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Google DeepMindReleased March 12, 2025

Gemma 3

Open Source#19 Arena Rank27B parameters

Gemma 3 holds a solid spot in the Arena rankings at #19. Context window: 0.128K tokens.

Context

128K

Input

Free

Key Specifications

🏆

Arena Rank

#19

📐

Context Window

128K

📥

Input Price

per 1M tokens

Free

📤

Output Price

per 1M tokens

Free

🧠

Parameters

27B

🔓

Open Source

Yes

Best For

Open sourceon-deviceresearch

About Gemma 3

Gemma 3, developed by Google DeepMind, is an open-source model family available in sizes from 1B to 27B parameters, built from research underlying the Gemini program. The model supports multimodal inputs including text and images, along with over 140 languages, making it one of the most versatile open-source models available. Gemma 3 achieves competitive performance with much larger models through efficient architecture design and training techniques developed for the Gemini model line. Its compact sizes enable deployment on consumer hardware from laptops to mobile devices, democratizing access to capable multimodal AI. Free and open-source under Google's permissive license, it supports commercial use and fine-tuning. The model represents Google's strategy of releasing capable open-source models derived from its proprietary Gemini research, building developer ecosystem engagement while maintaining the commercial advantage of its larger models.

Pricing per 1M tokens

Input Tokens

Free

Output Tokens

Free

Frequently Asked Questions

What is Gemma 3?
Gemma 3, developed by Google DeepMind, is an open-source model family available in sizes from 1B to 27B parameters, built from research underlying the Gemini program. The model supports multimodal inputs including text and images, along with over 140 languages, making it one of the most versatile open-source models available. Gemma 3 achieves competitive performance with much larger models through efficient architecture design and training techniques developed for the Gemini model line. Its compact sizes enable deployment on consumer hardware from laptops to mobile devices, democratizing access to capable multimodal AI. Free and open-source under Google's permissive license, it supports commercial use and fine-tuning. The model represents Google's strategy of releasing capable open-source models derived from its proprietary Gemini research, building developer ecosystem engagement while maintaining the commercial advantage of its larger models.
How much does Gemma 3 cost?
Input pricing for Gemma 3 is Free per million tokens; output runs Free. No cost at all.
What is Gemma 3's context window?
The context window for Gemma 3 is 128K tokens. That's the maximum amount of text you can feed into a single prompt, including system instructions, conversation history, and the actual query.
Is Gemma 3 open source?
Gemma 3 is fully open source. You can grab the weights, run it on your own hardware, and fine-tune it for specific tasks. That flexibility is a big deal for teams with strict data requirements.
What is Gemma 3 best for?
The sweet spot for Gemma 3 is: Open source, on-device, research. If your workload fits one of these categories, it's worth benchmarking against alternatives.