Financial Data and Key Metrics Changes - For the full year 2025, the company generated $79 million in revenue, representing a 159% year-over-year increase [13] - Gross profit reached $20 million, up 437% year-over-year, with gross margin improving to 25.4%, an increase of 13 percentage points from 12.2% in 2024 [17] - Adjusted net loss for the full year was $250 million, with the adjusted net loss margin narrowing significantly as commercialization advanced [17] Business Line Data and Key Metrics Changes - Revenue from AI-native products reached $53 million, up 143% year-over-year, while revenue from the open platform was around $26 million, up 198% year-over-year [13] - The company served more than 236 million users across over 200 countries and regions, including 214,000 enterprise customers and developers [14] - Revenue from international markets accounted for more than 70% of total revenue in 2025, with international revenue representing over 50% of total revenue for the open platform [15] Market Data and Key Metrics Changes - Average daily token consumption across the M2 tech model series was more than 6 times the level recorded in December 2025, with token consumption from coding plans growing by more than tenfold [9] - The company has seen strong traction in international markets since the release of M2.5, attracting significant inbound interest from new global customers [15] Company Strategy and Development Direction - The company aims to evolve from a large model company into a platform company for the AI era, focusing on defining and advancing new intelligence paradigms [19][20] - Strategic priorities include enhancing software development capabilities, improving workplace productivity, and advancing multimodal creation [18] - The company is committed to building next-generation models (M3 series) and establishing clear model differentiation [28] Management's Comments on Operating Environment and Future Outlook - Management believes that intelligence levels will advance significantly in 2026, with expectations of AI becoming a colleague-level collaborator in software development [18] - The company anticipates a meaningful increase in demand for its platform, with token volume likely to grow by one to two orders of magnitude [19] - Management expressed confidence in becoming a core builder of the AI platform ecosystem, supported by strong growth momentum [20] Other Important Information - The company has established a model coverage across video, speech, and music, with significant advancements in each area [10][11] - Internal AI agent interns now support nearly 90% of employees, enhancing organizational efficiency and feedback loops for product and technology development [56][58] Q&A Session Summary Question: How does MiniMax define an AI era platform company? - Management explained that the AI market is not zero-sum and that unique, differentiated innovation can create market fit, allowing MiniMax to become a platform company [25][26] Question: Will focusing on cross-modality hinder R&D development? - Management emphasized that integrating modeling modalities is essential for improving intelligence and that their approach has already validated this trend [32][35] Question: How should we view the transformation of programming intelligence? - Management clarified that L4 and L5 levels of intelligence represent significant advancements, with a focus on collaboration and innovation in programming tasks [39][40] Question: Is the explosive growth in token consumption a one-time dividend or a long-term trend? - Management views this growth as the beginning of a long-term trend, supported by proactive preparations for emerging market opportunities [49][51] Question: What insights have been gained from the deployment of internal agent interns? - Management noted that the use of AI agents has improved organizational workflows and informed R&D priorities for future model iterations [56][58]