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