math benchmark
LiveBench is a challenging, contamination-limited LLM benchmark that addresses test set contamination by releasing new questions monthly based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses. It comprises tasks across math, coding, reasoning, language, instruction following, and data analysis with verifiable, objective ground-truth answers.
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score79.6% | Percentile100.0% | Participants14 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score78.4% | Percentile92.3% | Participants14 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score76.6% | Percentile84.6% | Participants14 | EvidenceC | Evaluated |
| Rank04 | ModelAC | Score75.8% | Percentile76.9% | Participants14 | EvidenceC | Evaluated |
| Rank05 | ModelAC | Score75.4% | Percentile69.2% | Participants14 | EvidenceC | Evaluated |
| Rank06 | ModelAC | Score74.8% | Percentile61.5% | Participants14 | EvidenceC | Evaluated |
| Rank07 | ModelAC | Score74.7% | Percentile53.9% | Participants14 | EvidenceC | Evaluated |
| Rank08 | ModelAC | Score72.2% | Percentile46.1% | Participants14 | EvidenceC | Evaluated |
| Rank09 | ModelAC | Score72.1% | Percentile38.5% | Participants14 | EvidenceC | Evaluated |
| Rank10 | ModelAC | Score69.8% | Percentile30.8% | Participants14 | EvidenceC | Evaluated |
| Rank11 | ModelAC | Score68.4% | Percentile23.1% | Participants14 | EvidenceC | Evaluated |
| Rank12 | ModelAC | Score65.4% | Percentile15.4% | Participants14 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score62.0% | Percentile7.7% | Participants14 | EvidenceC | Evaluated |
| Rank14 | ModelAC | Score60.9% | Percentile0.0% | Participants14 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading 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 livebench 20241125 AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Qwen3 VL 235B A22B Thinking currently leads LiveBench 20241125 with 79.6%. 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 LiveBench 20241125 measures and how its scores work.
LiveBench is a challenging, contamination-limited LLM benchmark that addresses test set contamination by releasing new questions monthly based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses. It comprises tasks across math, coding, reasoning, language, instruction following, and data analysis with verifiable, objective ground-truth answers.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about LiveBench 20241125.
Qwen3 VL 235B A22B Thinking is currently ranked first with 79.6%.
LiveBench is a challenging, contamination-limited LLM benchmark that addresses test set contamination by releasing new questions monthly based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses. It comprises tasks across math, coding, reasoning, language, instruction following, and data analysis with verifiable, objective ground-truth answers.
Yes. Higher values rank better for this benchmark.
14 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.