Gemma 4 31B Instruct🔒Private

• 🔒 Runs in a Trusted Execution Environment with hardware attestation
• 🆕 Google's Gemma 4 generation, dense 31B-parameter open model
• 🧠 Configurable thinking mode for step-by-step reasoning before answering
• 📏 This deployment exposes a 32K-token context window
• 👁️ Multimodal input: accepts both text and images
• 🌐 Pre-trained across many languages
• 🔧 Native function calling and system-prompt support
• 📚 Apache-2.0 licensed open weights

Google

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Gemma 4 31B Instruct is a member of Google's Gemma 4 open-weights family, here served inside a Trusted Execution Environment so that enclave identity and configuration can be independently verified via hardware attestation. The underlying model is a roughly 31B-parameter dense transformer with a vision encoder enabling text-and-image input. It is compact enough to run on capable single-GPU workstations.

Compared with its same-family predecessor, Gemma 3 27B, Gemma 4 introduces several concrete changes documented on Google's model card. It adds a built-in thinking mode for explicit step-by-step reasoning, native system-role support, and native function calling for agentic workflows. These features make it more directly usable for tool-driven and structured-output tasks than the earlier generation.

On safety, Google's model card describes improvements across content-safety categories relative to prior Gemma releases while aiming to keep unjustified refusals low. The model retains broad multilingual pre-training, and the 31B variant can process video supplied as frames.

Within Venice's catalog this instance carries a 32K context window and web-search plus end-to-end-encryption capabilities. Siblings include the non-enclave Google Gemma 4 31B Instruct and the Gemma 4 26B A4B Uncensored mixture-of-experts variant. Weights are released under Apache-2.0.