DeepSeek / MODEL EVIDENCE

DeepSeek-R1

51 benchmarks · 92 observations · 47 sources · released 2025-01-20

Scores at a glance

51 benchmarks · large dot: DeepSeek-R1; small dots: closest models where reported

9.2896.4

DeepSeek-R1 · GPQA diamond · Best score (across scorers) · % ↗

3.2998.13

DeepSeek-R1 · MATH level 5 · Best score (across scorers) · % ↗

3.768.3

DeepSeek-R1 · Balrog · Average progress · % ↗

22.0882.35

DeepSeek-R1 · LiveBench · Global average · % ↗

5.7874.39

DeepSeek R1 · Scale Labs · Risk elicitation score ↗

26.248.2

DeepSeek-R1 · Multi-SWE-bench · Resolved · Python · language-specific results ↗

22 more reported results

2% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Python · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

26% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Python · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

22.66% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Java · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

9.38% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Java · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

8.59% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Java · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

6.25% · DeepSeek-R1 · Multi-SWE-bench · Resolved · TypeScript · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

5.8% · DeepSeek-R1 · Multi-SWE-bench · Resolved · TypeScript · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

0.45% · DeepSeek-R1 · Multi-SWE-bench · Resolved · TypeScript · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

4.49% · DeepSeek-R1 · Multi-SWE-bench · Resolved · JavaScript · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

1.4% · DeepSeek-R1 · Multi-SWE-bench · Resolved · JavaScript · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

2.53% · DeepSeek-R1 · Multi-SWE-bench · Resolved · JavaScript · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

3.74% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Go · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

2.1% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Go · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

0% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Go · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

6.69% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Rust · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

2.09% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Rust · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

4.6% · DeepSeek-R1 · Multi-SWE-bench · Resolved · Rust · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

0.78% · DeepSeek-R1 · Multi-SWE-bench · Resolved · C · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

2.34% · DeepSeek-R1 · Multi-SWE-bench · Resolved · C · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

3.1% · DeepSeek-R1 · Multi-SWE-bench · Resolved · C++ · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

6.2% · DeepSeek-R1 · Multi-SWE-bench · Resolved · C++ · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

4.65% · DeepSeek-R1 · Multi-SWE-bench · Resolved · C++ · language-specific results · Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving ↗

4.842.9

DeepSeek-R1 · BrowseComp-ZH · Answer accuracy · original comparison ↗

52.6961.82

DeepSeek-R1 · SuperGPQA · Sample-weighted accuracy · reasoning, chat and base-model cohorts ↗

6.481

DeepSeek-R1 · ZebraLogic · Grid-level accuracy · complete puzzles ↗

23.899.1

Deepseek R1 · PlanBench · Blocksworld ↗

3 more reported results

43.3% · Deepseek R1 · PlanBench · Mystery Blocksworld · PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change ↗

25.8% · Deepseek R1 · PlanBench · Randomized Mystery Blocksworld · PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change ↗

53.6% · Deepseek R1 · PlanBench · Blocksworld Hard · PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change ↗

747

DeepSeek R1 · SimpleQA · Correct answers · DeepSeek-R1 technical report · comparison ↗

80.492.3

DeepSeek R1 · Arena-Hard · Win rate · GPT-4-1106 reference · DeepSeek-R1 technical report · comparison ↗

40.368

DeepSeek R1 · Chinese SimpleQA · Correct answers · DeepSeek-R1 technical report · comparison ↗

9.379.8

DeepSeek R1 · AIME 2024 · Pass@1 · DeepSeek-R1 technical report · comparison ↗

59.796

DeepSeek R1 · RM-Bench · Overall accuracy · official leaderboard ↗

2.621

DeepSeek-R1 · PaperBench · Average replication score · BasicAgent ↗

33.1480.86

Deepseek-R1 · JudgeBench · Overall pairwise accuracy · Arena-Hard judge scaffold ↗

PRMBench ↗67.8 points
4768.8

DeepSeek-R1† · PRMBench · Overall PRMScore · original evaluation ↗

1999

DeepSeek R1 · LiveCodeBench Pro · Elo rating · human contest calibration ↗

3 more reported results

0% · DeepSeek R1 · LiveCodeBench Pro · Hard · pass@1 · difficulty breakdown · LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? ↗

9.9% · DeepSeek R1 · LiveCodeBench Pro · Medium · pass@1 · difficulty breakdown · LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? ↗

56.3% · DeepSeek R1 · LiveCodeBench Pro · Easy · pass@1 · difficulty breakdown · LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? ↗

60.990.8

DeepSeek-R1† · CFBench (Chinese Complex Following) · Full set · Constraint satisfaction · full-set evaluation ↗

2 more reported results

69.9% · DeepSeek-R1† · CFBench (Chinese Complex Following) · Full set · Instruction satisfaction · full-set evaluation · CFBench: A Comprehensive Constraints-Following Benchmark for LLMs ↗

78.3% · DeepSeek-R1† · CFBench (Chinese Complex Following) · Full set · Priority satisfaction · full-set evaluation · CFBench: A Comprehensive Constraints-Following Benchmark for LLMs ↗

5.3657.16

DeepSeek-R1 · UGPhysics · English · overall accuracy · original evaluation ↗

2 more reported results

55.53% · DeepSeek-R1 · UGPhysics · Chinese · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗

56.34% · DeepSeek-R1 · UGPhysics · Language average · overall accuracy · original evaluation · UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models ↗

42.463.6

DeepSeek R1 · BeyondAIME · accuracy · Seed-Thinking-v1.5 · published comparison ↗

22.9933.51

DeepSeek R1 · CyberSecEval · CyberSOCEval · malware analysis · Overall accuracy · CyberSecEval 4 · CyberSOCEval defensive-analysis comparison ↗

3 more reported results

33% · DeepSeek R1 · CyberSecEval · CyberSOCEval · malware analysis · Easy accuracy · CyberSecEval 4 · CyberSOCEval defensive-analysis comparison · CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning ↗

26% · DeepSeek R1 · CyberSecEval · CyberSOCEval · malware analysis · Medium accuracy · CyberSecEval 4 · CyberSOCEval defensive-analysis comparison · CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning ↗

14% · DeepSeek R1 · CyberSecEval · CyberSOCEval · malware analysis · Hard accuracy · CyberSecEval 4 · CyberSOCEval defensive-analysis comparison · CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

11.8 percentile-point gap

9 of 13 shared benchmark comparisons

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. Aider code editing benchmark ↗

    Paul Gauthier, Aider contributors

  2. Aider LLM Leaderboards — Polyglot coding benchmark ↗

    Aider

  3. ARC Prize - Leaderboard ↗

    ARC Prize Foundation

  4. SciCode Benchmark | Artificial Analysis ↗

    Artificial Analysis

  5. CFBench: A Comprehensive Constraints-Following Benchmark for LLMs — published result table ↗

    Tao Zhang, Chenglin Zhu, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang et al. · 2024

    All 14 authors

    Tao Zhang, Chenglin Zhu, Yanjun Shen, Wenjing Luo, Yan Zhang, Hao Liang, Tao Zhang, Fan Yang, Mingan Lin, Yujing Qiao, Weipeng Chen, Bin Cui, Wentao Zhang, Zenan Zhou

  6. JudgeBench: A Benchmark for Evaluating LLM-based Judges — published result table ↗

    Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang et al. · 2024

    All 8 authors

    Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang, Raluca Ada Popa, Ion Stoica

  7. PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models — published result table ↗

    Song, Mingyang, Su, Zhaochen, Qu, Xiaoye, Zhou, Jiawei, Cheng, Yu · 2025

  8. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning — published result table ↗

    DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang et al. · 2025

    All 200 authors

    DeepSeek-AI, Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang, Qihao Zhu, Runxin Xu, Ruoyu Zhang, Shirong Ma, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jiawei Wang, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Shengfeng Ye, Tao Yun, Tian Pei, Tianyu Sun, T. Wang, Wangding Zeng, Wanjia Zhao, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanhong Xu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, Zhen Zhang

  9. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding — published result table ↗

    Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua et al. · 2025

    All 9 authors

    Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou

  10. UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models — published result table ↗

    Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang et al. · 2025

    All 9 authors

    Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang

  11. ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning — published result table ↗

    Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark et al. · 2025

    All 7 authors

    Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi

  12. KernelBench: Can LLMs Write Efficient GPU Kernels? — published result table ↗

    Ouyang, Anne, Guo, Simon, Arora, Simran, Zhang, Alex L., Hu, William, Ré, Christopher et al. · 2025

    All 7 authors

    Ouyang, Anne, Guo, Simon, Arora, Simran, Zhang, Alex L., Hu, William, Ré, Christopher, Mirhoseini, Azalia

  13. BIG-Bench Extra Hard — published result table ↗

    Kazemi, Mehran, Fatemi, Bahare, Bansal, Hritik, Palowitch, John, Anastasiou, Chrysovalantis, Mehta, Sanket Vaibhav et al. · 2025

    All 20 authors

    Kazemi, Mehran, Fatemi, Bahare, Bansal, Hritik, Palowitch, John, Anastasiou, Chrysovalantis, Mehta, Sanket Vaibhav, Jain, Lalit K., Aglietti, Virginia, Jindal, Disha, Chen, Peter, Dikkala, Nishanth, Tyen, Gladys, Liu, Xin, Shalit, Uri, Chiappa, Silvia, Olszewska, Kate, Tay, Yi, Tran, Vinh Q., Le, Quoc V., Firat, Orhan

  14. PaperBench: Evaluating AI's Ability to Replicate AI Research — published result table ↗

    Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin et al. · 2025

    All 13 authors

    Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin, Rachel Dias, Evan Mays, Benjamin Kinsella, Wyatt Thompson, Johannes Heidecke, Amelia Glaese, Tejal Patwardhan

  15. Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving — published result table ↗

    Daoguang Zan, Zhirong Huang, Wei Liu, Hanwu Chen, Linhao Zhang, Shulin Xin et al. · 2025

    All 19 authors

    Daoguang Zan, Zhirong Huang, Wei Liu, Hanwu Chen, Linhao Zhang, Shulin Xin, Lu Chen, Qi Liu, Xiaojian Zhong, Aoyan Li, Siyao Liu, Yongsheng Xiao, Liangqiang Chen, Yuyu Zhang, Jing Su, Tianyu Liu, Rui Long, Kai Shen, Liang Xiang

  16. LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? — published result table ↗

    Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He et al. · 2025

    All 19 authors

    Zihan Zheng, Zerui Cheng, Zeyu Shen, Shang Zhou, Kaiyuan Liu, Hansen He, Dongruixuan Li, Stanley Wei, Hangyi Hao, Jianzhu Yao, Peiyao Sheng, Zixuan Wang, Wenhao Chai, Aleksandra Korolova, Peter Henderson, Sanjeev Arora, Pramod Viswanath, Jingbo Shang, Saining Xie

  17. TextQuests: How Good are LLMs at Text-Based Video Games? — published result table ↗

    Phan, Long, Mazeika, Mantas, Zou, Andy, Hendrycks, Dan · 2025

  18. CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning — published result table ↗

    Deason, Lauren, Bali, Adam, Bejean, Ciprian, Bolocan, Diana, Crnkovich, James, Croitoru, Ioana et al. · 2025

    All 23 authors

    Deason, Lauren, Bali, Adam, Bejean, Ciprian, Bolocan, Diana, Crnkovich, James, Croitoru, Ioana, Durai, Krishna, Midler, Chase, Miron, Calin, Molnar, David, Moon, Brad, Ostarcevic, Bruno, Peltea, Alberto, Rosenberg, Matt, Sandu, Catalin, Saputkin, Arthur, Shah, Sagar, Stan, Daniel, Szocs, Ernest, Wan, Shengye, Whitman, Spencer, Krasser, Sven, Saxe, Joshua

  19. BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ↗

    Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir et al. · 2024

    All 13 authors

    Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir, Pignatelli, Eduardo, Kuciński, Łukasz, Pinto, Lerrel, Fergus, Rob, Foerster, Jakob Nicolaus, Parker-Holder, Jack, Rocktäschel, Tim

  20. Algotune — methodology and published results ↗

    Epoch AI · 2026

  21. ARC-AGI-2 ↗

    Epoch AI

  22. CritPt v1 ↗

    Epoch AI

  23. GPQA Diamond ↗

    Epoch AI

  24. MATH Level 5 ↗

    Epoch AI

  25. OTIS Mock AIME 2024-2025 ↗

    Epoch AI

  26. SimpleBench ↗

    Epoch AI

  27. AI benchmarks & capabilities ↗

    Epoch AI

  28. Fiction.liveBench — March 14, 2025 benchmark release ↗

    Fiction.live · 2025

  29. Writing benchmark — incorporating mandatory story elements ↗

    lechmazur

  30. WeirdML ↗

    Håvard Tveit Ihle

  31. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  32. LiveBench — model evaluation leaderboard ↗

    LiveBench Team

  33. Measuring AI Ability to Complete Long Software Tasks ↗

    METR

  34. Seed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement Learning ↗

    ByteDance Seed · 2025

  35. BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese — published result table ↗

    Peilin Zhou, Bruce Leon, Xiang Ying, Can Zhang, Yifan Shao, Qichen Ye et al. · 2025

    All 16 authors

    Peilin Zhou, Bruce Leon, Xiang Ying, Can Zhang, Yifan Shao, Qichen Ye, Dading Chong, Zhiling Jin, Chenxuan Xie, Meng Cao, Yuxin Gu, Sixin Hong, Jing Ren, Jian Chen, Chao Liu, Yining Hua

  36. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines — published result table ↗

    M-A-P Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng et al. · 2025

    All 97 authors

    M-A-P Team, Xinrun Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shawn Gavin, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, David Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tyshawn Hsing, Ming Xu, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Chengtuo Cheng, Tianhao Cheng, Keyi Ding, Siming Huang, Yun Huang, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Tianyang Pang, Zhongyuan Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, Chenqing Wang, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, Chenghua Zhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

  37. RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style — published result table ↗

    Liu, Yantao, Yao, Zijun, Min, Rui, Cao, Yixin, Hou, Lei, Li, Juanzi · 2024

  38. PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change — published result table ↗

    Karthik Valmeekam, Matthew Marquez, Alberto Olmo, Sarath Sreedharan, Subbarao Kambhampati · 2022

  39. AIME — evaluation methodology and results ↗

    Vals AI · 2026

  40. CorpFin — evaluation methodology and results ↗

    Vals AI · 2026

  41. LiveCodeBench — evaluation methodology and results ↗

    Vals AI · 2026

  42. LegalBench — evaluation methodology and results ↗

    Vals AI · 2026

  43. MATH 500 — evaluation methodology and results ↗

    Vals AI · 2026

  44. MedQA — evaluation methodology and results ↗

    Vals AI · 2026

  45. MGSM — evaluation methodology and results ↗

    Vals AI · 2026

  46. MMLU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  47. TaxEval — evaluation methodology and results ↗

    Vals AI · 2026

Names used in source tables

DeepSeek R1 · DeepSeek R1 (high) · DeepSeek-R1 · DeepSeek-R1† · Deepseek R1 · Deepseek-R1