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GPT 6.1 Terra shows strong performance on hard algorithmic problems

A user on Reddit shared benchmark results comparing OpenAI's GPT 6.1 Terra model against other models on challenging algorithmic problems. The GPT 6.1 Terra model, particularly in its 'Max' effort setting, demonstrated superior performance in solving complex problems like 2271G and 2271H2, achieving significantly faster solve times than models such as Opus 5.5, Haiku 5.5, Luna 5.6, and Luna 6.0. The results suggest that GPT 6.1 Terra, especially when utilizing maximum effort, excels at tasks that are difficult even for advanced AI models. AI

IMPACT Demonstrates advanced problem-solving capabilities in AI models, potentially influencing future development and application in complex domains.

RANK_REASON User-generated benchmark results for an AI model on algorithmic problems. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/OpenAI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

GPT 6.1 Terra shows strong performance on hard algorithmic problems

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14 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
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Tool
User-generated benchmark results for an AI model on algorithmic problems. [lever_c_demoted from research: ic=1 ai=1.0]
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model release, product
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High
Clearly on-topic for AI-industry coverage.
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Breaking (< 6h)
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COVERAGE [1]

  1. r/OpenAI TIER_2 English(EN) · /u/tuhdo ·

    Benchmark Results on hard algorithmic problems with GPT 6.1 Terra

    <table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1xgw40h/benchmark_results_on_hard_algorithmic_problems/"> <img alt="Benchmark Results on hard algorithmic problems with GPT 6.1 Terra" src="https://preview.redd.it/70xx2ctd61yh1.png?width=140&amp;height=32&amp;aut…