physics benchmark
CMT-Benchmark evaluates models on condensed matter theory problems across many-body systems, quantum field theory, and statistical mechanics.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelTE | Score37.90% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis cmt-benchmark AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Hy3 currently leads CMT-Benchmark with 37.90%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What CMT-Benchmark measures and how its scores work.
CMT-Benchmark is a physics benchmark for evaluating models on condensed matter theory problems.
It measures model performance using Score, reported as a ratio, and tests advanced physics reasoning across many-body systems, quantum field theory, and statistical mechanics.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about CMT-Benchmark.
Hy3 is currently ranked first with 37.90%.
The current leaders are Hy3 (37.90%).
No matched official input price is currently available.
No matched runtime record is currently available.
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures model performance using Score, reported as a ratio, and tests advanced physics reasoning across many-body systems, quantum field theory, and statistical mechanics.
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.