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    Home > Finance > DeepSeek says its Janus Pro AI model beats rivals in image generation
    Finance

    DeepSeek says its Janus Pro AI model beats rivals in image generation

    Published by Global Banking & Finance Review®

    Posted on January 27, 2025

    2 min read

    Last updated: January 27, 2026

    This image highlights DeepSeek's Janus Pro AI model, which has been reported to excel in image generation compared to Stability AI and OpenAI. The article discusses the advancements in AI technology and its impact on the finance sector.
    DeepSeek's Janus Pro AI model surpasses rivals in image generation - Global Banking & Finance Review
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    Tags:innovationtechnologyfinancial sectorArtificial Intelligenceinvestment

    Quick Summary

    DeepSeek's Janus Pro AI model outshines competitors in image generation, surpassing OpenAI and Stability AI in benchmarks.

    DeepSeek's Janus Pro AI Model Outshines Competitors in Image Generation

    (Reuters) - DeepSeek's new open-source AI model surpassed Stability AI and Microsoft-backed OpenAI's models in benchmarks for image generation, the Chinese startup said in a technical report on Monday.

    The company said its Janus-Pro-7B AI model outperformed OpenAI's DALL-E 3 and Stability AI's Stable Diffusion in a leaderboard ranking for image generation using text prompts.

    The new model is an upgrade over Janus, which was launched late last year and comes on the heels of DeepSeek launching a new assistant based on the DeepSeek-V3 model that has become the top-rated free application on Apple's App Store in the United States.

    Tech stocks such as Nvidia and Oracle plummeted on Monday after the China-based company said its DeepSeek-V3 model topped the leaderboard for open-source models.

    DeepSeek's technical report said the new model improves upon Janus by upgrading its training processes, data quality, and model size, resulting in better image stability and richer details.

    Janus-Pro achieved more visually appealing and stable image outputs by adding 72 million high-quality synthetic images and balancing them with real-world data, the report added.

    The startup added that its larger model version, with up to 7 billion parameters, improved training speed and accuracy in text-to-image generation and task comprehension.

    OpenAI and Stability AI did not immediately respond to requests for comment.

    (Reporting by Akash Sriram in Bengaluru; Editing by Tasim Zahid and Maju Samuel)

    Key Takeaways

    • •DeepSeek's Janus Pro AI model outperformed OpenAI and Stability AI.
    • •The model excels in image generation benchmarks using text prompts.
    • •Janus-Pro-7B is an upgrade over the previous Janus model.
    • •The model uses 72 million high-quality synthetic images.
    • •DeepSeek-V3 model tops the leaderboard for open-source models.

    Frequently Asked Questions about DeepSeek says its Janus Pro AI model beats rivals in image generation

    1What is the main achievement of DeepSeek's Janus Pro model?

    DeepSeek's Janus Pro AI model surpassed rivals like OpenAI's DALL-E 3 and Stability AI's Stable Diffusion in image generation benchmarks.

    2How does Janus Pro improve upon the previous Janus model?

    Janus Pro improves on the original Janus model by enhancing training processes, data quality, and model size, leading to better image stability and richer details.

    3What impact did DeepSeek's announcement have on tech stocks?

    Following the announcement that DeepSeek's DeepSeek-V3 model topped the leaderboard for open-source models, tech stocks such as Nvidia and Oracle experienced a significant drop.

    4What enhancements were made to the training data of Janus Pro?

    Janus Pro added 72 million high-quality synthetic images and balanced them with real-world data to achieve more visually appealing and stable image outputs.

    5How many parameters does the larger version of Janus Pro have?

    The larger version of Janus Pro features up to 7 billion parameters, which improves training speed and accuracy in text-to-image generation.

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