Alisa Davidson
Printed: June 18, 2025 at 9:17 am Up to date: June 18, 2025 at 9:17 am
Edited and fact-checked:
June 18, 2025 at 9:17 am
In Transient
MiniMax has launched its Hailuo 02 video mannequin, providing superior 1080p video era, excessive physics dealing with, and extremely environment friendly multimodal AI efficiency.
Chinese language AI firm MiniMax launched a brand new video era mannequin named Hailuo 02. The newest launch options native 1080p video output, superior instruction adherence, and improved dealing with of utmost bodily situations.
In accordance with collaborators concerned in early experimental testing, the mannequin demonstrates a singular capability to render intricate bodily actions—corresponding to these seen in gymnastics—with a stage of element that isn’t at present matched by different obtainable fashions. The corporate has inspired broader exploration of its capabilities by the inventive neighborhood.
MiniMax started improvement in August of the earlier yr by launching a demo model of its preliminary video era mannequin on a web-based platform. The prototype drew consideration from world creators, prompting the event of the Hailuo Video product, which has since been used to generate greater than 370 million movies.
Guided by a dedication to accessibility, MiniMax developed a brand new structure, Noise-aware Compute Redistribution (NCR), to extend mannequin effectivity with out rising prices. At comparable parameter scales, this design has improved coaching and inference effectivity by an element of two.5. The elevated effectivity has enabled deployment of a mannequin with thrice extra parameters than its predecessor, with out elevating utilization prices.
The mannequin is presently positioned in second place on the Synthetic Evaluation leaderboard, surpassing Veo 3, and is famous for producing 1080p decision outputs whereas demonstrating robust capabilities in simulating complicated bodily dynamics.
This expanded mannequin capability permits for deeper studying from knowledge, supported by a coaching dataset that’s 4 instances bigger and extra numerous than the earlier model. Mixed with structural and knowledge enhancements, Hailuo 02 reveals marked developments in immediate interpretation, instruction execution, and bodily simulation.
The result’s a extra succesful and scalable mannequin, delivering native 1080p video era with enhanced responsiveness to complicated inputs. MiniMax positions this replace as a step ahead in enabling broader, cost-effective entry to high-quality video creation instruments.
The newest enhancements to the mannequin have been totally deployed throughout the Hailuo Video net interface, cell utility, and open platform. Three video era codecs are at present obtainable: 768p for six seconds, 768p for 10 seconds, and 1080p for six seconds. Resulting from architectural developments, these companies are provided at pricing ranges that stay among the many best out there, each inside China and in comparison with world suppliers, together with established expertise companies and newer entrants.
MiniMax Emerges As AI Powerhouse With New M1 Mannequin, Backed By Tencent And Alibaba
MiniMax is a Shanghai-based AI startup based in December 2021, acknowledged as a number one “AI tiger” in China. It develops large-scale multimodal AI fashions—together with textual content, voice, picture, and notably video era (like Hailuo—and generates billions of tokens and tens of millions of video clips—all supported by main buyers like Alibaba, Tencent, and IDG. The agency, backed by Tencent Holdings and Alibaba Group, is a part of an elite group of home AI startups generally known as the Little Dragons, which have raised billions of {dollars} in enterprise funding over the previous yr.
Earlier this week, MiniMax launched a brand new giant language mannequin (LLM), MiniMax-M1, which it claims is extra environment friendly than closed-source opponents in China and outperforms DeepSeek’s newest R1-0528 mannequin in a number of benchmarks. The M1 mannequin helps a context size of 1 million tokens—eight instances that of DeepSeek R1—and requires solely about 30% of the sources DeepSeek wants underneath sure circumstances.
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About The Writer
Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.
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Alisa Davidson
Alisa, a devoted journalist on the MPost, focuses on cryptocurrency, zero-knowledge proofs, investments, and the expansive realm of Web3. With a eager eye for rising developments and applied sciences, she delivers complete protection to tell and interact readers within the ever-evolving panorama of digital finance.
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