GPT-5.6 Pricing and Tiers: Sol vs Terra vs Luna
GPT-5.6 comes in three tiers with very different prices, so picking the right one saves real money. This guide breaks down GPT-5.6 pricing for Sol, Terra, and Luna, explains what each tier is best at, and helps you choose the right model instead of paying flagship prices for simple work.
GPT-5.6 pricing at a glance
Prices are per one million tokens:
- Sol: $5 input, $30 output
- Terra: $2.50 input, $15 output
- Luna: $1 input, $6 output
Sol is the premium tier, Terra sits in the middle at about half the cost of the previous generation, and Luna is the budget option for high volume work.
Sol: pay more for the hardest tasks
Sol is the flagship and the most expensive. It is worth its price when the task is genuinely difficult: complex coding, security review, long research, and workflows that need reliable tool use. There is also a Sol Pro option in ChatGPT for the highest quality on tough problems. The mistake to avoid is routing everything through Sol, since you will pay top rates for work a cheaper tier could handle.
Terra: the everyday default
Terra is the sensible default for most professional work. OpenAI positions it as competitive with the older GPT-5.5 while costing roughly half as much. For writing, summarizing, analysis, internal assistants, and routine coding, Terra usually gives you most of the quality at a much better price.
Luna: cheap and fast for volume
Luna is the lightweight tier. At $1 input and $6 output per million tokens, it is built for drafts, simple extraction, classification, and any high volume job where speed and cost beat maximum intelligence.
How to choose the right GPT-5.6 tier
Think of it as routing, not a single choice:
- Start with Luna for simple, high volume tasks.
- Use Terra for everyday professional work.
- Reserve Sol for the hard problems that actually need it.
Matching the tier to the task is where the savings are. Most workloads do not need the flagship for every request.
Keep your options open across models
Cost control does not stop at OpenAI's tiers. Different providers price differently, and for some tasks an open source model like DeepSeek is cheaper still. A multi model app makes it easy to pick not just the right GPT-5.6 tier but the right model overall. Chatgbot lets you switch between the latest GPT, Claude, DeepSeek, and Grok in one place, so you always match the task to the most cost effective option.
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FAQ
How much does GPT-5.6 cost? Per million tokens: Sol is $5 input and $30 output, Terra is $2.50 input and $15 output, and Luna is $1 input and $6 output.
What is the difference between Sol, Terra, and Luna? Sol is the most capable and most expensive, Terra balances quality and cost for everyday work, and Luna is the cheapest and fastest for high volume tasks.
Which GPT-5.6 model should I use? Use Luna for simple high volume work, Terra for everyday professional tasks, and Sol only for genuinely hard problems that need the extra capability.
Is Terra cheaper than the previous GPT model? Yes. OpenAI positions Terra as competitive with GPT-5.5 while costing about half as much.
How can I keep AI costs low across models? Match each task to the cheapest tier or model that can handle it. A multi model app like Chatgbot lets you switch between GPT-5.6 tiers and other models to control cost.