TheoPhysEval
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- GPT-6 Astra tops new physics benchmark, solving 49 of 50 problems
A team of 35 researchers from ICTS, Harvard, KU Leuven and Google DeepMind released TheoPhysEval, a benchmark of 50 unpublished theoretical physics problems with verifiable answers. OpenAI's GPT-6 Astra, running in Codex, solved 49 of 50 (98%) at under $3 per problem and about $116 for the full run; Anthropic's Claude Opus 5.5 in Claude Code scored 92%, Gemini 3.8 Flash 68%, and the open-weight DeepSeek-V4.1-Flash and GLM 5.3 reached 54% and 42%. The authors say web search made little difference and that agents still lack the "taste" to pick the right problems, so no comparable physics breakthrough has followed yet.
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