reasoning benchmark
LiveCodeBench Pro
LiveCodeBench Pro is an advanced evaluation benchmark for large language models for code that uses Elo ratings to rank models based on their performance on coding tasks. It evaluates models on real-world coding problems from programming contests (LeetCode, AtCoder, CodeForces) and provides a relative ranking system where higher Elo scores indicate superior performance.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
LiveCodeBench Pro Ranking
Higher score ranks better on this benchmark.
| 01 | GO | 2,887 points | 100.0% | 4 | C | |
| 02 | GO | 2,439 points | 66.7% | 4 | C | |
| 03 | ME | 0.8 points | 33.3% | 4 | C | |
| 04 | GO | 2,316 points | 0.0% | 4 | C |
LiveCodeBench Pro Score Distribution
A closer view of the leading scores on this benchmark.
LiveCodeBench Pro Highlights
The leading models and scores on this benchmark.
What is LiveCodeBench Pro?
What LiveCodeBench Pro measures and how its scores work.
LiveCodeBench Pro is an advanced evaluation benchmark for large language models for code that uses Elo ratings to rank models based on their performance on coding tasks. It evaluates models on real-world coding problems from programming contests (LeetCode, AtCoder, CodeForces) and provides a relative ranking system where higher Elo scores indicate superior performance.
Scores are shown in points. This benchmark is not independently verified and has an evidence level of B.
- Family
- LiveCodeBench Pro
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- livecodebench-pro|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about LiveCodeBench Pro.
Which model scores highest on LiveCodeBench Pro?
Gemini 3.1 Pro is currently ranked first with 2,887 points.
What does LiveCodeBench Pro measure?
LiveCodeBench Pro is an advanced evaluation benchmark for large language models for code that uses Elo ratings to rank models based on their performance on coding tasks. It evaluates models on real-world coding problems from programming contests (LeetCode, AtCoder, CodeForces) and provides a relative ranking system where higher Elo scores indicate superior performance.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.