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MiniMax officially open-sources the H3 raw image model, producing 16.8 million pixels in 6 steps

MiniMax officially released H3-Image and open-sourced the model weights. This model can directly generate images of 4096×4096, approximately 16.8 million pixels, without additional upscaling. According to official data, the generation time is less than 10 seconds, with speeds reaching up to 5 times that of mainstream products. Text-to-image and image editing have been integrated into the same model, supporting up to 16 reference images.H3-Image follows the architecture of the H3 video model, removing the audio component while retaining the original text encoder and redesigning the decoder for images. The core image generation network has 33.1 billion parameters, requiring only 6 sampling steps to generate an image. On August 7, MiniMax researcher Kiro revealed in a Reddit AMA that the team is developing a dedicated image model based on the H3 homogenous architecture and plans to open-source the weights. They also proposed a workflow where the image model generates the first frame, which is then handed over to H3 for video generation.On November 3, Pruna AI launched P-H3-Image based on the open-source H3 video model, supporting raw images and retouching, compressing the generation network from 33.1 billion to approximately 20 billion parameters, requiring only 8 sampling steps. The minimal quantization version is about 20 GB, with peak memory usage of approximately 21 GB when generating 8 million pixel images. The official MiniMax version retains the 33.1 billion parameter generation network, with a sampling step count of 6, and supports higher resolutions and more reference images, with the original weights plus the reused text encoder totaling approximately 135 GB. There are regional restrictions on the open-source license; the United States, United Kingdom, European Union, and South Korea are not within the community license authorization regions. Companies with annual revenues exceeding 1 million dollars or those providing model hosting services to third parties must obtain separate authorization in advance.

first_img CITIC Securities released the second phase report on the listing guidance for MiniMax A shares

The website of the China Securities Regulatory Commission shows that CITIC Securities released the "Report on the Progress of the Guidance Work for the Initial Public Offering and Listing of MiniMax Group Inc. (Phase II)" on October 15. This phase of guidance started on July 10, 2026, and lasted for more than three months. CITIC Securities, together with Tongshang Law Firm and Ernst & Young, continuously monitors the company's operational performance and compliance in accordance with regulatory requirements and the guidance agreement, and conducts guidance through on-site training and communication on specific issues.The report states that the guidance target has established an internal governance structure and relevant company management systems, but there is still room for optimization in execution. CITIC Securities will collaborate with intermediary institutions, combine due diligence, continuously refine and improve corporate governance and standardized operations, propose rectification suggestions, and supervise the implementation of internal controls. In the next phase, work will continue with Tongshang Law Firm and Ernst & Young, focusing on enhancing standardized operational levels and preparing for guidance acceptance.On May 29, 2026, CITIC Securities signed a guidance agreement with MiniMax and submitted a guidance filing application to the Shanghai Regulatory Bureau of the China Securities Regulatory Commission on the same day, which was accepted, marking MiniMax's official entry into the guidance period. The large model company MiniMax (00100.HK) was listed on the main board of the Hong Kong Stock Exchange on January 9, 2026, approximately four years from establishment to listing, and has focused on the research and development of full-modal models since its inception.

first_img The core ARR of China's open-source large models is approximately 6-8 billion USD

Robonomics author FD published the China Open-Source LLM Tracker on September 1, 2026, stating that the total ARR of China's open-source large models is approximately $10-15 billion, with core LLM revenue around $6-8 billion after excluding ByteDance / Seedance. Growth has not relied on price wars; after DeepSeek raised prices by about 3-12 times, usage still increased, and the average price of the Zhipu API rose by 101% while token usage exceeded 40 times within the year. The best estimate for overseas revenue is approximately $2 billion.Zhipu MaaS ARR increased from about $250 million in March to an annualized monthly rate of about $1.6 billion in August, with a weekly annualized rate of $2 billion. August revenue has already surpassed its API revenue for the first half of the year; the API gross margin is 24.6%, and inference costs per token decreased by 80%. MiniMax ARR rose from about $100 million in December 2025 to over $800 million in annualized weekly revenue by August 2026, with B2B accounting for about 80%. Kimi ARR increased from about $100 million in March to about $300 million by mid-June. DeepSeek's revenue from January to July was approximately $70 million, with the latest ARR estimated at about $1.2 billion.ByteDance's annualized AI revenue is approximately $4 billion, of which Seedance accounts for about $2 billion.
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