GPT-5.6 Terra Pro

by OpenAIopenai/gpt-5.6-terra-pro

  • Text
  • No route yet
  • Released
  • Knowledge cutoff 16 February 2026

LLMCompare cannot run GPT-5.6 Terra Pro yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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GPT-5.6 Terra Pro at a glance

Context length
1,050,000 tokens
Maximum output
128,000 tokens
Accepts
Text, Image, File
Returns
Text
Features
ReasoningJSON outputTool callingPrompt cachingImage input
Reasoning effort levels
maxxhighhighmediumlownoneReasoning can be turned off.
Released
9 Jul 2026
Knowledge cutoff
16 February 2026

Model facts synced from the OpenRouter model list on 21 Oct 2026.

GPT-5.6 Terra Pro pricing by route

A route is the service LLMCompare calls to reach the model. GPT-5.6 Terra Pro has 1 route. Prices are in US dollars.

Prices of GPT-5.6 Terra Pro on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensCache writeper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$2.00$12.00$0.20$2.50openrouter.ai/openai/gpt-5.6-terra-pro

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to GPT-5.6 Terra Pro costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Billed in addition to the output tokens.

Cost per call
$0.008
10 credits
Cost of 100 calls
$0.80
1,000 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of GPT-5.6 Terra Pro
ParameterTypeRange or optionsDefault
max_tokensInteger1 to 128,000Provider default
reasoning_effortOne ofmaxxhighhighmediumlownonemedium
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About GPT-5.6 Terra Pro

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. **Cost note:** pro mode spends far more...

Description as published for this model. LLMCompare has not edited it.

Models to compare with GPT-5.6 Terra Pro

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with GPT-5.6 Terra Pro
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
GPT-5.6 TerraOpenAIopenai/gpt-5.6-terra1.05M128k$2.00$12.00ReasoningJSONToolsCacheVisionRunnable now
GPT AudioOpenAIopenai/gpt-audio128k16.4k$2.50$10.00JSONToolsNo route yet
GPT-4o (2024-11-20)OpenAIopenai/gpt-4o-2024-11-20128k16.4k$2.50$10.00JSONToolsCacheVisionNo route yet
Gemini 3.1 Pro Preview Custom ToolsGooglegoogle/gemini-3.1-pro-preview-customtools1.05M65.5k$2.00$12.00ReasoningJSONToolsCacheVisionNo route yet
Gemini 3.1 Pro PreviewGooglegoogle/gemini-3.1-pro-preview1.05M65.5k$2.00$12.00ReasoningJSONToolsCacheVisionNo route yet
Nova Premier 1.0Amazonamazon/nova-premier-v11M32k$2.50$12.50ToolsCacheVisionNo route yet

Questions about GPT-5.6 Terra Pro

How much does GPT-5.6 Terra Pro cost?
On the OpenRouter route, GPT-5.6 Terra Pro costs $2.00 per 1 million input tokens and $12.00 per 1 million output tokens, in US dollars. Input tokens that GPT-5.6 Terra Pro reads from the prompt cache cost $0.20 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of GPT-5.6 Terra Pro?
GPT-5.6 Terra Pro has a context length of 1,050,000 tokens and returns up to 128,000 output tokens in one call.
What inputs does GPT-5.6 Terra Pro accept?
GPT-5.6 Terra Pro accepts these inputs: Text, Image, File. GPT-5.6 Terra Pro returns: Text.
Which reasoning effort levels does GPT-5.6 Terra Pro support?
GPT-5.6 Terra Pro supports these reasoning effort levels: max, xhigh, high, medium, low, none. Reasoning can be turned off for GPT-5.6 Terra Pro.
Can I test GPT-5.6 Terra Pro on my own data?
Not yet. LLMCompare lists the prices and parameters of GPT-5.6 Terra Pro, but no route to GPT-5.6 Terra Pro is configured on LLMCompare, so it cannot be selected for an evaluation.