according to the latest ranking of lmarena, an internationally recognized platform for evaluating large-scale ai models, tencent's hunyuan image 3.0 has ranked first among the 26 mainstream large-scale text-based image models in the world, surpassing top closed-source models such as nano-banana, and has drawn great attention from the industry.
this ranking is based on lmarena's unique "blind test" mechanism. users around the world anonymously compare and vote on the results of different models, directly reflecting the actual user experience. lmarena, launched by the university of california, berkeley, is considered one of the most reliable ai rankings currently available due to its practical evaluation mechanism and high traffic volume.
hunyuan image 3.0 was released on september 28 and open-sourced. within a week of its release, it gained global popularity. in addition to ranking first in lmarena's text-based image ranking, it also topped the hot list on the open-source community "hugging face" for a week, demonstrating its high technical competitiveness.
hunyuan image 3.0 is the first industry-grade native multimodal image model to be open-sourced and currently boasts the best performance among open-source text-based image models. equipped with common sense understanding and knowledge inference capabilities, it generates highly realistic and beautiful images through accurate semantic analysis. it also supports chinese and english text generation and long-form rendering, excelling in complex scenarios such as poster design, comic creation, and brand visualization.
currently, the text-to-image conversion function can be trialed on the hunyuan official website and tencent's "yuanbao" platform. image-to-image conversion, image editing, and multi-round interaction functions will be released soon.
