reasoning benchmark
LiveCodeBench Pro is a benchmark for evaluating large language models for code on coding tasks from LeetCode, AtCoder, and CodeForces using Elo ratings.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelGO | Score2,887.00 points | Percentile100.00% | Participants4 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score2,439.00 points | Percentile66.67% | Participants4 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score2,316.00 points | Percentile33.33% | Participants4 | EvidenceC | Evaluated |
| Rank04 | ModelME | Score0.80 points | Percentile0.00% | Participants4 | 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.
What LiveCodeBench Pro measures and how its scores work.
LiveCodeBench Pro is a coding benchmark that evaluates large language models on real-world coding problems from programming contests.
It measures model performance on coding tasks using Score in points and Elo ratings, 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.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about LiveCodeBench Pro.
Gemini 3.1 Pro is currently ranked first with 2,887.00 points.
The current leaders are Gemini 3.1 Pro (2,887.00 points), Gemini 3 Pro (2,439.00 points), and Gemini 3 Flash (2,316.00 points).
Gemini 3 Flash has the lowest matched official input price at $0.50 input / $3.0 output per 1M tokens.
The fastest matched records are Gemini 3 Flash (124.32 tok/s via Google), Gemini 3 Pro (90.00 tok/s via Google), and Gemini 3.1 Pro (43.79 tok/s via Google).
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 on coding tasks using Score in points and Elo ratings, where higher Elo scores indicate superior performance.
Yes. Higher values rank better for this benchmark.
4 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis livecodebench pro 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
Gemini 3.1 Pro currently leads LiveCodeBench Pro with 2,887.00 points. 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.