DiffusionGemma 26B A4B
Creator
Google DeepMind
Released
2026-06-10
Intelligence
13.5
Artificial Analysis Index
Coding
19.7
Artificial Analysis Index
In $/1M
$0.00
input tokens
Out $/1M
$0.00
output tokens
Blended $/1M
$0.00
3:1 blended
Speed
0
tokens / sec
Profile
License, openness, and modality — the governance layer.
License
Apache 2.0
commercial OK
Weights
Open
downloadable
Modalities
—
Parameters
25B
total
DiffusionGemma 26B-A4B is Google DeepMind's experimental open-weights text diffusion model based on the Gemma 4 26B-A4B Mixture-of-Experts architecture. It uses discrete diffusion to denoise 256-token canvases in parallel, targeting low-latency local and low-concurrency generation workloads with up to 4x faster text generation on dedicated GPUs. The model has 25.2 billion total parameters, 3.8 billion active parameters, a 256K context window, and multimodal text and image inputs.
Capability profile
Category strength across 20 domains, via LLM Stats.
Benchmark breakdown
Independent evaluation scores, normalized to 0–100.