GPT-5.6 Luna pricing, context window and limits
GPT-5.6 Luna costs $0.2 per million input tokens and $1.2 per million output tokens at OpenAI list price. It accepts up to 1,050,000 tokens of context and returns up to 128,000 tokens.
- Model id
gpt-5.6-luna - Snapshot
What does GPT-5.6 Luna cost?
| Input | $0.2 |
|---|---|
| Output | $1.2 |
| Cached input (read) | $0.02 |
| Cache write | $0.25 |
US dollars per million tokens. A dash means no price is published.
How much can GPT-5.6 Luna read and write?
| Context window | 1,050,000 |
|---|---|
| Max input | 922,000 |
| Max output | 128,000 |
What can GPT-5.6 Luna do?
| Vision (image input) | Yes |
|---|---|
| Tool calling | Yes |
| Structured output | Yes |
| Reasoning | Yes |
| Input | text, image, pdf |
| Output | text |
What does a request to GPT-5.6 Luna cost?
| A typical request: 1,000 tokens in, 500 out | $0.0008 |
|---|---|
| A long request: 10,000 tokens in, 1,000 out | $0.0032 |
| 1,000 typical requests | $0.8 |
| 1 million tokens in and 1 million out | $1.4 |
Input read from the provider's prompt cache costs $0.02 per million tokens instead of $0.2, 90% less. A request that repeats a 1,000-token prompt from the cache costs $0.00062 instead of $0.0008.
Among 49 OpenAI models with a published price, GPT-5.6 Luna is the 8th cheapest by input price. Its context window is the largest of 48. List prices only; discounts, batch prices and prices above 200K tokens are not shown.
How do I call GPT-5.6 Luna through DVARA?
Configure the openai provider in the DVARA LLM Gateway and send the model id gpt-5.6-luna. DVARA, the AI governance platform, applies your policies, audit and cost attribution to the call. See LLM cost attribution and budgets.
In DVARA, if you haven't set your own price for a model, its calls are costed at the price in the catalogue that ships with your DVARA version. A price you set in Flightdeck always wins. You can switch catalogue prices off. Then a model with no price you set is counted as costing nothing. Every cost record says which price it used.
What should I check before relying on this data?
The weekly review marked this entry. A person saw each mark and kept the model listed.
- The provider charges more above 200K tokens of input; the table shows the base price.
Which other OpenAI models are there?
- GPT-5.6$4 in · $20 out · 1.05M context
- GPT-5.6 Sol$4 in · $20 out · 1.05M context
- GPT-5.5 Pro$30 in · $180 out · 1.05M context
- GPT-5.6 Terra$2 in · $12 out · 1.05M context
- GPT-5.5$5 in · $30 out · 1.05M context
- GPT-6 Astra$10 in · $50 out · 1.05M context
- GPT-5.4 Pro$30 in · $180 out · 1.05M context
- GPT-6 Luna$0.1 in · $0.5 out · 1.05M context
- GPT-5.4 nano$0.2 in · $1.25 out · 400K context
- GPT-6 Sol$2 in · $10 out · 1.05M context
- GPT-5.4 mini$0.75 in · $4.5 out · 400K context
- GPT-6.1 Sol$2 in · $10 out · 1.05M context
Which models from other providers are similar to GPT-5.6 Luna?
These are the closest in context window and input price, one per provider.
- GPT-5.6 Luna (Global)Amazon Bedrock · $0.2 in · $1.2 out · 1.05M context
- Qwen3.6 FlashAlibaba Qwen · $0.1875 in · $1.125 out · 1M context
- Gemini 3.1 Flash LiteGoogle Gemini · $0.25 in · $1.5 out · 1.05M context
- GLM-5.3-FlashZhipu GLM · $0.15 in · $0.5 out · 1M context
- DeepSeek V4.1 FlashDeepSeek · $0.15 in · $0.6 out · 1M context