GPT-6 Luna API Model Configuration

One-sentence takeaway

The model page confirms the API model ID gpt-6-luna and lists its reasoning efforts, endpoints, input modalities, and Responses API tool support.

Use cases

• Suitable tasks: Integrating GPT-6 Luna with the OpenAI API and checking its capabilities and parameter support.

• Not suitable for: Inferring the model's quality or latency on a specific business dataset from this information alone.

• Applicable model version: gpt-6-luna.

• Applicable clients, agents, or APIs: OpenAI API. Prefer the Responses API when using built-in tools or function calling.

• Recommended reasoning effort and parameters: reasoning.effort supports none, low, medium (default), high, xhigh, and max. The page does not specify a generally best effort level.

Ready-to-use content

Model ID and reasoning configuration

{
  "model": "gpt-6-luna",
  "reasoning": {
    "effort": "medium"
  }
}

Place this object in a Responses API request and add fields such as input for your application. medium is the default effort listed on the model page; this JSON is a configuration example, not a complete request body.

Capabilities and limitations

• Input: text and images; output: text.

• API endpoints listed on the page: Chat Completions, Responses, and Batch.

• Responses API tools listed on the page: web search, file search, image generation, code interpreter, hosted shell, apply patch, skills, computer use, MCP, and tool search.

• The page lists audio, video, Realtime, Assistants, fine-tuning, and other capabilities as unsupported.

• The page lists a 1,050,000-token context window and a 128,000-token maximum output.

Reproduction notes and evidence limits

• These are capabilities listed on the model catalog page. Actual endpoint and tool availability depends on account access, region, and the current API documentation.

• The model name and reasoning effort in the configuration can be checked directly; this document does not provide a task-quality evaluation of Luna.

• Pricing varies with context length and service mode. Check the model page and Pricing page before use.