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GPT-5.6 Terra

gpt-5.6-terra
Model Type SolTerraLuna

GPT-5.6 Terra is the balanced everyday model of the GPT-5.6 family, striking an excellent balance of capability, speed and cost for day-to-day development and agent workflows. Fully OpenAI-SDK compatible: plug it into Codex, Cursor, Claude Code and similar tools with zero code changes.

ChatStreamingOpenAI compatibleAgentic coding

Live Test · Playground

Try out GPT-5.6 Terra right here (available after login)。

Input

Advanced

This model is served over a ChatGPT-subscription upstream that does not accept temperature / top_p / max_tokens (they are silently ignored). Use reasoning_effort below for thinking depth, and prompt wording for length.

Web search
Memory · multi-turn

Conversation

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About GPT-5.6 Terra

GPT-5.6 Terra is the balanced everyday model of the GPT-5.6 family, striking an excellent balance of capability, speed and cost for day-to-day development and agent workflows. Fully OpenAI-SDK compatible with streaming and reasoning_effort control; plug it into Codex, Cursor or Claude Code by setting model to gpt-5.6-terra. Pay-as-you-go, failed calls never billed.

Use cases

Daily development and code assistance

Completion, refactoring, code explanation and test writing: Terra has the best capability-to-cost ratio for everyday use.

Agent workflows

Multi-turn tool calls and automated flows with both speed and reasoning, without paying the frontier price on every call.

Structured output

OpenAI-compatible JSON / tools shapes, so existing workflows run unchanged.

How to choose

When in doubt pick Terra: it covers most tasks. Step up to Sol for the hardest work, down to Luna for high-volume low-latency traffic; all three switch on the model field alone.

FAQ

How does it differ from Sol and Luna?
Same family, three tiers: Sol is the frontier flagship, Terra the balanced everyday model, Luna the fast and economical one. Capability and unit price step down in that order; the integration is identical.
Does it support reasoning_effort?
Yes. Pass low / medium / high to control thinking depth, billed on output tokens.
How large is the context window?
About 272K tokens for the GPT-5 family; system prompts and other overhead count toward it.
Am I charged for failed calls?
No. Only calls that return successfully are settled on actual usage; upstream errors and timeouts never touch your balance.

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