GPT-5.6 Luna Pricing
FlagshipOpenAI · 1M tokens context
GPT-5.6 Luna from OpenAI costs $1.00 per 1 million input tokens and $6.00 per 1 million output tokens as of July 2026 (live OpenRouter data). The model supports a 1,050,000-token context window (approximately 787,500 words) with a 128K-token maximum output. A typical 1,000-token request costs $0.0010 in input charges; a 10,000-token request costs $0.0100.
| Input price | $1.00 / 1M tokens |
|---|---|
| Output price | $6.00 / 1M tokens |
| Output / input ratio | 6.0× |
| Context window | 1,050,000 tokens (~787,500 words) |
| Maximum output | 128,000 tokens |
| Cost per 1K tokens (input) | $0.0010 |
| Tier | Flagship |
| Last verified |
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
Input Price
$1.00
per 1 million tokens
Output Price
$6.00
per 1 million tokens
Context Window
1M tokens
max 128K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.00133 | $0.0024 |
| 10-page document (2,500 words) | 3,333 | $0.00333 | $0.006 |
| 1,000 lines of code | 5,000 | $0.005 | $0.009 |
| 100K token document | 100,000 | $0.10 | $0.18 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable at $1.00/1M input tokens
- ✓Massive 1M-token context window
- ✓Frontier-class quality on complex tasks
- ✓Multimodal: understands images as well as text
Limitations
- –Quality and availability can vary by hosting provider
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate GPT-5.6 Luna Costs
Use the TokenRate calculator to convert any budget, token count, or text into exact GPT-5.6 Luna costs — and compare across all models.
Open Calculator →GPT-5.6 Luna — FAQ
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