DeepSeek, the Chinese AI lab that recently upended industry assumptions about sector development costs, has released a new family of open-source multimodal AI models that reportedly outperform OpenAI’s DALL-E 3 on key benchmarks.
Dubbed Janus Pro, the model ranges from 1 billion (extremely small) to 7 billion parameters (near the size of SD 3.5L) and is available for immediate download on machine learning and data science hub Huggingface.
The largest version, Janus Pro 7B, beats not only OpenAI’s DALL-E 3 but also other leading models like PixArt-alpha, Emu3-Gen, and SDXL on industry benchmarks GenEval and DPG-Bench, according to information shared by DeepSeek AI.
Its release comes just days after DeepSeek made headlines with its R1 language model, which matched GPT-4’s capabilities while costing just $5 million to develop—sparking a heated debate about the current state of the AI ind
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Author: Jose Antonio Lanz
