LLM Reference

DiffusionGemma Models by Google DeepMind

Google DeepMindApache 2.0Open source
1 model2026Up to 256k ctx

Last refreshed 2026-06-12. Next refresh: weekly.

Details

ResearcherGoogle DeepMind
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models1
Released2026
Max context256k

Capabilities

VisionAll models
MultimodalAll models
ReasoningAll models

About

Google DeepMind's open-weight text-generation family that adapts the Gemma 4 26B A4B mixture-of-experts backbone for discrete diffusion. DiffusionGemma generates text by denoising 256-token canvases in parallel instead of decoding strictly left to right, while retaining multimodal text and image input support.

Decision facts

Best fit
vision and multimodal workreasoningcoding
Capability starting point
DiffusionGemma 26B A4B IT with 256k context and reasoning and multimodal inputs
Lowest tracked input
Not tracked
Closest related family
T5Gemma

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

1 in view

Use when the workload needs 256k context, 26B parameters, and reasoning.

2026-06256k context26B parametersreasoning

Release Timeline

1 release group
2026-06
1 current
DiffusionGemma 26B A4B IT
256k context26B parametersreasoning
Current

Specifications(1 models)

DiffusionGemma model specifications comparison
ModelReleasedContextParametersVisionMultimodalReasoning
DiffusionGemma 26B A4B IT2026-06256k26BYesYesYes