Google just dropped Gemma 3, and it’s already outperforming DeepSeek V3 and O3 Mini in key benchmarks! In this video, I fully test Gemma 3’s capabilities across coding, image generation, logical reasoning, and more to see if it truly dominates the open-source AI space.
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[Link's Used]:
Gemma 3 Blog Post: blog.google/technology/developers/gemma-3/
Website: ai.google.dev/gemma
Hugging Face Model Card: huggingface.co/collections/google/gemma-3-release-…
Chat Demo: aistudio.google.com/u/1/prompts/new_chat
HuggingFace Gemma 12B Spaces Demo: huggingface.co/spaces/huggingface-projects/gemma-3…
Ollama Gemma Model Card: ollama.com/library/gemma3:27b
What’s Covered in This Video?
Full breakdown of Gemma 3's architecture & key features
Head-to-head comparison vs. DeepSeek V3 & O3 Mini
Live testing: Coding, Math, Image Generation, Logical Reasoning
Strengths, Weaknesses & Best Use Cases
Final Verdict: Is Gemma 3 the best open-source multimodal AI?
Gemma 3’s Key Features:
Multimodal – Handles text, images, and code seamlessly
Advanced Reasoning – Excels in logic and problem-solving
Image Generation – Competes with top-tier AI models
Coding Mastery – Writes and debugs code effectively
Open-Source – Available for developers and researchers
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📢 What do you think about Gemma 3? Let me know in the comments! 👇
#Gemma3 #ai #DeepSeekV3 #o3mini #opensourceai #aicomparison #multimodal #GoogleGemma
Tags:
Gemma 3, AI, DeepSeek V3, O3 Mini, Open Source AI, AI Comparison, Multimodal AI, Google AI, AI Testing, AI Benchmarks, AI Coding, AI Image Generation, AI Reasoning, LLM, Large Language Models, AI Research, Open AI Models, AI Technology,
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