Model comparison
pyannote/segmentation-3.0 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
pyannote/segmentation-3.0
Not scored
value score
Gemini 2.5 Pro
93
value score
pyannote/segmentation-3.0 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 | pyannote/segmentation-3.0 | Gemini 2.5 Pro |
|---|---|---|
| Developer | pyannote | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Voice-activity-detection | Text, Code, Image, Audio, Video |
| Openness | Open Weights | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| Summary | Imported from Hugging Face Hub (pyannote/segmentation-3.0). | Google frontier multimodal model. |