OpenAI has begun a limited preview of GPT-5.6, its next-generation model series. The lineup splits into three named tiers: Sol, Terra, and Luna. Sol is the flagship. Terra targets everyday production work. Luna is the fast, low-cost option.
OpenAI is starting with a small group of trusted partners through the API and Codex. According to OpenAI post, they shared the models and plans with the U.S. government first. Broader access in ChatGPT, Codex, and the API is planned in the coming weeks.
The change is mostly structural. GPT-5.6 introduces tiered models, two new reasoning modes, and a heavier safety stack.
What is GPT-5.6?
GPT-5.6 is a family, not a single model. OpenAI also changed how it names releases. The number now marks the generation. The names mark durable capability tiers.
Each tier can advance on its own schedule. That gives developers a clearer choice across intelligence, speed, and cost.
OpenAI calls Sol its strongest model yet. It cites gains in coding, biology, and cybersecurity. Terra matches GPT-5.5 performance while costing roughly half as much. Luna brings strong capability at OpenAI’s lowest price.
New Reasoning Modes: max and ultra
GPT-5.6 adds two reasoning controls. The first is a new max reasoning effort. It gives Sol the most time to reason deeply.
The second is ultra mode. Instead of one model working alone, ultra leverages subagents. These subagents split complex work to accelerate it.
Think of it this way. The max setting deepens a single chain of reasoning. The ultra mode coordinates several workers on one task. Both trade latency and cost for accuracy on long-horizon problems.
Interactive Explainer
GPT-5.6 Family Explorer
Compare Sol, Terra, and Luna. Estimate cost, scan benchmarks, and see the new reasoning modes. Illustrative tool using OpenAI’s published preview pricing and figures.
Tiers
Cost Calculator
Benchmarks
Reasoning Modes
Sol flagship
Strongest tier. Built for long-horizon coding, security, and agentic work.
$5/ 1M input $30/ 1M output
Terra balanced
Matches GPT-5.5 performance at roughly half the price. For everyday production.
$2.50/ 1M input $15/ 1M output
Luna fast
Lowest cost. For routine, high-volume, latency-sensitive tasks.
$1/ 1M input $6/ 1M output
Naming: the number marks the generation; Sol, Terra, and Luna mark durable capability tiers that advance on their own cadence.
Assume 50% of input is cached (90% read discount)
Estimated monthly cost
Sol
$0
Terra
$0
Luna
$0
Estimate only. Excludes reasoning-token overhead from max/ultra, taxes, and rate tiers. Cache writes bill at 1.25x input.
Terminal-Bench 2.1 tests command-line workflows needing planning, iteration, and tool coordination. Scores per VentureBeat’s reading of OpenAI’s charts; ultra uses subagents, max is single-agent deep reasoning.
max
A new reasoning effort that gives Sol the most time to reason deeply. One model, one longer chain of thought.
in
→
think
→
think
→
out
ultra
Goes beyond a single agent. It leverages subagents that split complex work and run it in parallel.
task
→
sub 1
sub 2
sub 3
→
merge
Both modes trade latency and cost for accuracy on long-horizon problems. Available in the GPT-5.6 preview.
Preview access: ~20 partners via API & Codex. Broader release planned soon.
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