Gemma 4 12B
MultimodalGemma 4 12B is Google DeepMind's encoder-free multimodal instruction-tuned model with 11.95 billion parameters and a 256K context window. It supports text, image, audio, and video inputs with text output, projecting image patches and audio waveforms directly into a single decoder-only transformer for streamlined local deployment.
Key Specifications
Parameters
12.0B
Context
-
Release Date
May 23, 2026
Average Score
59.4%
Timeline
Key dates in the model's history
Announcement
May 23, 2026
Last Update
September 10, 2026
Today
September 19, 2026
Technical Specifications
Parameters
12.0B
Training Tokens
-
Knowledge Cutoff
January 1, 2025
Family
-
Capabilities
MultimodalZeroEval
Benchmark Results
Model performance metrics across various tests and benchmarks
Reasoning
Logical reasoning and analysis
GPQA
• Self-reported
Other Tests
Specialized benchmarks
AIME 2026
No tools • Self-reported
BIG-Bench Extra Hard
• Self-reported
CodeForces
Elo rating • Self-reported
CoVoST2
BLEU • Self-reported
FLEURS
Speech recognition accuracy (1 - WER) • Self-reported
Humanity's Last Exam
No tools • Self-reported
LiveCodeBench v6
• Self-reported
MathVision
• Self-reported
MedXpertQA
MM • Self-reported
MMLU-Pro
• Self-reported
MMMLU
• Self-reported
MMMU-Pro
• Self-reported
MRCR v2 (8-needle)
128k • Self-reported
OmniDocBench 1.5
Average edit distance • Self-reported
License & Metadata
License
apache_2_0
Announcement Date
May 23, 2026
Last Updated
September 10, 2026
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