Model comparison
basil_mix vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
basil_mix
Not scored
value score
Gemini 2.5 Pro
93
value score
basil_mix 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 | basil_mix | Gemini 2.5 Pro |
|---|---|---|
| Developer | nuigurumi | 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 | basil_mix is a Stable Diffusion merged checkpoint by the creator nuigurumi, designed for photorealistic portrait generation with Asian facial features and optimized for danbooru-style tag prompting. It is released under a custom non-profit-only license. | Google frontier multimodal model. |