{"slug": "openais-gpt-6-1-terra-ranks-14-in-code-arena-webdev-with-1671-points", "title": "OpenAI’s GPT-6.1 Terra ranks #14 in Code Arena WebDev with 1,671 points", "summary": "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.", "body_md": "OpenAI / Wikimedia Commons (Public domain)\n\n# OpenAI’s GPT-6.1 Terra ranks #14 in Code Arena WebDev with 1,671 points\n\nThe mid-tier model beats its predecessor by 151 points while cutting median cost per task by 28%\n\n[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.\n\nGPT-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.\n\n## The scoreboard and the receipt\n\nOpenAI announced GPT-6.1 Terra on October 26, 2026. By October 27, it held the #14 spot on the WebDev rankings.\n\nThat placement is 151 points above GPT-5.6 Terra, its predecessor. The older model now sits at #56.\n\nThe 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.\n\nThat works out to a 28% reduction in median cost per task. More score, smaller bill.\n\nStandard 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.\n\n### AI, tech, and the markets they move—in one daily briefing.\n\nDaily. Free. Join 34,000+ readers across crypto, finance, and policy.\n\nTokens 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.\n\n## Speed and terminal work\n\nOn Terminal-Bench 4.0 at max effort, GPT-6.1 Terra solved 50.3% of tasks. GPT-5.6 Terra managed 21.5%.\n\nTerminal-Bench measures how well a model handles command-line work, the text-based interface engineers use to run, configure and debug software.\n\nSpeed 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.\n\n## Where Terra fits in the lineup\n\nOpenAI 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.\n\nThe model is available in ChatGPT Work and Codex. Eligible users can also reach it through the API under the name gpt-6.1-terra.\n\nCodex 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.\n\nThe 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.\n\n**Disclosure:** This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our\n\n[Editorial Policy](https://cryptobriefing.com/editorial-policy/).", "url": "https://wpnews.pro/news/openais-gpt-6-1-terra-ranks-14-in-code-arena-webdev-with-1671-points", "canonical_source": "https://cryptobriefing.com/openai-gpt-6-1-terra-code-arena-webdev/", "published_at": "2026-10-27 16:35:55+00:00", "updated_at": "2026-10-27 16:44:37.019015+00:00", "lang": "en", "topics": ["large-language-models", "ai-products", "artificial-intelligence", "ai-tools"], "entities": ["OpenAI", "GPT-6.1 Terra", "GPT-5.6 Terra", "Arena.ai", "Code Arena WebDev", "GPT-6 Astra", "GPT-6.1 Sol", "ChatGPT Work"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/openais-gpt-6-1-terra-ranks-14-in-code-arena-webdev-with-1671-points", "markdown": "https://wpnews.pro/news/openais-gpt-6-1-terra-ranks-14-in-code-arena-webdev-with-1671-points.md", "text": "https://wpnews.pro/news/openais-gpt-6-1-terra-ranks-14-in-code-arena-webdev-with-1671-points.txt", "jsonld": "https://wpnews.pro/news/openais-gpt-6-1-terra-ranks-14-in-code-arena-webdev-with-1671-points.jsonld"}}