openai/gpt-5.6-luna

OpenAI's GPT-5.6 cost-optimized tier, built for fast, high-volume, latency-sensitive workloads.

4 runs

GPT-5.6 Luna

GPT-5.6 Luna is the fastest and most affordable tier of OpenAI’s GPT-5.6 family. It’s built for high-volume, latency-sensitive, or budget-conscious workloads like classification, extraction, routing, and first-pass drafting. Cheapest doesn’t mean weakest — Luna holds its own on plenty of tasks.


The GPT-5.6 family

GPT-5.6 ships as three tiers. The number is the generation; the name is the capability tier, so each tier can advance on its own schedule.

  • Sol — the flagship, for the hardest work.
  • Terra — balanced, for everyday production. GPT-5.5-level quality at roughly half the cost.
  • Luna (this model) — fast and affordable, for high-volume, latency-sensitive work.

Reasoning effort

Control how long the model reasons before answering with the reasoning_effort parameter:

Level Description
none (default) Fast, low-latency responses
low Light reasoning with minimal overhead
medium Balanced reasoning and speed
high Thorough multi-step reasoning
xhigh Maximum reasoning depth for the hardest problems

For higher reasoning efforts, you may need to increase max_completion_tokens to avoid empty responses where all tokens are used on reasoning.


Verbosity

Control output length with the verbosity parameter:

  • low: Concise, to-the-point answers
  • medium (default): Balanced responses
  • high: Detailed, comprehensive explanations

Input and output

  • Input: Text, images
  • Output: Text

Pricing

Per 1M tokens
Input $1.00
Cached input $0.10
Output $6.00

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