Google Gemma 4 31B Instruct

Gemma 4 31B Instruct is the dense flagship of Google DeepMind's Gemma 4 family, a 30.7B-parameter multimodal model that accepts text and image input (and can process video as sequences of frames) while generating text output. It offers a 256K-token context window, native function calling, and configurable thinking modes, aimed at running reasoning, coding, and multimodal tasks under an Apache 2.0 license.

Architecturally it is a dense transformer paired with a vision encoder, using a hybrid attention scheme that interleaves local sliding-window layers with full global attention and Proportional RoPE (p-RoPE) for efficient long-context handling; quantization-aware and w4a16 checkpoints are published for smaller-footprint deployment.

Relative to the sibling [[sibling:google-gemma-4-26b-a4b-it|Gemma 4 26B A4B Instruct]], a Mixture-of-Experts variant with fewer active parameters, this 31B is dense—trading that inference efficiency for the family's highest-quality tier. Against the previous generation [[sibling:google-gemma-3-27b-it|Gemma 3 27B]], Google DeepMind highlights Gemma 4's built-in reasoning with configurable thinking, native system-prompt and function-calling support, and coding improvements.

Google DeepMind publishes instruction-tuned results in the official Gemma 4 31B model card, spanning reasoning, coding, vision, long-context, and safety tasks, and states the models undergo the same safety evaluations as its proprietary Gemini models.

Sources

google / gemma-4-31b-it· docs.api.nvidia.comgemma-4-31b-it Model by Google· build.nvidia.comgoogle/gemma-4-31B · Hugging Face· huggingface.co

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.