Model comparison
Analog Diffusion vs o3
Capability radar, value bars, and side-by-side posture.
Analog Diffusion
Not scored
value score
o3
93
value score
Analog Diffusion ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | Analog Diffusion | o3 |
|---|---|---|
| Developer | wavymulder | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | Analog Diffusion is a DreamBooth fine-tune of Stable Diffusion 1.5 trained on diverse analog photographs to generate images with a vintage film aesthetic. Users invoke the style via the trigger token 'analog style' and can tune negative prompts like 'blur' or 'haze' to control the intensity of the effect. | OpenAI reasoning model focused on hard problems. |