Gemma 4 31B IT
Gemma 4 31B is the flagship dense model in Google DeepMind's Gemma 4 family: 30.7 billion parameters, native text and image input, a 256K-token context window, built-in configurable thinking, and function calling, released as open weights under Apache 2.0.
Model
Gemma 4 31B is a 60-layer dense transformer with a ~550M-parameter vision encoder, so it accepts images at variable aspect ratios and resolutions alongside text. Interleaved local sliding-window and global attention layers, with unified keys and values and Proportional RoPE in the global layers, keep memory in check across its 256K-token context. It ships with a switchable thinking mode for step-by-step reasoning, native function calling for agentic workflows, and out-of-the-box support for 35+ languages (pre-trained on 140+).
This is the instruction-tuned variant, released as open weights under the Apache 2.0 license. Full details are in Google's announcement and the model card.
Dedicated Endpoint
DocsA Dedicated Endpoint is your own deployment of Gemma 4 31B IT, on an inference stack that Modal tunes and autoscales. Bring fine-tuned weights if you have them. Compute is billed by the second, and only while it runs.
modal endpoint create --model google/gemma-4-31B-it