Google Gemma 4 31B Instruct

Gemma 4 31B Instruct is the dense, maximum-quality member of Google DeepMind's open Gemma 4 family, built for consumer GPUs and workstations rather than edge devices. It handles text and image inputs, processes video as sequences of frames, and generates text, with a 256K-token context window and support for over 140 languages under the Apache 2.0 license.

Against its same-family predecessor [[sibling:google-gemma-3-27b-it|Google Gemma 3 27B Instruct]], Gemma 4 introduces several documented changes: configurable thinking modes that emit internal reasoning before a final answer, and native function calling for agentic workflows.

Architecturally, Gemma 4 uses a hybrid attention mechanism interleaving local sliding-window and full global attention, with unified Keys and Values in global layers and Proportional RoPE to aid long-context performance. It sits alongside the latency-focused [[sibling:google-gemma-4-26b-a4b-it|Google Gemma 4 26B A4B Instruct]], a Mixture-of-Experts sibling that activates only a subset of its parameters per token for faster inference, whereas the 31B Dense model keeps all parameters active for quality.

Both pre-trained and instruction-tuned variants are released as open weights, and the model cards note that Gemma 4 underwent safety evaluations and sensitive-data filtering during training.

Sources

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

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