GPT-6 Luna Pricing
FastOpenAI · 1M tokens context
GPT-6 Luna from OpenAI costs $0.100 per 1 million input tokens and $0.500 per 1 million output tokens as of September 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 $0.0001 in input charges; a 10,000-token request costs $0.0010.
| Input price | $0.100 / 1M tokens |
|---|---|
| Output price | $0.500 / 1M tokens |
| Output / input ratio | 5.0× |
| Context window | 1,050,000 tokens (~787,500 words) |
| Maximum output | 128,000 tokens |
| Cost per 1K tokens (input) | $0.0001 |
| Tier | Fast |
| Last verified |
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
Input Price
$0.100
per 1 million tokens
Output Price
$0.500
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 | $0.000133 | $0.0002 |
| 10-page document (2,500 words) | 3,333 | $0.000333 | $0.0005 |
| 1,000 lines of code | 5,000 | $0.0005 | $0.00075 |
| 100K token document | 100,000 | $0.01 | $0.015 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Extremely cheap at $0.100/1M input tokens
- ✓Massive 1M-token context window
- ✓Low latency for high-throughput workloads
- ✓Multimodal: understands images as well as text
Limitations
- –Less capable than flagship models on complex reasoning
- –Quality and availability can vary by hosting provider
Best Use Cases
Calculate GPT-6 Luna Costs
Use the TokenRate calculator to convert any budget, token count, or text into exact GPT-6 Luna costs — and compare across all models.
Open Calculator →GPT-6 Luna — FAQ
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