GPT-5.6 Terra Pro pricing & benchmarks
GPT-5.6 Terra Pro is available from OpenAI at $1.00 per million input tokens and $6.00 per million output tokens ($2.25 blended at 3:1). It accepts up to 1,050,000 tokens of context. GPT-5.6 Terra Pro is the same underlying model as [GPT-5.6 Terra](https://openrouter.ai/openai/gpt-5.6-terra), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://de…
Pricing
Per million tokens · OpenRouter
Input$1.00
Output$6.00
Blended (3:1)$2.25
Specification
openai/gpt-5.6-terra-pro
Context window1.1M
Max output128K
ReleasedJul 2026
LicenceProprietary
Modalitiesin:text, in:image, in:file, out:text
No independently-run benchmark scores are published for GPT-5.6 Terra Pro yet. We show nothing rather than reprinting an unverified figure.
Where to run GPT-5.6 Terra Pro
5 options across 2 providers · 5.5× between cheapest and dearest. Blended at 3:1. ⚠ marks an option serving less context than the best available, or re-pricing above a prompt-length threshold. Bracketed labels are the provider's own service tier or region.
| Host | Blended $/1M | In / Out | Context | Uptime 24h |
|---|---|---|---|---|
| OpenAI (flex) ⚠ re-prices above 272K prompt tokens ($1.00/$4.50) |
$1.13 | $0.500 / $3.00 | 1.1M | 99.9% |
| OpenAI ⚠ re-prices above 272K prompt tokens ($2.00/$9.00) |
$2.25 | $1.00 / $6.00 | 1.1M | 99.9% |
| OpenAI (priority) | $4.50 | $2.00 / $12.00 | 1.1M | 99.9% |
| Azure ⚠ re-prices above 272K prompt tokens ($5.00/$22.50) |
$5.63 | $2.50 / $15.00 | 1.1M | 100.0% |
| Azure (eu) ⚠ re-prices above 272K prompt tokens ($5.50/$24.75) |
$6.19 | $2.75 / $16.50 | 1.1M | — |
Host prices and uptime from OpenRouter, synced 2026-08-08.
Compare GPT-5.6 Terra Pro
FAQ
How much does GPT-5.6 Terra Pro cost?
GPT-5.6 Terra Pro costs $1.00 per million input tokens and $6.00 per million output tokens on OpenRouter. At a 3:1 input:output mix that blends to $2.25 per million tokens.
What is GPT-5.6 Terra Pro's context window?
GPT-5.6 Terra Pro accepts up to 1,050,000 tokens of context, and can generate up to 128,000 output tokens.