Model comparison
k3-sec-8b vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
k3-sec-8b
Not scored
value score
Gemini 2.5 Pro
93
value score
k3-sec-8b 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 | k3-sec-8b | Gemini 2.5 Pro |
|---|---|---|
| Developer | bebrws | 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 | k3-sec-8b is an 8-billion-parameter open-weight language model domain-adapted for cybersecurity tasks, including threat detection, vulnerability analysis, incident-response support, and security automation. It is published on Hugging Face under the bebrws account and is designed for local or on-premises deployment in security workflows. | Google frontier multimodal model. |