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Frontier model evaluation for Physical AI

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Frontier model evaluation for Physical AI
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We tested the latest frontier models gpt-5.6-terra in our agent, on five modeling and simulation problems of varying difficulty. A model of an aircraft, a separation column or a charged particle can compile and run cleanly while the physics it encodes is impossible. Agentic AI makes this failure mode worse, because agents steer by feedback from tests, and the tests are often written by the same agent.

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Juliahub
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We tested the latest frontier models gpt-5.6-terra in our agent, on five modeling and simulation problems of varying difficulty. Here are the results: .jh-score-grid{display:grid;grid-template-columns:repeat(4,minmax(0,1fr));border-top:1px solid #d8d3e8;border-bottom:1px solid #d8d3e8} .jh-score-card{padding:26px 26px 22px;border-left:1px solid #d8d3e8;font-family:"JetBrains Mono", ui-monospace, monospace} .jh-score-card:first-child{border-left:0} .jh-score-name{font-size:13.5px;font-weight:600;letter-spacing:.04em;margin-bottom:14px} .jh-score-value{font-size:42px;font-weight:600;line-height:1} .jh-score-meta{font-size:12.5px;color:#8580a0;margin-top:14px;line-height:1.7}…

Excerpt limited to ~120 words for fair-use compliance. The full article is at Juliahub.

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