GPT-5.6 Luna pricing and specs
GPT-5.6 Luna pricing and specsCost-efficient GPT-5.6 model for fast, high-volume workloads
GPT-5.6 Luna price per 1M tokens
| Type | ₽ / 1M | $ / 1M |
|---|---|---|
| Input tokens | 16,9 ₽ | $0.2 |
| Output tokens | 101 ₽ | $1.2 |
| Cache read | 1,69 ₽ | $0.02 |
| Cache write | 21,13 ₽ | $0.25 |
Prices in rubles as of 18.09.2026 at the CBR rate: 1 $ = 84.51 ₽.
GPT-5.6 Luna specs and limits
- Context window
- 1.1M
- Max output
- 128K
- Max input
- 922K
- Input
- text, image, pdf
- Output
- text
- Family
- gpt-luna
- Released
- 2026-07-09
- Updated
- 2026-07-09
- Knowledge cutoff
- 2026-02-16
- Also known as
- chatgpt luna, chat gpt luna, openai luna, gpt luna, gpt-5 luna, o3 luna
What GPT-5.6 Luna can do
- ✓Reasoning
- ✓Tool calling
- ✓Structured output
- ✓Attachments / files
- ✓Vision (images)
- —Temperature control
- —Open weights
GPT-5.6 Luna benchmarks
| Benchmark | Score | Metric |
|---|---|---|
| SWE-Bench Pro | 62.7 | resolve rate |
| Terminal-Bench | 84.7 | success rate |
| DeepSWE | 67.2 | resolve rate |
| GPQA Diamond | 92.3 | accuracy |
| FrontierMath | 78.6 | accuracy |
| BrowseComp | 83.3 | accuracy |
| OSWorld | 45.6 | success rate |
| MMMU Pro | 78.4 | accuracy |
| Agents' Last Exam | 50.3 | — |
| Toolathlon | 53.4 | success rate |
| Artificial Analysis Intelligence Index | 51.2 | index score |
| Artificial Analysis Coding Agent Index | 74.6 | index score |
Frequently asked questions
How much does the GPT-5.6 Luna API cost?
Input costs $0.2 per 1M tokens (16.9 ₽) and output costs $1.2 per 1M (101 ₽). OpenAI bills the prompt and the completion separately, so the price of a call depends on how long both are. Ruble figures use the Bank of Russia rate of 84.51 ₽ per dollar for September 2026.
How much do 1,000 GPT-5.6 Luna tokens cost?
List prices are quoted per 1M tokens, so 1,000 tokens cost a thousandth of that: divide $0.2 for input and $1.2 for output by 1,000. The same rates in rubles are 16.9 ₽ and 101 ₽ per 1M tokens. Both prompt tokens and completion tokens are billed.
How many tokens does GPT-5.6 Luna hold?
The GPT-5.6 Luna context window is 1.1M tokens (1,050,000). Everything shares that budget: the system prompt, the dialogue history, attached files and the answer the model writes. The figure comes from the OpenAI model card as of September 2026.
What are the GPT-5.6 Luna limits?
The context window is 1.1M tokens (1,050,000) and a single response is capped at 128K tokens, so longer output has to be generated in parts. Rate limits are set by OpenAI per account and depend on your plan rather than on the model, so they are not listed here.
How is the GPT-5.6 Luna price in rubles calculated?
Providers quote their tariffs in US dollars, so the ruble amounts here are a conversion at the official Bank of Russia rate of 84.51 ₽ per dollar. For GPT-5.6 Luna that gives 16.9 ₽ per 1M input tokens and 101 ₽ per 1M output tokens. When the rate moves, the ruble price moves with it.
How is GPT-5.6 Luna different from other ChatGPT models?
GPT-5.6 Luna belongs to the GPT Luna family at OpenAI. Models in the ChatGPT line differ in context size, price per 1M tokens and supported capabilities, so compare them by the numbers on their cards rather than by the name. Every ChatGPT model is listed on the provider page.
Can GPT-5.6 Luna reason?
Yes, GPT-5.6 Luna declares a reasoning mode: it works through intermediate steps before it answers. Those steps add output tokens, so a call with a long reasoning chain costs more and takes longer than a plain completion. Capabilities declared for the model: reasoning, tool calling, image input, structured output.
What capabilities does GPT-5.6 Luna support?
The declared capabilities of GPT-5.6 Luna are: reasoning, tool calling, image input, structured output. It accepts text, images, PDF as input, and every attachment consumes tokens from the shared context window of 1.1M tokens. The list comes from the OpenAI model card and is refreshed with the catalog as of September 2026.