GPT 5.6 release
GPT-5.6 is slated for general (and international) release on July 9. The model family comprises of three sizes: Sol, Terra and Luna. The model card is here. A “select group of trusted partners and organizations” had preview access, including Ethan Mollick, Derya Unutmaz and Peter Gostev.
GPT-5.6 is said to “feel” part of the GPT-5 family while targeted against Anthropic’s Fable 5 as an intermediate response before GPT-6 (pre-)release.
GPT-5.6 Sol improves on hallucinations, where as Terra and Luna fare worse than GPT-5.5.
GPT 5.6 Sol token prices remain the same as GPT-5.5, Luna remains more expensive than GPT-5.4 Mini:
GPT‑5.6 is priced per 1M tokens across three model sizes: Sol is $5 input / $30 output; Terra is $2.50 input / $15 output; and Luna is $1 input / $6 output. GPT‑5.6 also introduces more predictable prompt caching, including support for explicit cache breakpoints and a 30-minute minimum cache life. For GPT‑5.6 and later models, cache writes are billed at 1.25x the model’s uncached input rate, while cache reads continue to receive the 90% cached-input discount.
Prices for actual tasks could still vary, Artificial Analysis don’t have a report on that yet. A post by Peter Gostev suggests that GPT-5.6 might be cheaper:
GPT-5.6 Sol will be available in Codex, but he advises caution on the reasoning levels and the fast option though:
Update 2026-07-09
Availability
Sol available over the next 24 hours on paid plans
“the frontier model in the GPT-5.6 family. It roughly corresponds to the unsuffixed model tier used in earlier GPT-5 families”
Terra available on free plans
“designed for workloads that balance intelligence and cost. It roughly corresponds to the mini model tier used in earlier GPT-5 families.”
Luna also on Free
“Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.”
Also on the API: Model overview page and OpenRouter
not available as of yet on my (EU) account via OpenAI; only accessible via OpenRouter
Pro is the same model as Sol, with - in the API - reasoning.mode set to pro
there is a dedicated model entry on OpenRouter
Performance
Saturates Prinzbench in ChatGPT, a privately withheld niche common law set of hard problems where GPT-5.5 Pro used to excel, Anthropic Fable 5 was behind and Sonnet 4.6 was last.
Chart without GPT-5.6 Sol:
Sol is SoTA (and ahead of Fable) on TerminalBench 2.1, BrowseComp and Agents’ Last Exam
ArtificialAnalysis (blog post) places GPT-5.6 Sol second to Fable 5 (60 vs 59), but notes that it costs only a third (or half, depending whether you look at the total cost to run the benchmark or the “cost per task”)
Token Efficiency: the term used by Peter Gostev may mean that Sol is simply cheaper than its competitors:
Model guidance document is here






