Project AURIONAI Use-Cases Research & Innovation
multimodal LLM

Gemma 4 31B

Google's 31B dense text and image model, top open model on SEA-HELM (18 Sep 2026); tech report 2 Jul 2026. 31B-it: finetunes 287, adapters 331, merges 38, quants 325.

Google
Levelmodel
Classmultimodal LLM
Parameters30.7B
Context256,000
Released2 Apr 2026
Opennessopen weights permissive
Runs onsingle datacentre GPU, consumer GPU
Statusactive

Benchmark Results

vendor-reportedmaintainer-run
GPQAknowledge and reasoning
Reported as 'GPQA' by secondary source; subset not statedvendor-reported
84.3
050100

Score in %. Higher is better.

GPQA Diamondknowledge and reasoning
vendor-reported
84.3
050100

Score in %. Higher is better.

MMLU-Proknowledge and reasoning
vendor-reported
85.2
050100

Score in %. Higher is better.

SEA-HELMSoutheast Asian and Indonesian
Indonesianmaintainer-run
79.75 95% CI [-1.25, +1.20]
04080

Score in index. Higher is better.

rank 1, SEA-HELM Indonesian18 Sep 2026 leaderboard.sea-lion.ai
maintainer-run
79.75 95% CI [-1.25, +1.20]
04080

Score in score. Higher is better.

rank 1, SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps18 Sep 2026 leaderboard.sea-lion.ai
maintainer-run
76.17 95% CI [-0.60, +0.59]
04080

Score in score. Higher is better.

rank 1, SEA-HELM SEA average, open-weight models18 Sep 2026 leaderboard.sea-lion.ai
Where this comes from
Every score names who ran it: vendor-reported, maintainer-run or independent. A rank is shown with the population it was ranked in (gap rule 3).

Lineage

distillfinetune
Gemma 4 31B to Gemma-SEA-LION-v4.5-E2B-IT: distill, high confidenceGemma 4 E2B to Gemma-SEA-LION-v4.5-E2B-IT: finetune, high confidenceGemma to Gemma-SEA-LION-v4.5-E2B-IT: finetune, low confidenceGemmaGemmaGoogleGemma 4 31BGemma 4 31BGoogle, Apr 2026Gemma 4 E2BGemma 4 E2BGoogle, Apr 2026Gemma-SEA-LION-v4.5-E2B-ITGemma-SEA-LION-v4.5-E2B-ITAI Singapore, May 2026
AI SingaporeGemma-SEA-LION-v4.5-E2B-IT is a child (distill)high confidencemodel card
Where this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 4 models. Confidence and evidence are the notes' own.

R&D Topics

Identity

Developer
Google, Google DeepMind
Family
Gemma 4
Released
2 Apr 2026 sourcesannouncement page
Weights published
–
Record checked
10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
dense transformer Dense; hybrid local sliding-window + global attention, p-RoPE
Total parameters
30.7B sources
Active parameters
–
Checkpoint parameters
–
Note
31B (flagship of the family)
Context length
256,000 tokens
Input
text, image
Output
text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
Apache License 2.0 sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
single datacentre GPU, consumer GPU
Footprint
Single datacentre GPU; 4-bit on consumer GPU
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
measured on a benchmark
  • SEA-HELM Indonesian leaderboard (ID aggregate, first score column of the Indonesian Competency and Task Scores table): 79.75 (95% CI -1.25 to +1.20), run by AI Singapore (SEA-HELM leaderboard maintainer) leaderboard.sea-lion.ai
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Industry Use Cases

No industry use case links this model.

Sources

  1. google/gemma-4-31B-it , Hugging Face huggingface.co https://huggingface.co/google/gemma-4-31B-it
  2. google (Google) huggingface.co https://huggingface.co/google
  3. SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/SEA https://leaderboard.sea-lion.ai/detailed/SEA
  4. SEA-HELM Leaderboard leaderboard.sea-lion.ai/detailed/ID https://leaderboard.sea-lion.ai/detailed/ID
  5. Gemma 4: Byte for byte, the most capable open models blog.google https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
  6. huggingface.co/api/models/google/gemma-4-31B-it/commits/main https://huggingface.co/api/models/google/gemma-4-31B-it/commits/main
  7. Google Releases Gemma 4: Open Models Under Apache 2.0 datanorth.ai https://datanorth.ai/news/google-releases-gemma-4-open-models

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemma 4 31B", https://aurion.semai.id/models/google-gemma-4-31b/, records of October 2026.