GPT-6 Luna
OpenAIUpdated October 2026. GPT-6 Luna by OpenAI: $0.1/M cache-miss input, $0.5/M output tokens. Cached input: $0.01/M. Explicit cache writes: $0.125/M. Long-context pricing at or above 272K input tokens: $0.2/M input, $0.75/M output. 1.1M context, 128K max output. Vision & Function Calling. Free calculator + compare 40+ models.
Input Price
$0.1
cache miss / 1M tokens
Cached Input
$0.01
per 1M tokens
Output Price
$0.5
per 1M tokens
Context Window
1.1M
tokens
Specifications
| Provider | OpenAI |
| Model ID | gpt-6-luna |
| Input Price | $0.1 / 1M cache-miss tokens |
| Cached Input Price | $0.01 / 1M tokens |
| Explicit Cache Write Price | $0.125 / 1M tokens |
| Output Price | $0.5 / 1M tokens |
| Long Context Threshold | 272K input tokens |
| Long Context Pricing | $0.2 / 1M cache-miss input, $0.02 / 1M cached input, $0.25 / 1M explicit cache writes, $0.75 / 1M output |
| Context Window | 1.1M tokens |
| Max Output | 128K tokens |
| Capabilities | textvisionfunction_callingstructured_output |
| Release Date | 2026-09-22 |
| Pricing Source | Official OpenAI pricing |
| Price Verified | 2026-10-02 · GPT-6.1 Sol is $2/$10 with $0.10/M cached input (half GPT-6 Sol). GPT-6 Astra also offers Ultrafast at 6x Standard. GPT-5.6 Sol promotional $4/$20 pricing lasts at least through 2026-11-21. |
| Notes | GPT-6 model for focused, repeatable, high-volume work. Prompts above 272K input tokens bill the entire request at long-context rates; Batch and Flex cost 50% of Standard, while Fast mode costs 2x. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split). Input estimates use cache-miss pricing, so cache-heavy workloads can be lower.
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $0.09 | $1.08 |
| 50K | $0.45 | $5.40 |
| 100K | $0.9 | $10.80 |
| 500K | $4.50 | $54.00 |
| 1.0M | $9.00 | $108.00 |
About GPT-6 Luna
GPT-6 Luna is a large language model by OpenAI. It features a 1.1M token context window with up to 128K tokens of output per request. The model supports 4 capabilities: text, vision, function_calling, structured_output.
At $0.1 per million cache-miss input tokens and $0.5 per million output tokens, GPT-6 Luna is positioned as a cost-effective option in the OpenAI lineup. Repeated prefix input can be charged at $0.01 per million cached tokens. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
GPT-6 Luna Key Details
- Pricing: $0.1/M cache-miss input tokens, $0.01/M cached input tokens, $0.125/M explicit cache writes, $0.5/M output tokens
- Context window: 1.1M tokens — one of the largest available
- Max output: 128K tokens per response
- Capabilities: text, vision, function_calling, structured_output
- Highlights: GPT-6 model for focused, repeatable, high-volume work. Prompts above 272K input tokens bill the entire request at long-context rates; Batch and Flex cost 50% of Standard, while Fast mode costs 2x.
- Released: 2026-09-22
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FAQ
How much does GPT-6 Luna cost?
GPT-6 Luna costs $0.1 per million cache-miss input tokens and $0.5 per million output tokens. Cached input costs $0.01 per million tokens. For a typical workload of 100K input tokens/day and 50K output tokens/day, expect approximately $1.05/month before cache-hit savings.
What is GPT-6 Luna's context window?
GPT-6 Luna supports a context window of 1.1M tokens. This means your combined input prompt and output response can be up to 1.1M tokens. The maximum output per response is 128K tokens.
Is GPT-6 Luna good for my use case?
GPT-6 Luna supports text, vision, function_calling, structured_output. As a budget-friendly model, it works well for high-volume tasks like classification, summarization, and simple generation. Use our Pricing Calculator to compare with alternatives.