Model overview
Low costReasoningVisionToolsGPT-5.6 Luna is optimized for cost-sensitive, high-volume workloads. It supports text and image input, text output, reasoning, tool use, streaming, structured outputs, and both Responses and Chat Completions APIs.
Company: OpenAIProvider: OpenAI
Model capabilities
Input modalityT
Output modalityT
Model experience✓
Function calling✓
Structured output✓
Web search✓
Prefix completion-
Context cache✓
Batch inference✓
Fine-tuning×
Model pricing
Input$1/1M tokens
Input (cache hit)$0.10/1M tokens
Output$6/1M tokens
Input (over 272K context)$2/1M tokens
Output (over 272K context)$9/1M tokens
Tool call pricing
Web search Responses API$10/1K calls + model token charges
File search Responses APIUsage based
Rate limits and context
Maximum input length1.05M
Context length1.05M
Maximum output length128K
Knowledge cutoff2026-02-16
Supported endpointsResponses / Chat Completions / Batch
API reference
EndpointPOST /v1/chat/completions or POST /v1/responses
SDKOpenAI-compatible
API code examples
from openai import OpenAI client = OpenAI( api_key="$WLROUTER_API_KEY", base_url="https://api.wlrouter.com/v1" ) response = client.chat.completions.create( model="gpt-5.6-luna", messages=[ {"role": "user", "content": "Reply with one short sentence."} ], max_tokens=32 ) print(response.choices[0].message.content)