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DiffusionGemma 26B A4B IT

Google DeepMind · 2026-06-10 · 25.8B parameters

DiffusionGemma 26B A4B IT is Google DeepMind's instruction-tuned open-weight discrete-diffusion model built on a sparse Gemma 4 MoE foundation. It uses an autoregressive encoder and bidirectional diffusion decoder, supports configurable reasoning, and accepts interleaved text, image, and video input.

Benchmark scores

BenchmarkScore
AA-LCR14.3
AA-Omniscience Index-59.0
Artificial Analysis Agentic Index2.2
Artificial Analysis Coding Index19.7
Artificial Analysis Intelligence Index13.5
Artificial Analysis Omniscience Accuracy16.8
Artificial Analysis Omniscience Hallucination Rate91.1
Artificial Analysis Openness Index44.4
Capability135.8
CritPt0.3
GDPval-AA v2554
GDPval-AA v2 (normalized)2.7
GPQA Diamond66.9
Humanity's Last Exam (Text-Only)10.2
IFBench (Artificial Analysis)59.5
MMMU Pro66.5
SciCode (Artificial Analysis)34.3
Terminal-Bench 2.112.4
𝜏³-Banking6.6
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