GPT-6.1 Terra Description
GPT-6.1 Terra is a multimodal reasoning and computer-use model developed by OpenAI to support visual analysis, software engineering, writing, and automated professional workflows. The model processes text and image inputs and generates text outputs, enabling applications that require understanding visual information and executing actions in software interfaces. Its computer-use capabilities allow AI agents to interact with desktop applications, complete forms, interpret technical drawings, and perform multistep tasks across graphical environments. GPT-6.1 Terra provides a 1,050,000-token context window and supports outputs of up to 128,000 tokens for processing extensive documents and complex task instructions. Its reasoning effort can be configured across none, low, medium, high, xhigh, and max settings to balance computational effort, response speed, and task complexity. Software development capabilities include code generation, debugging, command-line problem-solving, and automated execution of technical workflows. The model supports function calling, structured outputs, web search, file search, code interpretation, computer use, and Model Context Protocol integrations through the OpenAI Responses API. Compared with GPT-5.6 Terra, the model provides improved visual reasoning, coding performance, factual accuracy, and computer-use capabilities while reducing standard API token prices by 50%. GPT-6.1 Terra is available in ChatGPT Work, Codex, and the OpenAI API, with standard pricing of $1 per million input tokens and $5 per million output tokens.
Pricing
Output: $5 per 1 million tokens
Cached Input: $0.05 per 1 million cached input tokens
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GPT-6.1 Terra Features and Options
GPT-6.1 Terra User Reviews
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Great model Date: Oct 26 2026
Summary: It is quick, capable, reasonably priced, and really good for everyday agent work where I want a little more intelligence without paying for the top model every time.
Positive: Great for the stuff where I want more than a lightweight model, but I don’t really need to bring out Sol or Astra. That middle ground is where it works really well. It feels fast, and it is especially good with screenshots, browser-based tasks, computer use, and smaller coding jobs. I can throw a UI problem or a multi-step workflow at it and usually get something useful without much back-and-forth. The 1M+ context window is also nice because I do not have to be precious about what I include. I can give it a bunch of files, logs, docs, or prior context and just let it work through the whole thing.
Negative: The main drawback is that it is a bit of a “middle child” model. Luna is cheaper when I just need something fast, and Sol is better when the task is genuinely hard.
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