OpenAI’s GPT-6.1 Terra ranks #14 in Code Arena WebDev with 1,671 points

OpenAI's GPT-6.1 Terra, announced October 26, 2026, ranked #14 on Arena.ai's Code Arena WebDev leaderboard with 1,671 points by October 27, 151 points above predecessor GPT-5.6 Terra, which now sits at #56. The mid-tier model cut median cost per task 28%, to $0.40 from $0.56, and OpenAI set standard API pricing 50% lower than GPT-5.6 Terra at $1 per million input tokens and $5 per million output tokens. On Terminal-Bench 4.0 at max effort, GPT-6.1 Terra solved 50.3% of tasks versus 21.5% for GPT-5.6 Terra, and it completes tasks more than three times faster on average than GPT-6 Astra and GPT-6.1 Sol.

OpenAI / Wikimedia Commons Public domain OpenAI’s GPT-6.1 Terra ranks 14 in Code Arena WebDev with 1,671 points The mid-tier model beats its predecessor by 151 points while cutting median cost per task by 28% OpenAI https://cryptobriefing.com/markets/openai/ ’s newest mid-tier model just walked into one of the most closely watched coding leaderboards and took a seat near the front of the class. GPT-6.1 Terra https://cryptobriefing.com/markets/terra-luna-2/ , running in its Max configuration, landed at 14 on Arena.ai’s Code Arena WebDev leaderboard with 1,671 points . It also did the job for less money per task than the model it replaces, which is not usually how upgrades work. The scoreboard and the receipt OpenAI announced GPT-6.1 Terra on October 26, 2026. By October 27, it held the 14 spot on the WebDev rankings. That placement is 151 points above GPT-5.6 Terra, its predecessor. The older model now sits at 56. The cost side is where things get interesting. GPT-6.1 Terra posts a median task cost of $0.40, compared with $0.56 for GPT-5.6 Terra. That works out to a 28% reduction in median cost per task. More score, smaller bill. Standard API pricing tells a similar story. OpenAI has set it 50% lower than GPT-5.6 Terra, at $1 per million input tokens and $5 per million output tokens. AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Tokens are the chunks of text a model reads and writes, roughly pieces of words. Developers pay by the million, so a halved rate card adds up fast for anyone running heavy workloads. Speed and terminal work On Terminal-Bench 4.0 at max effort, GPT-6.1 Terra solved 50.3% of tasks. GPT-5.6 Terra managed 21.5%. Terminal-Bench measures how well a model handles command-line work, the text-based interface engineers use to run, configure and debug software. Speed also got attention. On average, GPT-6.1 Terra completes tasks more than three times faster than both GPT-6 Astra and GPT-6.1 Sol. Where Terra fits in the lineup OpenAI positions GPT-6.1 Terra as a cost-efficient mid-tier option. Its focus is visual reasoning and routine computer tasks, sitting below GPT-6.1 Sol and GPT-6 Astra in the hierarchy. The model is available in ChatGPT Work and Codex. Eligible users can also reach it through the API under the name gpt-6.1-terra. Codex is OpenAI’s coding-focused product, so putting Terra there signals who the company expects to lean on it. Developers doing everyday build-and-fix work are the obvious audience. The WebDev leaderboard result reinforces that pitch. Code Arena WebDev ranks models on web development tasks, which is exactly the kind of routine-but-valuable work a mid-tier model is meant to absorb. Disclosure: This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our Editorial Policy https://cryptobriefing.com/editorial-policy/ .