Model comparison
Z-Image vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
Z-Image
Not scored
value score
Gemini 2.5 Pro
93
value score
Z-Image 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 | Z-Image | Gemini 2.5 Pro |
|---|---|---|
| Developer | Tongyi-MAI | 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 | Z-Image is an open-weight text-to-image generation model family from Alibaba's Tongyi-MAI lab, built around a 6B-parameter foundation model. The family includes a full base model, a fast distilled Turbo variant, and an image-editing variant, with an emphasis on photorealism, bilingual (English/Chinese) text rendering, and efficient inference on consumer hardware. | Google frontier multimodal model. |