google/gemma-4-31B-it

Overview of Gemma 4 31B-it

Google DeepMind's Gemma 4 31B-it is a 30.7 billion parameter instruction-tuned model from the Gemma 4 family, designed for multimodal understanding and text generation. It supports text and image inputs, with a substantial 256K token context window, and maintains multilingual capabilities across over 140 languages. This model is part of a family that introduces significant architectural advancements, including configurable thinking modes for enhanced reasoning and native function-calling support for agentic workflows.

Key Capabilities

• Multimodal Processing: Handles text and image inputs, with support for variable aspect ratios and resolutions, and can process video by analyzing frame sequences.
• Advanced Reasoning: Features a built-in reasoning mode that allows for step-by-step thought processes before generating answers.
• Extended Context: Utilizes a 256K token context window, enabling deep awareness for complex, long-context tasks through a hybrid attention mechanism.
• Enhanced Coding & Agentic Features: Demonstrates notable improvements in coding benchmarks and includes native function-calling for robust autonomous agents.
• Native System Prompt Support: Integrates native support for the system role, facilitating more structured and controllable conversations.

Good For

• Complex Reasoning Tasks: Its advanced reasoning capabilities make it suitable for tasks requiring logical deduction and problem-solving.
• Multimodal Applications: Ideal for applications that require understanding and generating content from both text and image data, including document parsing, UI understanding, and video analysis.
• Code Generation and Agentic Workflows: Excels in coding benchmarks and supports structured tool use, making it effective for developing intelligent agents and programming assistants.
• Long-Context Applications: The 256K token context window is beneficial for tasks requiring extensive contextual understanding, such as summarizing long documents or engaging in prolonged conversations.