OpenAI: GPT-5.6 Luna (batch)

GPT-5.6 Luna (batch) is an OpenAI model that accepts text, image, and file inputs and produces text output. Its context window of 1,050,000 tokens is large enough to hold long documents or sizable codebases in a single request, and responses can run up to 128,000 tokens. It supports tool calling and reasoning. The listing does not confirm support for structured output, so teams that depend on strict schema adherence should test it before committing. At $0.10 per million input tokens and $0.60 per million output tokens, this model belongs on the shortlist for cost-sensitive, high-volume work, especially jobs that feed in large amounts of context. Its blended benchmark score of 62.3 comes from a single independent benchmark, so its standing is only partly established. Buyers should run their own evaluations on representative tasks rather than rely on that one figure.