Google Open Source Gemma-3: Comparable to DeepSeek, Computing Power Plummets

Jinshi data news on March 13th, last night, Google (GOOG.O) CEO Sundar Pichai announced that the latest multimodal large model GEMMA-3 open source, featuring low cost and high performance. Gemma-3 has four sets of parameters: 1 billion, 4 billion, 12 billion, and 27 billion. Even with the largest 27 billion parameters, only one H100 is needed for efficient inference, which is at least 10 times more Computing Power efficient than similar models to achieve this effect, making it the currently most powerful small parameter model. According to blind test LMSYS ChatbotArena data, Gemma-3 ranks second only to DeepSeek's R1-671B, higher than OpenAI's o3-mini, Llama3-405B, and other well-known models.