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Balanced GPT-5.6 tier for everyday production work.
Draft then tightenTwo passes
Explain this codePlus best changes
Document to briefDecisions & questions
Everyday questionFast and solid
About ChatGPT 5.6 Terra — examples and limitations
GPT-5.6 Terra is the balanced tier - 87.4% on Terminal-Bench 2.1 against Sol's 88.8%, 89.6% long-context recall against Sol's 91.5%, at roughly 500-900ms. The one most work should default to.
This page covers ChatGPT 5.6 Terra specifically. To choose among OpenAI versions or start from the general entry point, visit the ChatGPT model hub.
ChatGPT 5.6 Terra at a glance
Provider
OpenAI
Access on AskAI.free
Premium model; the 7-day Pro trial unlocks access.
Best first test
Everyday production work where Sol is overkill
Model position
New model in the OpenAI family.
What makes ChatGPT 5.6 Terra different
Terra is the production default in the GPT-5.6 trio: much of Sol's capability without Sol's longest wait. It is the safer choice than Luna for long documents because its context recall stays strong. Move up to Sol only when the final few points of reasoning quality matter.
What ChatGPT 5.6 Terra is best for
Everyday production work where Sol is overkill
Interactive assistants and chat that must stay coherent turn to turn
Document analysis - 89.6% MRCR recall, within two points of the flagship
Anything you will run repeatedly, where latency and cost compound
How to use ChatGPT 5.6 Terra
Step 1
Make Terra your default and escalate deliberately. On most tasks you give up one to three benchmark points against Sol, which rarely justifies the extra wait.
Step 2
Paste whole documents rather than summarising them first - 89.6% recall means Terra handles long inputs properly, and that is the main thing it does that Luna cannot.
Step 3
Be explicit about format, length and tone. Terra follows stated instructions closely instead of padding answers out.
Example prompts
Unlimited ChatGPT 5.6 Terra, free for 7 days
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Terra is the middle model of the GPT-5.6 family. On most published benchmarks it lands one to three points behind Sol - 87.4% vs 88.8% on Terminal-Bench 2.1, 77.4 vs 80 on the Artificial Analysis Coding Agent Index.
When is Terra enough, and when do I need Sol?
Terra is enough for most work - the gaps are small. Escalate to Sol when a mistake is genuinely costly, on the longest documents, or on multi-step agentic runs where Sol's lead widens (53.6 vs 50.4 on Agents' Last Exam).
Terra or Luna for long documents?
Terra, clearly. It holds 89.6% long-context recall where Luna drops to 41.3%. If your input is long, Terra is the cheapest tier worth trusting.
Is Terra fast enough for interactive use?
Yes - it targets roughly 500-900ms, which is comfortable for conversational assistants. Luna is the one to pick if you need sub-400ms.
Do I need a paid plan?
Yes - Terra is a premium model and needs a Pro plan. Start the 7-day free trial to use it, cancel any time before day eight.
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