Compare GLM-4.5V-Flash vs. GPT-6.1 Terra in 2026

GPT-6.1 Terra

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Description

GLM-4.5V-Flash is a vision-language model that is open source and specifically crafted to integrate robust multimodal functionalities into a compact and easily deployable framework. It accommodates various types of inputs including images, videos, documents, and graphical user interfaces, facilitating a range of tasks such as understanding scenes, parsing charts and documents, reading screens, and analyzing multiple images. In contrast to its larger counterparts, GLM-4.5V-Flash maintains a smaller footprint while still embodying essential visual language model features such as visual reasoning, video comprehension, handling GUI tasks, and parsing complex documents. This model can be utilized within “GUI agent” workflows, allowing it to interpret screenshots or desktop captures, identify icons or UI components, and assist with both automated desktop and web tasks. While it may not achieve the performance enhancements seen in the largest models, GLM-4.5V-Flash is highly adaptable for practical multimodal applications where efficiency, reduced resource requirements, and extensive modality support are key considerations. Its design ensures that users can harness powerful functionalities without sacrificing speed or accessibility.

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.