GPT-6.1 Terra Text generation API

openai / gpt-6.1-terra

An OpenAI model for visual reasoning, precise application workflows, clear writing, and focused code changes.

Use openai/gpt-6.1-terra through the sjolt LLM API.

Model IDopenai/gpt-6.1-terra
Input
TextImage
Output
Text
Pricing

Token rates

Input
$0.4 / 1M tokens
Cache read
$0.02 / 1M tokens
Cache write
$0.5 / 1M tokens
Output
$2 / 1M tokens
GPT-6.1 Terraopenai/gpt-6.1-terra

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Model overview

GPT-6.1 Terra for visual reasoning and clear writing

Compare images, understand application screens, and turn source material into clear writing. The artwork illustrates these workflows; it is not image output from GPT-6.1 Terra.

GPT-6.1 Terra text generation model cover
01 · Text generation

Make precise changes to interfaces and code

Provide a screenshot, the relevant code, and the intended behavior. Ask for a scoped change, explain the visual evidence, and verify the result against your requirements.

  • Send one required user prompt with optional system instructions.
  • Review the exact non-streaming API request before running it.
  • Inspect assistant text, finish reason, response ID, and token usage together.
GPT-6.1 Terra long-context text generation model cover
02 · Input and output

Write clearly from a large working context

Bring up to 1,050,000 context tokens to compare source documents and draft or revise text. Specify the audience, tone, and structure, and keep conclusions grounded in the supplied material.

Input
TextImage
Output
Text
GPT-6.1 Terra: Compare products, diagrams, and screens
03 · API integration

Compare products, diagrams, and screens

Include product photos, technical drawings, or application screenshots with a concrete comparison task. Ask for observable differences and a precise next step. Use Responses when connecting your own application tools.

  • Compare enabled language models in one place.
  • Copy the request preview to keep application requests aligned with the Playground.
  • Handle assistant responses and provider availability states in the same workflow.

Model characteristics

Better for creative validation than isolated one-off generation.

01

Workflow focus

Visual reasoning, application tool workflows, scoped code changes, and natural writing.

02

Context window

Up to 1,050,000 context tokens.

03

Maximum output

The model supports up to 128,000 output tokens, including reasoning.

04

Reasoning control

Select none, low, medium, high, xhigh, max; medium is the default. Choose none to disable reasoning.

FAQ

These are the first questions to answer when evaluating this model.

What is GPT-6.1 Terra suited to?

Use it to compare product images, interpret diagrams, work with application screenshots, revise text, and make focused code changes. State the task, constraints, and expected response structure.

Can I include images?

Yes. Attach images in the Playground or send native image blocks through Chat Completions or Responses. Responses are text; native image fields are forwarded for upstream validation.

How do I choose a reasoning level?

Select none, low, medium, high, xhigh, max. Choose none to disable reasoning, with medium as the Playground default.

How much context and output can I use?

The model supports 1,050,000 context tokens and up to 128,000 output tokens. Input and generated reasoning share the available context with the final answer.

Which API formats are available?

Use model openai/gpt-6.1-terra through OpenAI-compatible Chat Completions or Responses. Use Responses for application tool workflows. Both protocols accept streaming and non-streaming requests.

How do I continue a Responses conversation?

Include previous response items in the next input. Preserve reasoning.encrypted_content unchanged with the conversation and application tool results.