
