message

Book a FREE Consultation

No strings attached, just valuable insights for your project

Valid number
send-icon
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
Where innovation meets progress

Gemma 3

Gemma 3

Google’s Multimodal Open AI Model Family (1B–27B + Variants)

What is Gemma 3?

Gemma 3 is Google DeepMind’s third-generation family of open-weight AI models, ranging from 1B to 27B parameters. Designed for both developers and researchers, these models deliver best-in-class text generation, advanced image understanding, and massive 128K-token context, making Gemma 3 a strong alternative to proprietary LLMs. Unlike previous versions, Gemma 3 supports full multimodal input (text + images) from 4B upwards and can run efficiently on a single GPU or TPU, even the flagship 27B variant rivals much larger models in real-world tasks.

Key Features of Gemma 3

arrow
arrow

Four Model Sizes

  • 1B (text only, 32K tokens)
  • 4B, 12B, 27B (multimodal, 128K tokens)

Multimodal Capabilities

  • 4B+/12B/27B can analyze both text and images via a SigLIP vision encoder

Massive Long-Context

  • Up to 128,000 tokens, enabling document-level understanding and persistent memory

140+ Languages Supported

  • Out-of-the-box multilingual performance for global applications

Pretrained & Instruction-Tuned Variants

  • Both generic and task-optimized weights, fine-tuned with human and AI feedback

Open Weights & Responsible Commercial Use

  • Download, deploy, and adapt models on your own servers or devices, with permissive licensing

High Efficiency & Quantized Precision

  • Available from 32-bit down to compact int4 for mobile and consumer GPUs

Use Cases of Gemma 3

arrow
arrow

AI Chatbots & Support Assistants

  • Multimodal agents respond to both screenshots and text queries

Image Analysis & Vision Tasks

  • Medical imaging, OCR, technical diagrams, text+image understanding

Global Education & Tutoring

  • AI that teaches and explains in 140+ languages, with picture-based learning

Advanced Content Generation

  • Document summarization, multi-part storytelling, and cross-format QA

Research & Data Science Assistants

  • Long-context scientific computation, code reasoning, and open data analysis

Gemma 3

vs

Other Open LLMs

Feature Gemma 3 LLaMA 3 DeepSeek V3 Gemini 1.5 Pro*
Size Range 1B–27B 8B–405B 2B–67B >300B
Multimodal Image/Text (4B+) Text/Basic Img No Image/Audio/Video/Text
Max Context 128K (32K on 1B) 8K–128K Up to 32K 1M+
Open Weights Yes Yes Yes No
Language Support 140+ 30+ 50+ 35+
Notable Strength Efficiency, vision Large scale Multilingual Ultra-long, multimodal

The Future

of Open Multimodal AI

With ongoing community improvements and broad support from Google, Gemma 3 accelerates robust, transparent, high-performance AI for products, research, and beyond.

Get Started with Gemma 3

Download Gemma 3 variants from Kaggle or Hugging Face, try it in Google AI Studio, or deploy using Vertex AI. Experiment with both pre-trained and instruction-tuned weights, optimizing for your compute budget and domain.

* Let's Book Free Consultation ** Let's Book Free Consultation *