Gemma 4 31B IT

Google DeepMind

Catalogue only Open weights

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 IT is the largest instruction-tuned model of Google DeepMind’s Gemma 4 generation, published under Apache-2.0 with a 256K-token context window. It processes text and images with variable resolution and generates text; the vendor states multilingual support in over 140 languages. The model card reports 85.2% on MMLU Pro, 84.3% on GPQA Diamond and 88.4% on MMMLU, all self-reported.

Specifications

Provider
Google DeepMind (US)
Context window
262k
Parameters
31.27B
Modalities
text, vision
License
apache-2.0 · licence
Open weights
yes
Release date
11 Mar 2026
Tasks
vision, reasoning, multilingual-support, coding, summarization

Languages

Strong: en, de, fr, es, it, pt

Adequate: nl, pl, sv, cs, ro, el, uk, ru, ar, hi, zh, ja, ko, tr

Languages

Strong

  • en
  • de
  • fr
  • es
  • it
  • pt

Adequate

  • nl
  • pl
  • sv
  • cs
  • ro
  • el
  • uk
  • ru
  • ar
  • hi
  • zh
  • ja
  • ko
  • tr

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

  • Apache-2.0 licence, unlike earlier Gemma generations
  • 256K-token context window
  • text and image input with variable resolution
  • vendor reports multilingual coverage in over 140 languages

Limits

  • all published scores are self-reported by the vendor
  • 31B parameters need a large-memory accelerator at BF16
  • no evaluation has been run by LLM EU