Model comparison
ROBE-1 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
ROBE-1
Not scored
value score
Gemini 2.5 Pro
93
value score
ROBE-1 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 | ROBE-1 | Gemini 2.5 Pro |
|---|---|---|
| Developer | Globalise | 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| Summary | ROBE-1 is an AI model published by the GLOBALISE project on Hugging Face, intended for tasks related to historical document analysis and named entity recognition in Dutch archival texts. It is a task-specific checkpoint rather than a general-purpose foundation model. | Google frontier multimodal model. |