openai/gpt-5.6-luna
250K context · $0.20 / M input tokens · $1.20 / M output tokens
GPT-5.6 Luna is the lowest-cost GPT-5.6 route for high-volume assistants, classification, extraction, coding support, and latency-sensitive production traffic.
Explore GPT-5.6 models
2026-07-10 07:14:19 UTC
Pricing
Pay-per-use
No upfront costs, pay only for what you use
API Usage
API Access Guide
Code examples
Use the OurToken API endpoint for this model. The examples below use direct HTTP requests and the recommended endpoint for the model family.
curl https://api.ourtoken.ai/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "gpt-5.6-luna",
"input": "Hello!",
"max_output_tokens": 256
}'Responses API Reference
Create a model response with the OpenAI Responses-compatible endpoint. This format supports text input, message arrays, tools, reasoning controls, and multi-turn response continuation.
Authorization
| Content-Type | application/json |
| Authorization | Bearer YOUR_API_KEY |
Request Body
| Field | Type | Required | Description |
|---|---|---|---|
| model | string | Required | Model ID to call. |
| input | string | array<object> | Optional | Input content as a string or a structured message array. |
| instructions | string | Optional | System or developer instructions applied to the response. |
| max_output_tokens | integer | Optional | Maximum number of output tokens the model may generate. |
| temperature | number | Optional | Sampling temperature. |
| top_p | number | Optional | Nucleus sampling parameter. |
| stream | boolean | Optional | Whether to return a streaming response. |
| tools | array<object> | Optional | Tools available to the model. |
| tool_choice | string | object | Optional | Controls how the model selects tools. |
| reasoning | object | Optional | Reasoning configuration for models that support it. |
| previous_response_id | string | Optional | Previous response ID for continuing a conversation. |
| truncation | "auto" | "disabled" | Optional | Controls automatic context truncation. |
Response Body
| Field | Type | Required | Description |
|---|---|---|---|
| id | string | Required | Unique response identifier. |
| object | "response" | Required | Object type returned by the Responses API. |
| created_at | integer | Required | Unix timestamp when the response was created. |
| status | string | Required | Response lifecycle status. |
| model | string | Required | Model that produced the response. |
| output | array<object> | Required | Array of output items returned by the model. |
| output[].content[].text | string | Optional | Text content inside an output message item. |
| usage | object | Optional | Token usage information for the response. |
| usage.prompt_tokens | integer | Optional | Input token count. |
| usage.completion_tokens | integer | Optional | Output token count. |
| usage.total_tokens | integer | Optional | Total token count. |
| usage.prompt_tokens_details | object | Optional | Breakdown of input token usage. |
| usage.prompt_tokens_details.cached_tokens | integer | Optional | Tokens served from cache. |
| usage.prompt_tokens_details.text_tokens | integer | Optional | Text token count. |
| usage.prompt_tokens_details.audio_tokens | integer | Optional | Audio token count. |
| usage.prompt_tokens_details.image_tokens | integer | Optional | Image token count. |
| usage.completion_tokens_details | object | Optional | Breakdown of output token usage. |
| usage.completion_tokens_details.text_tokens | integer | Optional | Text token count. |
| usage.completion_tokens_details.audio_tokens | integer | Optional | Audio token count. |
| usage.completion_tokens_details.reasoning_tokens | integer | Optional | Reasoning token count. |
Model Introduction
OpenAI gpt-5.6-luna
GPT-5.6 Luna is the lowest-cost GPT-5.6 route for high-volume assistants, classification, extraction, coding support, and latency-sensitive production traffic.
GPT 5.6 Luna API gives developers an economical entry point to the GPT-5.6 family for frequent and scalable application requests. OurToken provides gpt-5.6-luna through an OpenAI-compatible API with low input, output, cached input, and cache write prices.
Why It Looks Great
- Lowest gpt 5.6 price in the Sol, Terra, and Luna family.
- Suitable for high-throughput assistants, extraction, classification, summaries, and routine coding support.
- 250K context and up to 128K output despite the lower token price.
- Low cached input pricing for applications with repeated instructions and reusable context.
- OpenAI gpt 5.6 compatible access through a single OurToken API key.
Key Features
- Model ID: gpt-5.6-luna
- Context Window: 250000 tokens
- Max Output: 128000 tokens
- Input: Text and Image
- Output: Text
- Function Calling: Supported
- OurToken Price: $0.20/M input, $0.02/M cached input, $0.25/M cache writes, $1.20/M output
Specifications
GPT 5.6 Luna API Features for High-Volume Workloads
Use GPT 5.6 Luna for affordable assistants, automation, content processing, coding support, and predictable gpt 5.6 price control.
Lowest-Cost GPT-5.6 Route
Luna minimizes token expense for applications that make frequent requests and do not need the flagship Sol route on every task.
High-Throughput Automation
Use GPT 5.6 Luna API for extraction, classification, summaries, routing, content generation, customer support, and routine development assistance.
250K Context Window
Process large documents, application context, and conversation history with the same 250K family context and output up to 128K tokens.
Low API Pricing
OurToken gpt 5.6 price for Luna is $0.20/M input, $0.02/M cached input, $0.25/M cache writes, and $1.20/M output.
Simple Family Switching
Keep one Responses API integration and change the model ID among gpt 5.6 sol terra luna routes as workload requirements change.
Cost-Aware Comparisons
Run gpt 5.6 sol vs luna and gpt 5.6 luna vs gpt 5.5 tests to identify where Luna meets quality targets at lower cost.
How to Use GPT 5.6 Luna API on OurToken
Create an API key, choose gpt-5.6-luna, call the Responses API, use caching, and validate Luna on high-volume workloads.
Create an API Key
Generate an OurToken API key and store it securely in your server environment or secret manager.
01Choose the Luna Model ID
Set model to gpt-5.6-luna to use the lowest-cost GPT 5.6 Luna API route.
02Call the Unified Endpoint
Send input to the OpenAI-compatible Responses API and configure streaming, output limits, tools, or structured responses.
03Reuse Cached Prompts
Use stable prompt prefixes for repeated workflows. Luna cached input costs $0.02/M and cache writes cost $0.25/M.
04Load-Test Real Traffic
Measure latency, throughput, error handling, token consumption, and output quality at expected production volume.
05Escalate Difficult Tasks
Route routine requests to Luna and move harder prompts to Terra or Sol when additional capability is needed.
06GPT 5.6 Luna API FAQ
Answers about GPT 5.6 Luna API access, price, release, Sol vs Luna, Luna vs GPT 5.5, caching, and high-volume use.