LLMfamily
Gemma 4
Google's open-weight model family, related to Gemini.
Levelfamily
ClassLLM
Parametersnot in the notes
Contextnot in the notes
Released2 Apr 2026
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Benchmark Results
vendor-reportedmaintainer-run
GPQAknowledge and reasoning
84.3
050100
Score in %. Higher is better.
GPQA Diamondknowledge and reasoning
MMLU-Proknowledge and reasoning
SEA-HELMSoutheast Asian and Indonesian
79.75 95% CI [-1.25, +1.20]
04080
Score in index. Higher is better.
rank 1, SEA-HELM Indonesian
Gemma 4 31Bmaintainer-run
79.75 95% CI [-1.25, +1.20]
rank 1, SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps
Gemma 4 26B-A4BCheckpoint gemma-4-26B-A4B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
78.26 95% CI [-1.29, +1.32]
SEA-HELM leaderboard, 58 models, Indonesian (ID)
Gemma 4 31Bmaintainer-run
76.17 95% CI [-0.60, +0.59]
rank 1, SEA-HELM SEA average, open-weight models
Gemma 4 26B-A4BCheckpoint gemma-4-26B-A4B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
74.81 95% CI [-0.59, +0.62]
SEA-HELM leaderboard, 58 models, SEA average
Gemma 4 12BCheckpoint gemma-4-12B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
74.51 95% CI [-1.27, +1.29]
SEA-HELM leaderboard, 58 models, Indonesian (ID)
Gemma 4 E4BCheckpoint gemma-4-E4B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
69.65 95% CI [-1.40, +1.30]
SEA-HELM leaderboard, 58 models, Indonesian (ID)
Gemma 4 12BCheckpoint gemma-4-12B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
69.31 95% CI [-0.64, +0.67]
SEA-HELM leaderboard, 58 models, SEA average
Gemma 4 E4BCheckpoint gemma-4-E4B-it as listed; release view (data last updated 18 Sep 2026); score is the average of 2000 bootstrapsmaintainer-run
66.3 95% CI [-0.65, +0.65]
SEA-HELM leaderboard, 58 models, SEA average
Gemma 4 E2Bmaintainer-run
64.13 95% CI [-1.39, +1.41]
SEA-HELM Indonesian, open-weight models, average of 2,000 bootstraps
Gemma 4 E2Bmaintainer-run
58.82 95% CI [-0.64, +0.66]
04080
Score in score. Higher is better.
SEA-HELM SEA average, open-weight models
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
successor
Gemma 3n is the parent (successor)medium confidencenotesGemma 4 12B belongs to this familymultimodal LLM23 May 202612BGemma 4 26B-A4B belongs to this familymultimodal LLM2 Apr 202625.2BGemma 4 31B belongs to this familymultimodal LLM2 Apr 202630.7BGemma 4 E2B belongs to this familyedge LLM2 Apr 20265.1BGemma 4 E4B belongs to this familyedge LLM2 Apr 20268BWhere 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, 2 models. Confidence and evidence are the notes' own.
Identity
- Developer
- Google, Google DeepMind
- Family
- not in the notes
- 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
- not in the notes
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Note
- Released in E2B, E4B, 31B and 26B A4B sizes (Google release log); release log date 31 Mar 2026 vs announcement 2 Apr 2026 (open question)
- Context length
- not in the notes
- Input
- text
- 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
- not in the notes
- Footprint
- not in the notes
- 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
- not stated
- 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.
Links
ModelGemma 4Google, LLM
Gemma 4Google, LLMUse CasesClinical LLM (Open Weights)HealthcareProcess Optimisation and Advanced Process ControlIndustrialTelecom Domain LLMs and BenchmarksTelecomUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025
Conch CementIn production, 23 Jun 2025
PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.
PT Amman Mineral Nusa Tenggara (AMMAN)In production, 8 Jul 2026MIND IDResearch, 14 Oct 2025Conch CementIn production, 23 Jun 2025PT Kalbe Morinaga IndonesiaIn production, Oct 2024+2 moreDeployments of these use cases; none names this model.Models 6
Sources
- Gemma 4: Byte for byte, the most capable open models blog.google https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/
- जेम्मा रिलीज़ | Gemma | Google AI for Developers ai.google.dev https://ai.google.dev/gemma/docs/releases
- Gemini 4 Argon: qué anunció Google y qué significa el nombre orcarouter.ai https://www.orcarouter.ai/es/blog/gemini-4-argon
- google/gemma-4-31B-it , Hugging Face huggingface.co https://huggingface.co/google/gemma-4-31B-it
- google (Google) huggingface.co https://huggingface.co/google
- huggingface.co/api/models/google/gemma-4-31B-it/commits/main https://huggingface.co/api/models/google/gemma-4-31B-it/commits/main
- Google Releases Gemma 4: Open Models Under Apache 2.0 datanorth.ai https://datanorth.ai/news/google-releases-gemma-4-open-models
- Gemma 4 E2B vs E4B: How to Run a Multimodal AI Model on Your Phone mindstudio.ai https://www.mindstudio.ai/blog/gemma-4-e2b-e4b-edge-models-phone-local
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Gemma 4", https://aurion.semai.id/models/google-gemma-4/, records of October 2026.