OpenAI

Preview

GPT-5.6 Terra pricing

The mid tier of OpenAI's June 2026 GPT-5.6 family, tuned for high-volume business tasks: customer support, internal tools, and document analysis.

Input

$2.50/ 1M tok

Output

$15.00/ 1M tok

Context window
1.5M
Max output
128K
Cached input
$0.2500 / 1M
Verified
2026-07-01

GPT-5.6 family

TierInput / 1MOutput / 1MCached in / 1M
Sol
Hardest problems: complex coding, security research
$5.00$30.00$0.5000
Terra (this page)
High-volume business tasks
$2.50$15.00$0.2500
Luna
Fast everyday work
$1.00$6.00$0.1000

Terra is the mid tier - half the price of Sol. GPT-5.6 launched in limited preview on 26 June 2026 (~20 organisations).

GPT-5.6 Terra is the middle tier of OpenAI's three-model GPT-5.6 family, released 26 June 2026. It targets high-volume business workloads – customer support, internal tools, and document analysis – at $2.50 per 1M input tokens and $15 per 1M output tokens, half the Sol rate.

For most production traffic that does not need Sol-level reasoning, Terra is the natural default: it shares the same ~1.5M-token context window and the same improved prompt caching (cache reads at the 90% discount, so $0.25 / 1M cached; cache writes at 1.25x uncached input, with explicit breakpoints and a 30-minute minimum cache life).

Route the hardest requests up to Sol and the cheapest, latency-tolerant work down to Luna; Terra covers the broad middle where cost and capability both matter. As of launch the models are limited to a small preview cohort.

Estimate LLM costs before you send

Paste your prompt into the Calcis estimator to see token counts and per-request cost across every tracked model, then compare GPT-5.6 Terra against them side by side.

Frequently asked

How much does GPT-5.6 Terra cost per 1M tokens?
$2.50 for input and $15 for output per 1M tokens. Cached input reads bill at $0.25 / 1M (a 90% discount).
When should I use Terra instead of Sol or Luna?
Terra is tuned for high-volume business tasks like support, internal tools, and document analysis. Use Sol ($5/$30) for the hardest coding and security work, and Luna ($1/$6) for fast everyday tasks.
What is the GPT-5.6 Terra context window?
Reported at approximately 1.5M tokens, the same as the rest of the GPT-5.6 family. OpenAI has not published an official figure at launch.
How does prompt caching work on GPT-5.6 Terra?
Cache reads get the standard 90% discount ($0.25 / 1M input); cache writes bill at 1.25x the uncached input rate, with explicit cache breakpoints and a 30-minute minimum cache life.
Is GPT-5.6 Terra generally available?
Not at launch. It debuted 26 June 2026 for a limited preview cohort of roughly 20 organisations, with wider availability expected in the following weeks.

Pricing verified 2026-07-01 from the provider's rate card. These figures are informational and not yet wired into the Calcis estimator or billing.