Model comparison
DiffusionGemma vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
DiffusionGemma
Not scored
value score
Gemini 2.5 Pro
93
value score
DiffusionGemma ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | DiffusionGemma | Gemini 2.5 Pro |
|---|---|---|
| Developer | Google DeepMind | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| Summary | DiffusionGemma is an open-weights generative text model from Google DeepMind that uses discrete diffusion to generate text in parallel blocks rather than token-by-token, enabling significantly faster output. Built on the Gemma 4 architecture as a 26B MoE model, it accepts multimodal inputs (text, image, video) and is released under Apache 2.0. | Google frontier multimodal model. |