OpenAI

GPT 5.6 Terra

LLM

GPT-5.6 Terra is a powerful language model optimized for dependable reasoning, structured analysis, coding support, professional writing, and multilingual knowledge tasks.

gpt-5.6-terra

PROVIDERSOpenAIENDPOINTSopenaiCAPABILITIEStext

PRICINGDynamic Pricing

Prices vary by usage tier, request parameters or context conditions.

Tier	Input / 1M	Output / 1M	Cache Read / 1M	Cache Write / 1M
`short_context`	$1.6	$9.6	$0.16	$2
`long_context` Context > 272,000 tokens	$3.2	$14.4	$0.32	$4

Parameter	Type	Default	Range / values	Description
`temperature`	`number`	`1`	0 ~ 2	Sampling temperature; lower is more deterministic.
`top_p`	`number`	`1`	0 ~ 1	Nucleus sampling probability mass.
`max_tokens`	`integer`	—	≥ 1	Maximum number of tokens in the response.
`frequency_penalty`	`number`	`0`	-2 ~ 2	Penalises repetition of frequent tokens.
`presence_penalty`	`number`	`0`	-2 ~ 2	Encourages introducing new topics.
`stop`	`array`	—	Up to 4 strings	Strings that stop generation.
`seed`	`integer`	—	—	Deterministic sampling seed (best-effort).
`n`	`integer`	`1`	≥ 1	Number of completions to generate.
`stream`	`boolean`	`false`	—	Stream tokens via Server-Sent Events.
`response_format`	`object`	—	—	Force JSON object or schema-conforming output.
`tools`	`array`	—	—	Tool or function declarations the model may call.
`tool_choice`	`string`	—	auto \| none \| required	Tool-choice policy or specific tool name.
`logprobs`	`boolean`	`false`	—	Return per-token log probabilities.
`top_logprobs`	`integer`	—	0 ~ 20	Number of top log probabilities returned per token.
`logit_bias`	`object`	—	—	Per-token logit bias map.
`user`	`string`	—	—	End-user identifier for abuse monitoring.