Model comparison
GPT-5.6 Luna vs Sora
Capability radar, value bars, and side-by-side posture.
GPT-5.6 Luna
Not scored
value score
Sora
88
value score
GPT-5.6 Luna ctx
—
Sora ctx
—
No radar series.
Value head-to-head
- Sora88
Attribute tape
| Field | GPT-5.6 Luna | Sora |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Context | — | — |
| Modalities | Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | — |
| Value score | — | 88 |
| Summary | GPT-5.6 Luna is OpenAI's smallest, fastest, and most cost-efficient model in the GPT-5.6 family, designed for high-volume, cost-sensitive workloads such as classification, extraction, chat, and lightweight agent workflows. It offers a 1,050,000-token context window and 128,000 max output tokens, positioned as the throughput-optimized tier below Terra (balanced) and Sol (flagship). | OpenAI video generation model. |