# OpenAI bets on AI economics with lower-cost GPT-6.1 Terra

DevFeed: [OpenAI bets on AI economics with lower-cost GPT-6.1 Terra](<https://devfeed.tech/articles/openai-bets-on-ai-economics-with-lower-cost-gpt-6-1-terra-102108.md>)

Original publisher: [Read original article](<https://www.infoworld.com/article/4241006/openai-bets-on-ai-economics-with-lower-cost-gpt-6-1-terra.html>)

Author: Nidhi Singal

Published: 2026-10-27T12:01:56Z

Content type: news

Language: en

Sources: [InfoWorld](<https://devfeed.tech/sources/infoworld.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [llm-reasoning](<https://devfeed.tech/topics/llm-reasoning.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Claude](<https://devfeed.tech/topics/claude.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-economics](<https://devfeed.tech/tags/ai-economics.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [artificial-intelligence-development-tools-software-development](<https://devfeed.tech/tags/artificial-intelligence-development-tools-software-development.md>), [astra](<https://devfeed.tech/tags/astra.md>), [automate](<https://devfeed.tech/tags/automate.md>), [automation](<https://devfeed.tech/tags/automation.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [better](<https://devfeed.tech/tags/better.md>), [capabilities](<https://devfeed.tech/tags/capabilities.md>), [central](<https://devfeed.tech/tags/central.md>), [ceo](<https://devfeed.tech/tags/ceo.md>), [claude](<https://devfeed.tech/tags/claude.md>), [cost](<https://devfeed.tech/tags/cost.md>), [development-tools](<https://devfeed.tech/tags/development-tools.md>), [economics](<https://devfeed.tech/tags/economics.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [gpt-6-1-terra](<https://devfeed.tech/tags/gpt-6-1-terra.md>), [language-en](<https://devfeed.tech/tags/language-en.md>), [openai](<https://devfeed.tech/tags/openai.md>), [software-development](<https://devfeed.tech/tags/software-development.md>), [storytype-news](<https://devfeed.tech/tags/storytype-news.md>)

## AI overview

GPT-6.1 Terra is positioned as a mid-tier model for professional and computer-use workloads, with lower costs and improved results over GPT-5.6 Terra on the cited benchmarks. At max effort, it scored 60.0% on Agents' Last Exam for $1.01 per task, versus GPT-5.6 Terra's 50.7% at $3.58; on MMMU-Pro it scored 85.5% at $0.012 per task, close to GPT-6.1 Sol and GPT-6 Astra, though no competitor comparison was provided. On OSWorld 2.1 it improved to 74.2% from 57.1%, but trailed Claude Sonnet 5.5's 83.9%. OpenAI also reports lower error rates on its internal prompts benchmark. Terra is available in ChatGPT Work and Codex for Plus, Pro, Enterprise, and Edu users, and through the API. Its token rates are half GPT-6.1 Sol's. The excerpt cautions that lower inference costs do not capture review and integration effort; enterprises are advised to evaluate completion, accuracy, time, workflow cost, human intervention, and security on their own workloads.

## Source excerpt

OpenAI has launched GPT-6.1 Terra, a new reasoning model that it says delivers near-frontier performance on visual reasoning, professional task execution, and computer-use benchmarks without the premium price tag. Replacing GPT-5.6 Terra, the model is aimed at organizations seeking better accuracy and automation capabilities for large-scale operational workloads. Claiming it to be a step up from GPT-5.6 Terra at 50% lower price, OpenAI said its new mid-tier model is designed to handle everyday professional work such as drafting proposals, interpreting technical drawings, filling out forms, and editing videos. "We're introducing GPT-6.1 Terra, a fast, efficient model that combines detailed visual reasoning and precise computer use alongside clearer, more natural writing," the company noted. GPT-6.1 Terra targets developers and enterprises looking to automate everyday knowledge work at scale without paying premium prices for frontier AI models, said Pareekh Jain, CEO at EIIRTrend & Pareekh Consulting. "Enterprises need AI models that balance intelligence, speed and cost. Frontier models are expensive for routine tasks, while smaller models may lack sufficient capabilities. Terra addresses this gap, competing with Anthropic's Claude Sonnet and Google's Gemini Flash models." Better performance at lower cost The new reasoning model sits between OpenAI's lower-cost GPT-6 Luna and its higher-capability GPT-6.1 Sol and GPT-6 Astra models. As OpenAI has positioned computer use as a central capability of GPT-6.1 Terra, it is backing those claims with a series of benchmark scores. On Agents' Last Exam, a benchmark of professional tasks, at max effort, GPT-6.1 Terra scored 60.0% at a cost of $1.01 per task, compared to 50.7% for GPT-5.6 Terra ($3.58), 58.6% for GPT-6.1 Sol ($2.00), and 59.3% for GPT-6 Astra ($7.24). In comparison, Claude Opus 5.5 scored 63.2% at max effort, costing $8.82 per task. Visual reasoning results on the MMMU-Pro benchmark show GPT-6.1 Terra outperformi