DeepSeek-R1 demonstrates strong performance across various benchmarks, including both the SWE Verified and Codeforces benchmarks. Here's a detailed comparison of its performance on these two benchmarks:
SWE Verified Benchmark
On the SWE Verified benchmark, DeepSeek-R1 achieves a score of 49.2%, which is slightly ahead of OpenAI's o1-1217 at 48.9%[2][3]. This benchmark evaluates a model's reasoning in software engineering tasks, focusing on tasks like code verification and debugging. While DeepSeek-R1 performs well, Claude-3.5-Sonnet-1022 slightly edges it out with a score of 50.8%[3].Codeforces Benchmark
In contrast, DeepSeek-R1 excels on the Codeforces benchmark, achieving a percentile of 96.3 and an Elo rating of 2029[3][4]. This places it among the top performers in competitive coding, closely following OpenAI o1-1217, which leads with a percentile of 96.6 and a rating of 2061[3]. The Codeforces benchmark assesses a model's coding and algorithmic reasoning capabilities by comparing its performance against human participants.Comparison
While DeepSeek-R1 performs competitively on both benchmarks, its performance is more pronounced on the Codeforces benchmark. This suggests that DeepSeek-R1 is particularly adept at solving algorithmic and coding challenges, which are more structured and require precise logical reasoning. On the SWE Verified benchmark, while it performs well, it is slightly less dominant compared to its performance on Codeforces. This indicates that DeepSeek-R1 might be more suited for tasks requiring algorithmic reasoning rather than those focused on software verification and debugging.Overall, DeepSeek-R1 demonstrates versatility across different types of coding and reasoning tasks, but its strengths are more evident in algorithmic problem-solving.
Citations:
[1] https://www.prompthub.us/blog/deepseek-r-1-model-overview-and-how-it-ranks-against-openais-o1
[2] https://www.datacamp.com/blog/deepseek-r1
[3] https://blog.getbind.co/2025/01/23/deepseek-r1-vs-gpt-o1-vs-claude-3-5-sonnet-which-is-best-for-coding/
[4] https://techcrunch.com/2025/01/27/deepseek-claims-its-reasoning-model-beats-openais-o1-on-certain-benchmarks/
[5] https://forum.effectivealtruism.org/posts/d3iFbMyu5gte8xriz/is-deepseek-r1-already-better-than-o3-when-inference-costs
[6] https://blog.promptlayer.com/openai-o3-vs-deepseek-r1-an-analysis-of-reasoning-models/
[7] https://huggingface.co/deepseek-ai/DeepSeek-R1
[8] https://arxiv.org/html/2501.12948v1