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Gemma 4 31B

Google DeepMind

Catalogue only Open weights

Last reviewed:

Sovereignty and hosting

Catalogue only

This model is catalogued for reference. It is not hosted on LLM EU yet, and no first-party endpoint serves it here. Requests to it go to the provider directly, under that provider's own terms.

Summary

Gemma 4 31B is published by Google DeepMind as open weights with 32.7B parameters under Apache-2.0. It accepts text and images and answers in text. The published configuration records no context window, so this card carries none. It is a base checkpoint without instruction tuning. The card is catalogue-only: LLM EU does not run this model. The publisher states no language coverage on the model page.

Specifications

Provider
Google DeepMind (US)
Context window
Not verified: the provider has not documented this claim.
Parameters
32.7B
Modalities
text, vision
License
apache-2.0 · licence
Open weights
yes
Release date
12 Mar 2026
Tasks
Multilingual support

Languages

Strong: —

Adequate: —

Strong

    Adequate

      Not verified: the provider has not documented this claim. — a language is listed as strong only where a source claims it; the card links the evidence where one exists.

      When to use it

      Strengths

      • open weights are published on Hugging Face and can be downloaded without a vendor agreement
      • Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement

      Limits

      • catalogue only — LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
      • no evaluation has been run by LLM EU
      • the published configuration records no context window, so the card carries none
      • at 32.7B parameters, self-hosting needs a high-memory accelerator
      • vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model