Model card
GPT-6 Luna is OpenAI's streamlined entry in the GPT-6 lineup, tuned for speed and lower cost rather than raw reasoning depth. It handles chat, content classification, and simple agentic tasks where you need many calls per second without breaking the budget. With a 1,050,000-token context, it can chew through long documents or multi-turn conversations, though you should expect GPT-6 Sol to outperform it on complex reasoning or coding benchmarks. Integration is straightforward: same OpenAI API surface, so drop-in replacement for most GPT-3.5/4-turbo calls, just point to the new model endpoint. Ideal for high-volume customer support bots, real-time moderation pipelines, or any workload where latency under 100 ms and per-token pricing matter more than state-of-the-art accuracy. If you're building at scale and cost is a bottleneck, Luna gives you a practical trade-off.
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