Model comparison
GPT-5.6 Luna vs GPT-4.1
Capability radar, value bars, and side-by-side posture.
GPT-5.6 Luna
Not scored
value score
GPT-4.1
90
value score
GPT-5.6 Luna ctx
—
GPT-4.1 ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-4.190
Attribute tape
| Field | GPT-5.6 Luna | GPT-4.1 |
|---|---|---|
| Developer | OpenAI | OpenAI |
| Context | — | 1.0M |
| Modalities | Text, Code, Image | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $2/1M in · $8/1M out |
| Value score | — | 90 |
| 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). | Long-context GPT for developer workflows. |