GPT-6.1 Terra prompt guide
API and integration
11 source-checked resourcesGPT-6.1 Terra: Model Configuration and API Capabilities
Use the API model ID gpt-6.1-terra to call GPT-6.1 Terra. The default reasoning effort is medium, and tool calls must use the Responses API. The model accepts text and image input, generates text, and supports the Responses tools listed on its model page.
GPT-6.1 Terra: Choosing a Model and Reasoning Level for the Task
GPT-6.1 Terra is designed for visual reasoning, precise computer interaction, and clear, natural writing. Start at the medium reasoning level, evaluate representative tasks, and increase the level only when the quality gains justify the added time and tokens.
GPT-6.1 Terra: AWS Bedrock Setup and Tool Calling
To use GPT-6.1 Terra on Bedrock with server-side tool calling, choose bedrock-mantle, which supports that capability. The model card's standard request examples use the Responses API, but it does not show the API request for tool calling.
GPT-6.1 Terra: OpenRouter Routing and API Configuration
The model ID on OpenRouter is openai/gpt-6.1-terra. It can be called through the OpenRouter SDK or an HTTP API compatible with Chat Completions. The provider field in the request body can rank, restrict, or filter candidate providers. By default, routing load-.
GPT-6.1 Terra: Venice-Compatible API and Privacy Tiers
The Venice page shows GPT-6.1 Terra's compatible API base URL, https://api.venice.ai/api/v1, its model ID, openai-gpt-61-terra, and cURL and Python examples for Chat Completions. The page also gives conflicting information about the tool-calling interface; ver.
GPT-6.1 Terra: Visual Tasks and Model Selection in ChatGPT Work
In ChatGPT Work, GPT-6.1 Terra is intended for work that involves interpreting images or screens and taking action in a browser, on a desktop, or in an app. Official examples include matching product photos from a supplier catalog to catalog entries and updati.
GPT-6.1 Terra: OpenAI Codex Client Configuration Snapshot
In this Codex client model catalog, GPT-6.1 Terra is configured with low as its default reasoning level, supports six reasoning levels, has a 500,000-token context window, and is marked as supporting parallel tool calls and API use. This snapshot does not indi.
GPT-6.1 Terra: Vercel AI Gateway Integration
In Vercel AI Gateway, GPT-6.1 Terra's model name is openai/gpt-6.1-terra. You can call it through the Vercel AI SDK, the OpenAI-compatible Chat Completions API, the Responses API, or a coding agent connected to Gateway. Gateway provides centralized usage and c.
GPT-6.1 Terra: GitHub Copilot Model Selection and Access Configuration
GPT-6.1 Terra is now available in GitHub Copilot. Pro, Pro+, Max, Business, and Enterprise users can select it in the model picker across multiple Copilot clients. Business and Enterprise administrators can manage access through model policies in Copilot setti.
GPT-6.1 Terra: Netlify AI Gateway and Agent Runners Configuration
Netlify now supports GPT-6.1 Terra in AI Gateway and Agent Runners. A Netlify Function can call the Responses API through the OpenAI SDK using the model ID gpt-6.1-terra; Netlify injects the Gateway credentials automatically. In Agent Runners, you can select t.
GPT-6.1 Terra vs. GPT-6.1 Sol: A Side-by-Side Fast-Mode Form-Filling Workflow
This workflow has GPT-6.1 Terra and GPT-6.1 Sol fill out the same long, general-purpose form in Fast mode, with screen recordings shown side by side. The author reports that Terra took 53.5 seconds and Sol took 3 minutes 21.7 seconds, but this was a single per.
GPT-6.1 Terra
Use in Tabbit
Curated prompt patterns, model settings, and practical examples for GPT-6.1 Terra, with the original source attached to every entry.