Question 1

What does turbo mean in this model's name?

Accepted Answer

It is a serving configuration, not a different Google model. The chute runs NVIDIA's NVFP4 quantization of Gemma 4 31B IT (nvidia/Gemma-4-31B-IT-NVFP4, built with TensorRT Model Optimizer) plus DFlash speculative decoding, trading a small amount of numerical precision for substantially faster, cheaper inference.

Question 2

How do I enable thinking mode?

Accepted Answer

Gemma 4 enables reasoning when the <|think|> control token appears at the start of the system prompt; remove it to disable thinking. When enabled, the model emits its reasoning before the final answer. Do not feed previous turns' thinking content back into the conversation history.

Question 3

What context window does it support?

Accepted Answer

256K tokens per the model card; config.json sets max_position_embeddings to 262,144. The hybrid local/global attention design with p-RoPE is what keeps memory usage manageable at that length.

Question 4

Can it process images?

Accepted Answer

Yes. Gemma 4 31B accepts text and image input with variable aspect ratio and resolution support, and scores 76.9 on MMMU Pro per the card. It does not accept audio; only the smaller E2B and E4B family members have audio encoders.

Question 5

What sampling settings does Google recommend?

Accepted Answer

Temperature 1.0, top_p 0.95, top_k 64, which match the shipped generation_config.json. The chute's own default temperature is 0.7, so pass temperature explicitly if you want the card-recommended behavior.

Question 6

How do I call it from the OpenAI SDK?

Accepted Answer

Set base_url to https://llm.chutes.ai/v1 with your Chutes API key and model to google/gemma-4-31B-turbo-TEE. Chat completions and streaming work as with any OpenAI-compatible endpoint.

Question 7

Is Gemma 4 licensed for commercial use?

Accepted Answer

Yes. Google released Gemma 4 under an Apache 2.0 license (see the Gemma 4 license page linked from the model card), and NVIDIA's NVFP4 quantization page states the model is ready for commercial and non-commercial use. Chutes billing is separate from the license.

Question 8

What does the TEE suffix mean?

Accepted Answer

The chute runs inside a Trusted Execution Environment: attested confidential-compute hardware that keeps prompts and outputs protected while being processed. It is a deployment guarantee on Chutes and does not change the model.

Gemma 4 31B turbo

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Gemma 4 31B turbo

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