Model comparison
OmniParser vs Phi-3.5 Mini
Capability radar, value bars, and side-by-side posture.
OmniParser
Not scored
value score
Phi-3.5 Mini
71
value score
OmniParser ctx
—
Phi-3.5 Mini ctx
128K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Phi-3.5 Mini71
Attribute tape
| Field | OmniParser | Phi-3.5 Mini |
|---|---|---|
| Developer | Microsoft AI | Microsoft AI |
| Context | — | 128K |
| Modalities | Text, Code | |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 71 |
| Summary | OmniParser is a Microsoft Research screen-parsing model that converts UI screenshots into structured, grounded elements so LLM-based agents can reliably identify and interact with buttons, icons, and text on any interface. It serves as a vision layer for computer-use agents rather than a general-purpose chat or reasoning model. | Compact Phi model for edge and cheap inference. |