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GPT-5.6 Terra pricing and token costs

GPT-5.6 Terra is a OpenAI model with a 1,050,000-token context window. Rates below are per million tokens, and are the ones in effect today.

In practice

Terra sits in the middle of the GPT-5.6 line at $2 per million input, carrying the identical 1,050,000-token window and the same 272,000-token pricing tier as Sol and Luna. The comparison that matters is against Sol: same window, same tier behaviour, two and a half times cheaper on input. Its six-to-one output ratio is unchanged from the rest of the line, so the same reasoning applies — this is the option when you want the 5.6 line's context without Sol's rate.

Pricing

Input, per 1M tokens
$2.00
Output, per 1M tokens
$12.00
Context window
1,050,000 tokens

Input and output combined.

Tokenizer
o200k_base

Counted exactly, in your browser.

Long-context tier. Above 272,000 input tokens, the whole request bills at $4.00 input and $18.00 output per million — not only the tokens above the threshold. Ignoring this understates a large paste by the full multiplier.

Pricing data last verified: .

Provider pricing can change. Check current rates with OpenAI, Anthropic, and Google before making billing decisions.

Alternatives

Head to head

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Common questions

How much does GPT-5.6 Terra cost per million tokens?
$2.00 per million input tokens and $12.00 per million output tokens.
What is the context window of GPT-5.6 Terra?
1,050,000 tokens, covering input and output combined.
Which tokenizer does GPT-5.6 Terra use?
GPT-5.6 Terra uses the o200k_base encoding. Counts are computed in your browser with the same tokenizer OpenAI publishes, so they are exact.
Does GPT-5.6 Terra charge more for long prompts?
Yes. Above 272,000 input tokens the entire request bills at $4.00 per million input and $18.00 per million output — not just the tokens above the threshold.

Figures come from OpenAI’s published list prices and are checked against every article on this site that quotes them at build time. They are still estimates of what a request costs — verify against your own billing before committing to them. See the methodology page for how these numbers are actually calculated.