GPT-5.6 Terra API Pricing & Cost Calculator
Terra is the GPT-5.6 default for production. Stronger reasoning than Gemini 3.6 Flash at a higher list price, and the 90% cache discount keeps long-context loops surprisingly cheap.
GPT-5.6 Terra is the workhorse tier of OpenAI's 5.6 lineup, sitting between GPT-5.6 Sol (flagship) and GPT-5.6 Luna (ultra-cheap) for high-volume production workloads.
By TechCompare · Updated
Calculator
Cost Comparison
Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.Prices are fetched live from OpenRouter and may include temporary promotional discounts not accounted for in our article and comparison figures.
How this is calculated
GPT-5.6 Terra is priced at $2.00 per million input tokens and $12.00 per million output tokens at OpenAI's published list price, with a 90% prompt caching discount ($0.20 per million). That puts it 2x below GPT-5.6 Sol on input and 10x above GPT-5.6 Luna on input. OpenAI's standard 50% batch discount applies via the Batch API ($1.00 per million inputs, $6.00 per million outputs). Note: OpenRouter currently runs a limited-time 50% discount that can show Terra at $1/$6 in live calculators.
Verdict
GPT-5.6 Terra lands at $2/M input and $12/M output, with a 90% cache discount dropping input to $0.20/M and the 50% batch discount (via OpenAI's Batch API) cutting both to $1/M input and $6/M output. The 2x savings against GPT-5.6 Sol on input and the 10x premium over Luna make Terra the natural default for general production traffic where frontier-tier reasoning actually matters. The cache discount is what carries the long-context case: an agentic loop with a stable 100K system prompt budgeted at the cached input rate is small enough that you keep Terra on for the loop instead of cascading down to a cheaper model.
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Frequently asked questions
Why pick GPT-5.6 Terra over GPT-5.6 Luna?
How much does GPT-5.6 Terra cost per million output tokens?
Why pick GPT-5.6 Terra over GPT-5.6 Sol?
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