Home Arrow Icon Knowledge base Arrow Icon Global Arrow Icon How does DeepSeek-R1's performance on the LiveCodeBench benchmark compare to its performance on the Codeforces benchmark


How does DeepSeek-R1's performance on the LiveCodeBench benchmark compare to its performance on the Codeforces benchmark


DeepSeek-R1 demonstrates strong performance across various coding benchmarks, including LiveCodeBench and Codeforces. Here's a detailed comparison of its performance on these two benchmarks:

LiveCodeBench Benchmark

On the LiveCodeBench benchmark, DeepSeek-R1 achieved a Pass@1 score of 65.9%[7]. This benchmark evaluates a model's ability to write and execute code in real-world scenarios, focusing on practical coding skills. While this score is competitive, it highlights DeepSeek-R1's capability to handle coding tasks that require immediate execution and feedback.

Codeforces Benchmark

In contrast, on the Codeforces benchmark, DeepSeek-R1 achieved an Elo rating of 2029[3][4]. Codeforces is a platform that assesses coding skills through competitive programming challenges, emphasizing algorithmic reasoning and problem-solving. The high Elo rating places DeepSeek-R1 in the top percentile of participants, indicating its strong proficiency in solving complex algorithmic problems. This performance suggests that DeepSeek-R1 excels in tasks requiring strategic thinking and coding efficiency.

Comparison

While both benchmarks evaluate coding abilities, they focus on different aspects: LiveCodeBench emphasizes practical coding execution, whereas Codeforces focuses on competitive algorithmic problem-solving. DeepSeek-R1 performs well on both, but its higher Elo rating on Codeforces indicates a stronger proficiency in solving complex coding challenges. This suggests that DeepSeek-R1 is particularly adept at handling tasks that require strategic coding and algorithmic reasoning, making it a strong contender in competitive coding environments.

Overall, DeepSeek-R1's performance on these benchmarks highlights its versatility in handling different types of coding tasks, from practical execution to competitive problem-solving.

Citations:
[1] https://www.prompthub.us/blog/deepseek-r-1-model-overview-and-how-it-ranks-against-openais-o1
[2] https://www.reddit.com/r/LocalLLaMA/comments/1i8rujw/notes_on_deepseek_r1_just_how_good_it_is_compared/
[3] https://blog.promptlayer.com/openai-o3-vs-deepseek-r1-an-analysis-of-reasoning-models/
[4] https://www.datacamp.com/blog/deepseek-r1
[5] https://forum.effectivealtruism.org/posts/d3iFbMyu5gte8xriz/is-deepseek-r1-already-better-than-o3-when-inference-costs
[6] https://www.reddit.com/r/LocalLLaMA/comments/1i5q6b9/deepseekr1_and_distilled_benchmarks_color_coded/
[7] https://huggingface.co/deepseek-ai/DeepSeek-R1
[8] https://codeforces.com/blog/entry/138735