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LatestGoogle DeepMind4
Google DeepMindAny-to-Any

Google Releases Multimodal Gemma 4 31B Model

The new 31-billion-parameter model is an instruction-tuned, 'any-to-any' powerhouse released under a permissive Apache 2.0 license.

Apr 23, 2026
Major releaseApache 2.0
Gemma 4

Google DeepMind has expanded its open model lineup with the release of Gemma 4 31B Instruct. This new model is a dense, 31-billion-parameter foundation model, marking a major update and the first entry in the Gemma 4 series.

The most significant feature of this release is its native multimodality. Described as an "any-to-any" model, Gemma 4 moves beyond text-only interactions to incorporate vision capabilities, allowing it to process and understand both text and images. This positions the model as a powerful tool for building more sophisticated, context-aware AI applications.

As an instruction-tuned model—specifically designated as an "assistant" variant—Gemma 4 31B has been fine-tuned to follow user prompts and engage in helpful dialogue. This makes it well-suited for direct integration into chatbots, creative tools, and other interactive products.

Continuing its commitment to open development, Google has released Gemma 4 under the commercially-friendly Apache 2.0 license. This allows developers and businesses to freely use, modify, and deploy the model. The official weights and model card are available on Hugging Face.

Sources

  • google/gemma-4-31B-it-assistant

    Hugging Face

    Visit
OlderGoogle Releases 4B Multimodal Gemma 4 AssistantGoogle DeepMind · Any-to-Any · 6 months agoNewerGoogle Releases Gemma 4 Multimodal Open ModelGoogle DeepMind · Any-to-Any · 6 months ago

Get the model

Hugging Face

Specs

Parameters31B
Context window262K tokens
PrecisionBF16
ArchitectureGemma4AssistantForCausalLM
LicenseAPACHE-2.0
Downloads1.7M
Likes1.7K

Can you run it?

Runs on a 24 GB GPU at 4-bit.

  • BF16 (as published)

    80 GB GPU (A100 / H100) · 128 GB Mac Studio

    63.5 GB
  • 8-bit

    48 GB GPU (RTX 6000) or 2×24 GB · 64 GB Mac

    34.4 GB
  • 4-bit

    24 GB GPU (RTX 3090 / 4090) · 32 GB Mac

    20.1 GB
Your machine
GGUF builds
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.
  • KV cache sized for 8,192 tokens of context; longer prompts need proportionally more.

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Any-to-AnyText / LLMVision-Language
6 versions — view changelog

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