GPT-5.6 Luna API Prices Cut 50%: Input Now $0.50, Output $3.00 per 1M Tokens

What Changed

OpenAI has cut GPT-5.6 Luna's API pricing by -50% across the board. Input tokens drop from $1.00 to $0.50 per 1M tokens, and output tokens fall from $6.00 to $3.00 per 1M tokens. Both changes are effective simultaneously.

Does This Matter for Your Workload?

The short answer: it depends on your output-to-input ratio. Output tokens were already 6× more expensive than input, so output-heavy workloads — think long-form generation, detailed code completions, or verbose summarization — will feel this cut most. A pipeline burning 1M output tokens per day was costing $6.00; it now costs $3.00. That's real money at scale.

For read-heavy or classification tasks where input volume dominates, the savings are proportionally the same but smaller in absolute dollar terms — $0.50 saved per 1M input tokens versus $3.00 saved per 1M output tokens.

How It Stacks Up

Before benchmarking Luna against alternatives, check the current live numbers — pricing in this segment moves fast. See GPT-5.6 Luna — live specs & price history for an up-to-date comparison against competing models tracked on this site.

Bottom Line

This is a straightforward, meaningful price cut — no repackaging, no tier gymnastics. If GPT-5.6 Luna was close but slightly over budget for your use case before, it's worth re-running your cost model today. If you were already using it, your bill just got lighter without any code changes required.

Ezra, Scout AI Team