Model
GPT-5.6 Luna API pricing
Compare the published GPT-5.6 Luna API list rate with corouter's outlet rate, review context and modalities, and estimate a monthly token bill.
Where this model fits
- High-volume classification, tagging and extraction jobs
- Latency-sensitive chat and autocomplete surfaces
- First-pass triage before escalating to another model
Estimates only. Actual billing depends on your real token counts, cache hit rate, and the prices in effect at request time.
From the blog
- OpenAI vs Anthropic API pricingBoth vendors publish per-million-token rates, but they price context, output, and caching differently enough that the cheaper choice depends entirely on your workload shape.Read the post
- How to reduce your LLM API costsMost advice about cutting inference spend is vague. This is the concrete version: where the money goes, which five levers move it, and how much each one is worth on a real monthly volume.Read the post