SOL · TERRA · LUNA — WHICH ONE TO USE

Get The GPT-5.6 Playbook

The companion to the video: the plain-English map to OpenAI's GPT-5.6, released publicly July 8-9, 2026. OpenAI didn't ship one model, it shipped three tiers with a new naming system where the number (5.6) is the generation and the name is a durable capability tier that improves on its own cadence. THE THREE WORLDS (prices per 1M tokens, input/output): SOL, the flagship 'sun' at $5/$30 — best in the world at agentic work (terminals, browsers, long tool-use), new state-of-the-art on the Coding Agent Index (80) and Agents' Last Exam (53 vs the old champ's 40), 92% on web browsing, 88.8% on Terminal-Bench (91.9% in ultra mode). TERRA, the 'earth' default at $2.50/$15 — last-gen flagship performance at half Sol's price, within 2-3 points of Sol on the benchmarks that matter; start here for almost everything. LUNA, the cheap 'moon' at $1/$6 — a workhorse for high-volume simple jobs, but long-document memory falls off a cliff (~41 vs 90+), so never hand it a big doc or whole codebase. THE HONEST CATCH: on SWE-Bench Pro (deep repo-level coding) Claude still leads ~80 to Sol's ~65 — keep Claude in your kit for that. THE DEV UNLOCK: Programmatic Tool Calling lets the model write its own JavaScript in a sealed sandbox and orchestrate every tool call itself, cutting token use 38-63%, plus multi-agent sub-agents. Includes the exact specs (1M-token context, 128K output, Feb 2026 cutoff), how to access each tier (ChatGPT free = Terra, paid = all three + Sol Pro; API + Codex + ChatGPT Work), and the one-screen ROUTING RULE for picking the right model in five seconds.

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