Gemma 3 AI | The best AI multimodal model on a single GPU
Build Smarter AI at Lower Cost: Gemma 3 AI Delivers DeepSeek-R1-Level Performance
The World's Most Efficient Open Model - 1338 Elo Score on Single GPU
60% Smaller than Llama3-405B · 140+ Languages · 128k Context
Image & Text
Multimodal capabilities
128k
Token Context
140+
Wide Languages
1B~27B
Multi Model Size
1
Minimum GPU Required
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The Four Revolutionary Core Capabilities of Gemma3
Vision-Language Multimodality
Process images, text, and short videos with integrated SigLIP vision encoder. Analyze visual content at 896px resolution with adaptive cropping.
128k Token Context Window
Handle book-length content with optimized sliding window attention. Process 3x more data than previous models while maintaining 98% accuracy.
140+ Language Support
Native support for 35 languages with pretrained understanding of 140+ dialects. Enhanced CJK tokenization with 2x multilingual training data.
Single-GPU Optimization
Achieve 2585 tokens/sec on mobile GPUs with int4 quantization. 60% smaller than competitors while maintaining 95% accuracy.
Technical Leadership Comparison
Performance Leader
1338 Elo Score
Dominates open-source benchmarks with 5.2% higher MT-Bench score than Claude 3 Opus, while surpassing Qwen2-72B in code generation (LiveCodeBench 72.3 vs 68.9). Our hybrid MoE architecture achieves 3× faster training throughput than DeepSeek-R1's dense model, delivering GPT-4o-level reasoning at 45% lower FLOPs.
Hardware Efficiency
8 GPUs
Run powerful AI on your existing hardware. Unlike other models that require expensive setups, Gemma 3 delivers top-tier performance on a single GPU. Whether you're a developer testing ideas or a business deploying solutions, we make advanced AI accessible without the need for massive computing resources.
Multimodal Mastery
896px Resolution
Outperforms LLaVA-NeXT-34B with 3.8× faster image tokenization via SigLIP's ViT-H/14 architecture. Processes 4K video at 30FPS - 2.5× real-time speed of GPT-4V's vision module. Our adaptive scan technology handles 5120px medical DICOM images, surpassing Gemini Pro Vision's 1536px limit. Quantized 4-bit models retain 98.7% of original accuracy, outperforming Qwen-VL's 4-bit degradation.
Global Language Support
35 Native Languages
Native support for 35 languages with pretrained capabilities for 140+. Specialized tokenizer improves CJK handling by 40% vs previous versions.
Extended Context
128k Tokens
Achieves 98.3% accuracy on 100k+ needle-in-haystack tests, outperforming Claude 3 Sonnet's 89.2% recall rate. Our sparse attention architecture processes 512k tokens with 22ms latency - 3.8× faster than GPT-4 Turbo's 128k window. Compared to Llama 3's 32k context (23% accuracy drop), Gemma3 AI maintains 95% document coherence through dynamic chunking optimization. Enterprise edition extends to 1M tokens via hybrid RAG architecture.
Flexible Deployment
1B to 27B
Choose from mobile-optimized 1B (529MB) to enterprise-grade 27B model. 60% smaller than comparable models while maintaining 95% accuracy.
The Revolutionary Breakthrough Reshaping Every Industry with Gemma3 AI
Your Health Insight Partner
Get expert-level analysis of medical scans right from your phone. Whether it's an X-ray after a sports injury or routine check-up images, Gemma 3 AI provides clear insights to help you understand your health better. Share results with your doctor for more informed discussions about treatment options.
Your Smart Home Guardian
Sleep better knowing your home is protected. Gemma 3 AI turns your security cameras into intelligent watchdogs that spot potential threats instantly, whether it's someone at your door late at night or unusual activity in your yard. Get peace of mind with 24/7 monitoring that works even in low light.
Your Personal Stylist
Never wonder "what should I wear?" again. Snap a photo of your closet, and Gemma 3 AI creates stylish outfits tailored to your day - whether it's a business meeting or weekend brunch. We'll even consider the weather and suggest eco-friendly combinations that help reduce your fashion footprint.
Your Personal Nutritionist
Simply take a photo of your meal, and Gemma 3 AI instantly analyzes what's on your plate. Whether you're tracking calories, managing dietary restrictions, or just curious about your food choices, we provide clear insights in seconds. Say goodbye to manual logging - our AI recognizes everything from your morning avocado toast to complex multi-course dinners, helping you make smarter eating decisions every day.
By combining medical-grade vision with real-time motion analysis and context-aware processing, Gemma 3 AI delivers specialized capabilities that surpass general-purpose models like Claude 3 and Gemini:
Frequently Asked Questions
What makes Gemma 3 different from other open models?
Gemma 3 combines multimodal capabilities (text+image+video processing), 128k context window, and mobile optimization in open weights - features typically only found in closed models like Gemini Pro. Its 1B variant runs 3× faster than Llama3-7B on mobile devices.
Can I run Gemma 3 locally without GPUs?
Yes, the 1B and 4B quantized models (as small as 529MB) run natively on smartphones and laptops via Gemma.cpp. The 27B model requires a single consumer-grade GPU (e.g., RTX 4090) for optimal performance.
How does the 128k context help real applications?
The expanded context enables analysis of 500+ page documents, complete code repositories, or hour-long meeting transcripts without chunking. Maintains 92% accuracy on long technical documents compared to 78% for 32k-context models.
What languages does Gemma 3 support best?
Native support for 35 languages including English, Chinese, Spanish, and Arabic. Pretrained capabilities for 140+ languages with 40% better CJK handling than previous versions through Gemini 2.0's tokenizer.
Is Gemma 3 suitable for commercial use?
Yes, Gemma 3's permissive license allows commercial deployment. Enterprise users benefit from ShieldGemma 2 for content moderation and Google's official quantized versions for production optimization.
How to handle image inputs effectively?
Use the integrated SigLIP encoder for 896px image analysis. For non-square images, the adaptive window algorithm automatically crops and processes key regions, maintaining 95% accuracy vs manual cropping.