google/gemma-4-31B

Overview

Gemma 4 is a family of multimodal open models developed by Google DeepMind, offering both pre-trained and instruction-tuned variants. These models are capable of processing text and image inputs (with E2B, E4B, and 12B models also supporting audio) and generating text outputs. Key features include a substantial context window of up to 256K tokens and broad multilingual support for over 140 languages.

Key Capabilities

• Multimodality: Processes text, images (with variable aspect ratio and resolution), and video. E2B, E4B, and 12B models also natively support audio.
• Reasoning: Designed with configurable thinking modes for enhanced reasoning capabilities.
• Long Context: Supports context windows up to 128K tokens for smaller models and 256K tokens for medium models.
• Coding & Agentic Workflows: Achieves significant improvements in coding benchmarks and includes native function-calling support for autonomous agents.
• Diverse Architectures: Available in Dense (E2B, E4B, 12B, 31B) and Mixture-of-Experts (26B A4B) variants, optimized for various deployment scenarios from mobile to servers.
• Native System Prompt Support: Facilitates more structured and controllable conversations.

Good For

• Content Creation: Generating creative text, code, and marketing copy.
• Conversational AI: Powering chatbots and virtual assistants.
• Multimodal Understanding: Tasks involving image analysis, document parsing, video analysis, and audio processing (for supported models).
• Research & Development: Serving as a foundation for VLM and NLP research, and developing agentic applications.