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LiveCodeBench(01-09)

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Progress Over Time

Interactive timeline showing model performance evolution on LiveCodeBench(01-09)

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LiveCodeBench(01-09) Leaderboard

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About this benchmark

What is LiveCodeBench(01-09)?

LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.

LiveCodeBench(01-09) is a text benchmark evaluating models on reasoning and general tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.4, with the leader at 0.4.

Compare leaders on the best AI for reasoning and best AI for general leaderboards.

Current leaders

DeepSeek-V2.5 from DeepSeek currently leads the LiveCodeBench(01-09) leaderboard with a score of 0.418 across 1 evaluated AI models.

1DeepSeek-V2.5DeepSeek41.8%

FAQ

Common questions about the LiveCodeBench(01-09) benchmark and leaderboard.

What is the LiveCodeBench(01-09) benchmark?

LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.

What is the LiveCodeBench(01-09) leaderboard?

The LiveCodeBench(01-09) leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, DeepSeek-V2.5 by DeepSeek leads with a score of 0.418. The average score across all models is 0.418.

What is the highest LiveCodeBench(01-09) score?

The highest LiveCodeBench(01-09) score is 0.418, achieved by DeepSeek-V2.5 from DeepSeek.

How many models are evaluated on LiveCodeBench(01-09)?

1 models have been evaluated on the LiveCodeBench(01-09) benchmark, with 0 verified results and 1 self-reported results.

Where can I find the LiveCodeBench(01-09) paper?

The LiveCodeBench(01-09) paper is available at https://arxiv.org/abs/2403.07974. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does LiveCodeBench(01-09) cover?

LiveCodeBench(01-09) is categorized under reasoning and general. The benchmark evaluates text models.

How recent are the LiveCodeBench(01-09) leaderboard results?

The LiveCodeBench(01-09) leaderboard was last updated in September 2026 and currently includes 1 evaluated models.