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.

Gemini 3.1 Pro from Google currently leads the LiveCodeBench Pro leaderboard with a score of 2887.000 across 4 evaluated AI models.

Paper

GoogleGemini 3.1 Pro leads with 2887.000, followed by GoogleGemini 3 Pro at 2439.000 and GoogleGemini 3 Flash at 2316.000.

Progress Over Time

Interactive timeline showing model performance evolution on LiveCodeBench Pro

State-of-the-art frontier
Open
Proprietary

LiveCodeBench Pro Leaderboard

4 models
ContextCostLicense
11.0M$2.50 / $15.00
2
31.0M$0.50 / $3.00
4
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FAQ

Common questions about LiveCodeBench Pro.

What is the LiveCodeBench Pro benchmark?

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.

What is the LiveCodeBench Pro leaderboard?

The LiveCodeBench Pro leaderboard ranks 4 AI models based on their performance on this benchmark. Currently, Gemini 3.1 Pro by Google leads with a score of 2887.000. The average score across all models is 1910.700.

What is the highest LiveCodeBench Pro score?

The highest LiveCodeBench Pro score is 2887.000, achieved by Gemini 3.1 Pro from Google.

How many models are evaluated on LiveCodeBench Pro?

4 models have been evaluated on the LiveCodeBench Pro benchmark, with 0 verified results and 4 self-reported results.

Where can I find the LiveCodeBench Pro paper?

The LiveCodeBench Pro paper is available at https://arxiv.org/abs/2403.07974. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does LiveCodeBench Pro cover?

LiveCodeBench Pro is categorized under general, reasoning, and code. The benchmark evaluates text models.

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