GPT-6.1 Terra
GPT-6.1 Terra combines visual reasoning, screen interaction and writing. Unlike Astra and Sol, it offers a none reasoning setting, which makes the effort control relevant even for simple tasks.
Cache retention affects the write price
The published Standard cache-write rate is $1.25 per million tokens for 30 minutes of retention and $2.50 for 12 hours, before long-context adjustments. A cache read and a cache write are different billable operations.GPT-6.1 Terra model reference
Seeing an image does not mean generating one
Terra’s direct image support is input-only. It has no direct audio or video modality. A workflow that needs an image result must use a separate generation tool or model.GPT-6.1 Terra model reference
Ask for evidence in the image
Practical guidance. For a product-photo matching task, request the candidate item, visible distinguishing features and any ambiguity. Use a separate outcome for insufficient evidence. This makes an incorrect match easier to spot than a confident answer with no visual explanation.
Specifications & access
| Detail | Value and conditions |
|---|---|
| Access | API |
| Model identifiers | gpt-6.1-terra |
| Context window | 1,050,000 tokens API context limit GPT-6.1 Terra model reference |
| Maximum output | 128,000 tokens Maximum output GPT-6.1 Terra model reference |
| Input price | 1 USD per million tokens Standard text input; up to 272,000 input tokens GPT-6.1 Terra model reference |
| Output price | 5 USD per million tokens Standard text output; up to 272,000 input tokens GPT-6.1 Terra model reference |
| Input and output | Text and images in; text outGPT-6.1 Terra model reference |
| Tool calls | Use the Responses API.GPT-6.1 Terra model reference |
| Reasoning controls | none, low, medium, high, xhigh and max; medium is the default.GPT-6.1 Terra model reference |
| Maximum input | 922,000 tokens within the total context window.GPT-6.1 Terra model reference |
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