DeepSeek-R1 and GPT-4o-0513 are both advanced AI models, but they perform differently on the Codeforces benchmark, which evaluates coding proficiency and algorithmic reasoning.
DeepSeek-R1 Performance:
- DeepSeek-R1 achieves a Codeforces percentile of 96.3 and a rating of 2029. This indicates strong performance in competitive coding tasks, placing it among the top models in this area[2][4].
- Its high rating suggests that DeepSeek-R1 is capable of solving complex coding challenges effectively, often rivaling or surpassing other models like OpenAI o1-1217, except for a slight difference in percentile[4][6].
GPT-4o-0513 Performance:
- GPT-4o-0513, on the other hand, has a significantly lower Codeforces percentile of 23.6 and a rating of 759. This indicates that while GPT-4o-0513 is a powerful model, it does not perform as well as DeepSeek-R1 in coding tasks[2][5].
- The lower rating and percentile suggest that GPT-4o-0513 may struggle with more complex coding challenges compared to DeepSeek-R1.
In summary, DeepSeek-R1 outperforms GPT-4o-0513 on the Codeforces benchmark, demonstrating superior coding capabilities and algorithmic reasoning skills. This makes DeepSeek-R1 a more suitable choice for tasks requiring advanced coding proficiency.
Citations:
[1] https://www.prompthub.us/blog/deepseek-r-1-model-overview-and-how-it-ranks-against-openais-o1
[2] https://blog.getbind.co/2025/01/23/deepseek-r1-vs-gpt-o1-vs-claude-3-5-sonnet-which-is-best-for-coding/
[3] https://www.reddit.com/r/LocalLLaMA/comments/1hr56e3/notes_on_deepseek_v3_is_it_truly_better_than/
[4] https://www.datacamp.com/blog/deepseek-r1
[5] https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
[6] https://writesonic.com/blog/deepseek-vs-chatgpt
[7] https://www.reddit.com/r/LocalLLaMA/comments/1i8rujw/notes_on_deepseek_r1_just_how_good_it_is_compared/
[8] https://codeforces.com/blog/entry/133874