Activefastllm Open Source

Gemma 3 1B

by Google· Released March 2025· Cutoff February 2025

Gemma 3 1B is a lightweight, open-source language model from Google, designed for efficient on-device and edge deployment. It offers strong performance for its size, with a 1 billion parameter count and support for a 128K token context window.

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

8192 tokens

Modalities

text

Parameters

License

Gemma License

Capabilities

Text GenerationCode GenerationSummarizationInstruction FollowingReasoningMultilingual Support

Best For

Lightweight, on-device text generation and code tasks where low latency and small model size are critical.

Strengths

Very small model size (1B parameters) enabling fast inference on edge devices
128K token context window, unusually large for a 1B model
Strong performance on reasoning and coding benchmarks relative to size
Open-source with permissive license

Limitations

Limited to text-only input and output (no vision or multimodal)
Lower overall capability compared to larger models (e.g., Gemma 3 27B)
May struggle with complex, nuanced tasks requiring deep reasoning

Use Cases

On-device chatbots and virtual assistants

Real-time code autocompletion and generation

Text summarization for mobile apps

Educational tools for language learning

Lightweight content generation for social media

Data preprocessing and text classification

Prototyping and rapid experimentation

Improvements Over Previous Model

Introduced 128K context window, up from 8K in Gemma 2 2B
Improved reasoning and coding benchmarks (e.g., HumanEval score ~40% vs ~30% for Gemma 2 2B)
Added support for multilingual capabilities with better non-English performance
Reduced model size from 2B to 1B while maintaining competitive performance
New Gemma License allows broader commercial use compared to previous versions

Back to all models

Activefastllm Open Source

Gemma 3 1B

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

128K tokens

Max output

8192 tokens

Modalities

text

Parameters

License

Gemma License

Capabilities

Text GenerationCode GenerationSummarizationInstruction FollowingReasoningMultilingual Support

Best For

Lightweight, on-device text generation and code tasks where low latency and small model size are critical.

Strengths

Very small model size (1B parameters) enabling fast inference on edge devices
128K token context window, unusually large for a 1B model
Strong performance on reasoning and coding benchmarks relative to size
Open-source with permissive license

Limitations

Limited to text-only input and output (no vision or multimodal)
Lower overall capability compared to larger models (e.g., Gemma 3 27B)
May struggle with complex, nuanced tasks requiring deep reasoning

Use Cases

On-device chatbots and virtual assistants

Real-time code autocompletion and generation

Text summarization for mobile apps

Educational tools for language learning

Lightweight content generation for social media

Data preprocessing and text classification

Prototyping and rapid experimentation

Improvements Over Previous Model

Introduced 128K context window, up from 8K in Gemma 2 2B
Improved reasoning and coding benchmarks (e.g., HumanEval score ~40% vs ~30% for Gemma 2 2B)
Added support for multilingual capabilities with better non-English performance
Reduced model size from 2B to 1B while maintaining competitive performance
New Gemma License allows broader commercial use compared to previous versions

Back to all models