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CostPerPrompt

GPT-5.6 Luna Pro API Pricing

OpenAI · context window 1.1M · prices updated 2026-08-02

Input per 1M tokens
$0.1
Output per 1M tokens
$0.6
Cached input per 1M
$0.01
90% cheaper than fresh input

What real workloads cost on GPT-5.6 Luna Pro

Workload Per request Per month
1K short requests/day (500 in / 150 out) $0.0001 $4.20
Support chatbot, 500 convs/day (~5K in / 1.4K out per conv) $0.0013 $20.10
Document pipeline, 10K docs/day (3K in / 500 out) $0.0006 $180

Model your exact traffic in the API cost calculator — it preloads GPT-5.6 Luna Pro with caching and batch options.

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Frequently asked questions

How much does the GPT-5.6 Luna Pro API cost?

GPT-5.6 Luna Pro costs $0.1 per million input tokens and $0.6 per million output tokens, with cached input at $0.01 per million (90% cheaper). In practice, a typical short request (500 tokens in, 150 out) costs about $0.0001.

What does 1,000 requests per day cost on GPT-5.6 Luna Pro?

At 500 input + 150 output tokens per request, 1,000 requests/day costs about $4.20 per month. Heavier workloads scale linearly — use our API cost calculator to model your exact traffic.

How can I reduce GPT-5.6 Luna Pro costs?

Three levers, in order of impact: (1) route routine requests to a cheaper tier and keep GPT-5.6 Luna Pro for hard cases; (2) enable prompt caching — cached input is 90% cheaper, which typically halves chatbot bills; (3) use the batch API for non-urgent jobs at a ~50% discount.

Is GPT-5.6 Luna Pro worth the price?

It depends on task difficulty. Flagship models earn their premium on complex reasoning, coding, and high-stakes output; mini/flash tiers handle classification, extraction and routine chat at 10–30× lower cost. Benchmark a sample of your real workload on both before committing.