Home Arrow Icon Knowledge base Arrow Icon Global Arrow Icon What specific benchmarks have DeepSeek and Copilot been tested against


What specific benchmarks have DeepSeek and Copilot been tested against


DeepSeek and Copilot have been tested against various benchmarks, showcasing their capabilities in different areas.

DeepSeek Benchmarks

DeepSeek, particularly its R1 model, has been evaluated across several benchmarks:

- Mathematics Benchmarks: DeepSeek R1 performed strongly in mathematics, scoring 79.8% on the AIME 2024 benchmark, slightly ahead of OpenAI's o1-1217 at 79.2%. On the MATH-500 benchmark, DeepSeek R1 achieved an impressive 97.3%, surpassing OpenAI's o1-1217 at 96.4%[3][5].

- Coding Benchmarks: In coding tasks, DeepSeek R1 achieved a competitive 96.3% on the Codeforces benchmark, closely following OpenAI's o1-1217 at 96.6%. On the SWE-bench Verified benchmark, DeepSeek R1 scored 49.2%, slightly ahead of OpenAI's o1-1217 at 48.9%[3][5].

- General Knowledge Benchmarks: DeepSeek R1 scored 71.5% on the GPQA Diamond benchmark, trailing OpenAI's o1-1217 at 75.7%. On the MMLU benchmark, DeepSeek R1 achieved 90.8%, slightly behind OpenAI's o1-1217 at 91.8%[3][5].

- Security and Safety: DeepSeek R1 was tested for security vulnerabilities using the HarmBench benchmark, which includes categories like cybercrime and misinformation. The model showed a 100% attack success rate, indicating significant security concerns compared to other models like OpenAI's o1[1].

Copilot Benchmarks

Copilot, specifically in the context of Excel, has been tested against Deep Seek in a head-to-head comparison:

- Excel Formula Creation: Copilot struggled with formula creation due to its requirement for Auto Save, while Deep Seek provided more flexible solutions, resolving issues in fewer attempts[2].

- Excel Formula Explanation: Copilot offered syntax-based explanations, whereas Deep Seek provided clearer, more practical breakdowns of complex formulas, making it more user-friendly[2].

While Copilot has not been extensively benchmarked in the same manner as DeepSeek across various reasoning and coding tasks, it is recognized for its capabilities in coding assistance, particularly within Microsoft environments[4].

Citations:
[1] https://blogs.cisco.com/security/evaluating-security-risk-in-deepseek-and-other-frontier-reasoning-models
[2] https://www.mrexcel.com/board/threads/excel-copilot-versus-deep-seek-head-to-head-episode-2671.1269554/
[3] https://www.datacamp.com/blog/deepseek-r1
[4] https://dev.to/hanzla-baig/the-ultimate-showdown-chatgpt-vs-deepseek-vs-gemini-vs-copilot-vs-qwen-vs-mistral-33kd
[5] https://www.prompthub.us/blog/deepseek-r-1-model-overview-and-how-it-ranks-against-openais-o1
[6] https://www.reddit.com/r/LocalLLaMA/comments/1i5q6b9/deepseekr1_and_distilled_benchmarks_color_coded/
[7] https://theconversation.com/putting-deepseek-to-the-test-how-its-performance-compares-against-other-ai-tools-248368
[8] https://azure.microsoft.com/en-us/blog/deepseek-r1-is-now-available-on-azure-ai-foundry-and-github/