GPT-5.6 Terra
by OpenAIopenai/gpt-5.6-terra
GPT-5.6 Terra 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 pricing by route
A route is the service LLMCompare calls to reach the model. GPT-5.6 Terra has 2 routes. Prices are in US dollars.
| Route | On LLMCompare | Inputper 1M tokens | Outputper 1M tokens | Cache readper 1M tokens | Cache writeper 1M tokens | Price verified on | Source |
|---|---|---|---|---|---|---|---|
| OpenAI (direct)Default | Runnable now | $2.00 | $12.00 | $0.20 | $2.50 | openai.com/api/pricing | |
| OpenRouter | Not configured | $2.00 | $12.00 | $0.20 | $2.50 | openrouter.ai/openai/gpt-5.6-terra |
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 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 OpenAI (direct) prices verified on 30 Sep 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
All 2 routes accept the same parameters.
| Parameter | Type | Range or options | Default |
|---|---|---|---|
max_tokens | Integer | 1 to 128,000 | Provider default |
reasoning_effort | One of | maxxhighhighmediumlownone | medium |
seed | Integer | -2,147,483,648 to 4,294,967,295 | Provider default |
response_format | One of | textjson_object | Provider default |
About GPT-5.6 Terra
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...
Description as published for this model. LLMCompare has not edited it.
Models to compare with GPT-5.6 Terra
Text models from the same provider and models at the nearest price. The order is not a ranking.
| Add to comparison | Model | Context | Max output | Input priceper 1M tokens | Output priceper 1M tokens | Features | Released | On LLMCompare |
|---|---|---|---|---|---|---|---|---|
GPT-5.6 Terra ProOpenAIopenai/gpt-5.6-terra-pro | 1.05M | 128k | $2.00 | $12.00 | ReasoningJSONToolsCacheVision | No route yet | ||
GPT AudioOpenAIopenai/gpt-audio | 128k | 16.4k | $2.50 | $10.00 | JSONTools | No route yet | ||
GPT-4o (2024-11-20)OpenAIopenai/gpt-4o-2024-11-20 | 128k | 16.4k | $2.50 | $10.00 | JSONToolsCacheVision | No route yet | ||
Gemini 3.1 Pro Preview Custom ToolsGooglegoogle/gemini-3.1-pro-preview-customtools | 1.05M | 65.5k | $2.00 | $12.00 | ReasoningJSONToolsCacheVision | No route yet | ||
Gemini 3.1 Pro PreviewGooglegoogle/gemini-3.1-pro-preview | 1.05M | 65.5k | $2.00 | $12.00 | ReasoningJSONToolsCacheVision | No route yet | ||
Nova Premier 1.0Amazonamazon/nova-premier-v1 | 1M | 32k | $2.50 | $12.50 | ToolsCacheVision | No route yet |
Questions about GPT-5.6 Terra
- How much does GPT-5.6 Terra cost?
- On the OpenAI (direct) route, GPT-5.6 Terra 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 reads from the prompt cache cost $0.20 per 1 million tokens. LLMCompare verified this price on 30 Sep 2026.
- What is the context length of GPT-5.6 Terra?
- GPT-5.6 Terra 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 accept?
- GPT-5.6 Terra accepts these inputs: Text, Image, File. GPT-5.6 Terra returns: Text.
- Which reasoning effort levels does GPT-5.6 Terra support?
- GPT-5.6 Terra supports these reasoning effort levels: max, xhigh, high, medium, low, none. Reasoning can be turned off for GPT-5.6 Terra.
- Can I test GPT-5.6 Terra on my own data?
- Yes. LLMCompare can run GPT-5.6 Terra now. You add your own test cases, select GPT-5.6 Terra and the models you want to compare it with, and LLMCompare records every output with its cost and response time.