MiniMax Reports 159% Revenue Growth for FY2025

Mar 5, 2026
MiniMax reported total revenue of $79 million for 2025, a 158.9% increase year over year, with international markets contributing over 70% of its earnings.

MiniMax reported total revenue of US$79.0 million for the year ended December 31, 2025, marking a 158.9% increase from the previous year, with more than 70% coming from international markets, announced in a press release. Gross profit rose 437.2% to US$20.1 million, resulting in a margin of 25.4%, up 13.2 percentage points from 2024.

Revenue from AI-native products grew 143.4% to US$53.1 million, driven by higher user engagement and monetization of products such as Hailuo AI. The company’s Open Platform and enterprise AI services saw revenue rise 197.8% to US$26.0 million, supported by an increase in paying users.

Selling and distribution expenses declined 40.3% to US$51.9 million, while administrative expenses increased 155.9% to US$36.8 million, partly due to listing-related costs and expanded headcount. Research and development spending rose 33.8% to US$252.8 million, reflecting continued investment in model training and multimodal capabilities.

MiniMax ended 2025 with an adjusted net loss of US$250.9 million and a cash balance of US$1.05 billion. The company reported serving more than 236 million users and 214,000 enterprise customers across over 200 countries and regions.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.