Activefastllm Open Source

Gemma 3

by Google· Released March 2025· Cutoff February 2025

Gemma 3 is a lightweight, state-of-the-art open model from Google, built from the same research and technology used to create the Gemini models. It is designed for responsible AI development and offers strong performance across a variety of text generation tasks, with support for function calling and structured outputs.

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

8192 tokens

Modalities

text

Parameters

License

MIT

Capabilities

Text GenerationFunction CallingCode GenerationStructured Outputs (JSON mode)StreamingMultilingual Support

Best For

Efficient, on-device or server-side text generation tasks requiring a capable yet lightweight open model.

Strengths

Strong performance for its size, competitive with larger models
Open-source with permissive licensing (MIT)
Efficient inference suitable for deployment on resource-constrained environments
Supports function calling and structured outputs for tool use

Limitations

No native vision or multimodal capabilities
Smaller context window (32K) compared to frontier models
May not match the reasoning depth of larger, proprietary models
Limited to text-only input and output

Use Cases

Chatbots and conversational AI

Code generation and assistance

Text summarization and rewriting

Data extraction and structured output generation

Educational tools and tutoring

Content creation and drafting

On-device AI applications

Improvements Over Previous Model

New model family, no direct predecessor; based on Gemini research and technology
Offers 8B parameter size for efficient deployment
Supports function calling and structured outputs
Released under MIT license for broad accessibility

Back to all models

Activefastllm Open Source

Gemma 3

by Google· Released March 2025· Cutoff February 2025

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

32K tokens

Max output

8192 tokens

Modalities

text

Parameters

License

MIT

Capabilities

Text GenerationFunction CallingCode GenerationStructured Outputs (JSON mode)StreamingMultilingual Support

Best For

Efficient, on-device or server-side text generation tasks requiring a capable yet lightweight open model.

Strengths

Strong performance for its size, competitive with larger models
Open-source with permissive licensing (MIT)
Efficient inference suitable for deployment on resource-constrained environments
Supports function calling and structured outputs for tool use

Limitations

No native vision or multimodal capabilities
Smaller context window (32K) compared to frontier models
May not match the reasoning depth of larger, proprietary models
Limited to text-only input and output

Use Cases

Chatbots and conversational AI

Code generation and assistance

Text summarization and rewriting

Data extraction and structured output generation

Educational tools and tutoring

Content creation and drafting

On-device AI applications

Improvements Over Previous Model

New model family, no direct predecessor; based on Gemini research and technology
Offers 8B parameter size for efficient deployment
Supports function calling and structured outputs
Released under MIT license for broad accessibility

Back to all models