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Models · Jun 26, 2026

OpenAI begins limited preview of GPT-5.6 series with Sol, Terra, and Luna

Terra matches GPT-5.5 performance at half the price; Luna offers lowest-cost option; Sol is flagship. Prompt caching updates include 30-minute minimum cache life and new billing rules.

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TL;DR
  • OpenAI started a limited preview of the GPT‑5.6 series, including flagship Sol, balanced Terra, and low-cost Luna.
  • Terra is positioned as competitive with GPT‑5.5 while costing 2× less; Luna is OpenAI’s lowest-cost model.
  • Pricing is per 1M tokens: Sol at $5/$30, Terra at $2.50/$15, and Luna at $1/$6.
  • GPT‑5.6 adds predictable prompt caching with explicit cache breakpoints and a 30‑minute minimum cache life.
  • Cache writes for GPT‑5.6 and later are billed at 1.25× the uncached input rate; cache reads keep a 90% discount.

OpenAI has begun a limited preview of the GPT‑5.6 series, which includes three models: Sol (flagship), Terra (balanced for everyday work), and Luna (fast and affordable).

Terra is described as having competitive performance to GPT‑5.5 while being 2× cheaper, positioning it as a cost‑effective alternative for general use. Luna is positioned as offering strong capability at OpenAI’s lowest cost, targeting budget‑sensitive deployments.

Pricing for GPT‑5.6 is structured per 1 million tokens for input and output: Sol at $5 input / $30 output, Terra at $2.50 input / $15 output, and Luna at $1 input / $6 output.

GPT‑5.6 introduces more predictable prompt caching, including support for explicit cache breakpoints and a 30‑minute minimum cache life. This change aims to provide developers with clearer control over caching behavior and billing.

For GPT‑5.6 and later models, cache writes are billed at 1.25× the model’s uncached input rate, while cache reads continue to receive the 90% cached‑input discount. These billing adjustments formalize how caching costs are applied moving forward.

Sources
  1. 01Simon Willison — everythingQuoting OpenAI
  2. 02OpenAIPreviewing GPT‑5.6 Sol: a next-generation model
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