Model comparison
IP-Adapter vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
IP-Adapter
Not scored
value score
Gemini 2.5 Pro
93
value score
IP-Adapter 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 | IP-Adapter | Gemini 2.5 Pro |
|---|---|---|
| Developer | Ada | 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 | IP-Adapter is a lightweight image-prompt adapter for text-to-image diffusion models that enables reference-image-guided generation by injecting learned cross-attention layers into a frozen base model. It allows image conditioning alongside or instead of text prompts without retraining the underlying diffusion checkpoint. | Google frontier multimodal model. |