GPT-5.6 Luna API pricing
Lowest-cost tier in the GPT-5.6 family — drafts, routing, high-frequency calls. Available at about 50% below official list.
| Route | Input / 1M | Output / 1M |
|---|---|---|
| Official list price | $0.2 | $1.2 |
| Discounted route | $0.1 | $0.6 |
USD, standard tier, verified 2026-09-16.
Specifications
| Vendor | OpenAI |
| Context window | 1.05M |
| Max output | 128K |
| Category | US frontier |
What GPT-5.6 Luna costs at your volume
| Usage level | Input / output per month | Monthly cost |
|---|---|---|
| Light — prototyping, a few thousand calls | 5M / 1M | $1.10 |
| Working — one developer, daily use | 50M / 10M | $11.00 |
| Heavy — team or agent loops in production | 500M / 100M | $110.00 |
Calculated at $0.1 input / $0.6 output per 1M tokens, assuming a 5:1 input-to-output ratio. Your ratio decides the real number — run your own figures through the cost calculator.
When GPT-5.6 Luna is the right call
At $0.1 per million input tokens this sits in the low-cost band. It is a good fit for high-volume work — classification, extraction, summarisation at scale, autocomplete, and any pipeline where you call the model thousands of times a day.
It is usually the wrong call for tasks where a wrong answer is expensive to unwind; at this price the saving is small enough that escalating a hard case to a stronger model is usually worth it.
Similarly priced alternatives
| Similarly priced | Vendor | In / out per 1M | vs this |
|---|---|---|---|
| MiniMax M3 | MiniMax | $0.15 / $0.6 | +$0.05 |
| DeepSeek V4 Flash | DeepSeek | $0.22 / $0.66 | +$0.18 |
| Gemini 3.7 Flash | $0.375 / $1.875 | +$1.55 |
Blended comparison (input + output per 1M). Price is one axis — the models above are not interchangeable, they are the ones worth testing side by side at this budget.
Setting it up
Pointing an existing integration at this model is a base URL change, not a rewrite. Pick your tool:
- Claude Code — set the base URL via environment variables
- Cursor — override the API endpoint in settings
- OpenAI / Anthropic SDK — one
base_urlargument - Python — sync, streaming and async examples
- Cutting the bill — eight levers ranked by effect
FAQ
How much does GPT-5.6 Luna cost per million tokens?
$0.1 per million input tokens and $0.6 per million output tokens. Anthropic/OpenAI list the same model at $0.2 / $1.2
Is GPT-5.6 Luna cheaper than buying direct?
Yes — currently 50% lower on input and 50% lower on output than the published list price. Rates move with upstream promotions, so check the live number before budgeting.
What does GPT-5.6 Luna cost per month in practice?
At a 5:1 input-to-output ratio it is about $1.10 a month for light use (5M input tokens) and roughly $110.00 for heavy use (500M input). Agent workloads sit at the high end because every turn resends the context — see what actually drives Claude Code cost.
Which models cost about the same as GPT-5.6 Luna?
The comparison table further up this page lists the three closest in blended price. If you are choosing on cost alone, start there and test the top two on your own prompts — price per token is only half the equation, the other half is how many tokens a model needs to finish the task.
How do I start using GPT-5.6 Luna?
You need an API key, then point your client at the gateway base URL. It is a one-line change in most SDKs — see the SDK setup guide, or the Claude Code and Cursor guides for those tools.