Model comparison
q_ner-07 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
q_ner-07
Not scored
value score
Gemini 2.5 Pro
93
value score
q_ner-07 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 | q_ner-07 | Gemini 2.5 Pro |
|---|---|---|
| Developer | compiledcode83 | 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 | q_ner-07 is a named entity recognition (NER) token-classification model hosted on Hugging Face by compiledcode83. It is designed to identify and label entity spans (such as persons, organizations, or locations) within input text. | Google frontier multimodal model. |