OpenAI GPT-6.1 Terra

LLM
OpenAI
New

OpenAI GPT-6.1 Terra is designed for visual reasoning, precise computer use, and clear, natural writing. It supports text and image inputs with a 1,050,000-token context window and up to 128,000 tokens of output.

Context tokens

1,050,000

Output tokens

128,000

Training cutoff

Jun 1, 2026

Schema

Supports a non-thinking (none) reasoning mode in addition to the standard low-through-max reasoning effort levels.

Schema documentation

Capabilities

Tool use
Structured output
Thinking
OpenAI API
Multimodal
Image gen (tool)

Supported input media

image
text

Supported tools

  • Image Generation

    The image generation tool allows you to generate images using a text prompt, and optionally image inputs. It leverages the GPT Image model, and automatically optimizes text inputs for improved performance.

    Costs ~558.60 credits per image.

  • MCP

    You can give models new capabilities using connectors and remote MCP servers. These tools give the model the ability to connect to and control external services when needed to respond to a user's prompt. These tool calls can either be allowed automatically, or restricted with explicit approval required by you as the developer.

  • Seclai Content Tools

    Inspect source documents connected to your account. Includes tools for loading full content, reading character ranges, searching within documents, viewing stats, and listing available content sources. When a source_connection_content_version_id is provided in agent run metadata it is used as the default. Otherwise the model can discover content via list_content_sources.

  • Seclai Knowledge Base

    Search your knowledge bases using semantic similarity. Includes search_knowledge_base and list_knowledge_bases. When a knowledge_base_id is provided in the prompt or agent run metadata it is used as the default. Otherwise the model can discover available knowledge bases at runtime.

  • Seclai Memory Banks

    Manage persistent memory across agent runs. Includes tools for listing memory banks, writing entries, searching memory via semantic similarity, and loading entries in chronological order. Supports two memory types: 'conversation' (speaker-attributed turns) and 'general' (freeform text). Use key to organize entries by topic, session, or user.

  • Seclai Web Tools

    Fetch web pages and search the web from within agent prompt calls. Includes seclai_web_fetch for retrieving page content in markdown, HTML, or plain text, and seclai_web_search for finding relevant pages with content snippets.

  • Web Search

    Web search allows models to access up-to-date information from the internet and provide answers with sourced citations. To enable this, use the web search tool in the Responses API or, in some cases, Chat Completions.

Variants

Tier

Priority and flex tiers trade speed for cost.

OptionDescriptionContext ≤272K (per 1k tokens)Context >272K (per 1k tokens)
InputOutputCache write (30m)Cache hitInputOutputCache hit
Standard—13.3066.5016.6250.66526.6099.751.33
FastFast mode delivers lower and more consistent latency than Standard, at a higher price.26.60133.0033.251.3353.20199.502.66

Try This Model

Write a prompt and experiment with OpenAI GPT-6.1 Terra in the model experiments page. You can compare it with other models side by side.