OpenAI: GPT-6 Luna

GPT-6 Luna is an OpenAI model that accepts text, image, and file inputs and returns text. Its context window is 1,050,000 tokens, with up to 128,000 tokens of output per response, so it can take in large document sets or long conversation histories in one request. It supports tool calling and reasoning. The available data does not confirm whether it supports structured output, so test that before relying on it for strict schema work. Pricing is $0.10 per million input tokens and $0.50 per million output tokens. That makes GPT-6 Luna worth shortlisting for high-volume, long-context jobs where cost per call matters, such as processing large files with tool use. Its blended benchmark score of 63.8 rests on a single independent benchmark, the AI Index, where it scored 62.9. One benchmark is thin evidence, so treat its quality standing as provisional and run your own task-specific evaluations.