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GPT-6-Astra solves 49/50 problems on physics benchmark TheoPhysEval

1 reports 1 reporting sources 3 days ago updated

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On October 15, 2026, The Decoder reported that researchers launched a new theoretical physics benchmark called TheoPhysEval, designed to test routine research-level problems. On the benchmark's 50 questions, OpenAI's model GPT-6-Astra (running in the Codex environment) solved 49 of them without any prompting, i.e., 49 out of 50. The report also noted that the cost of solving a single problem is about $2.40. Public reporting so far includes only this result, with no further details about the benchmark, other models' performance, or a response from OpenAI.

AI overview of reporting · Updated 3 days ago

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10/15
  1. The Decoder
    GPT-6-Astra solves 49 of 50 physics research problems at $2.40 apiece

    Researchers introduced TheoPhysEval, a benchmark of routine theoretical physics research problems, and OpenAI's GPT-6-Astra (running in the Codex environment) solved 49 of 50 problems without human hints.

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