DeepSeek-R1 · GPQA diamond · Best score (across scorers) · % ↗
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
DeepSeek-R1 · MATH level 5 · Best score (across scorers) · % ↗
DeepSeek-R1 · OTIS Mock AIME 2024-2025 · Best score (across scorers) · % ↗
DeepSeek R1 · Aider coding benchmarks · Polyglot · percent correct ↗
1 more reported result
56.9% · DeepSeek-R1 · Aider coding benchmarks · Polyglot · percent correct · Epoch AI · Aider polyglot ↗
DeepSeek-R1 · ARC-AGI · Score · % ↗
DeepSeek-R1 · Balrog · Average progress · % ↗
DeepSeek-R1 · Fiction.LiveBench · 16k token score · % ↗
DeepSeek-R1 · Lech Mazur Writing · Mean rubric score / 10 ↗
DeepSeek-R1 · SimpleBench · Score (AVG@5) · % ↗
DeepSeek-R1 · WeirdML · Accuracy · % ↗
DeepSeek-R1 · ARC-AGI-2 · Score · % ↗
DeepSeek-R1 · CritPt · Accuracy · % ↗
DeepSeek-R1 · METR task performance & time horizons · Average task accuracy ↗
1 more reported result
26.9326 minutes · DeepSeek-R1 · METR task performance & time horizons · 50% success task horizon · Epoch AI · METR Autonomy / Task-Horizon Suite · public result data ↗
DeepSeek-R1 · LiveBench · Global average · % ↗
DeepSeek-R1 · SciCode · Score · % ↗
DeepSeek-R1 · General ECI · 26 October 2026 fit ↗
DeepSeek R1 · LegalBench · Accuracy ↗
DeepSeek R1 · CorpFin · Accuracy ↗
DeepSeek R1 · TaxEval · Accuracy ↗
DeepSeek R1 · MedQA · Accuracy ↗
DeepSeek R1 · AIME · Accuracy ↗
DeepSeek R1 · MATH 500 · Accuracy ↗
DeepSeek R1 · MGSM · Accuracy ↗
DeepSeek R1 · MMLU Pro · Accuracy ↗
DeepSeek R1 · LiveCodeBench · Accuracy ↗
DeepSeek R1 · Scale Labs · Risk elicitation score ↗
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 ↗
DeepSeek-R1 · BrowseComp-ZH · Answer accuracy · original comparison ↗
DeepSeek-R1 · SuperGPQA · Sample-weighted accuracy · reasoning, chat and base-model cohorts ↗
DeepSeek-R1 · ZebraLogic · Grid-level accuracy · complete puzzles ↗
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 ↗
DeepSeek-R1 · MedXpertQA (Text & MM) · Text-only models ↗
DeepSeek R1 · SimpleQA · Correct answers · DeepSeek-R1 technical report · comparison ↗
DeepSeek R1 · Arena-Hard · Win rate · GPT-4-1106 reference · DeepSeek-R1 technical report · comparison ↗
DeepSeek R1 · CNMO (Chinese National Math Olympiad) · CNMO 2024 · pass@1 · DeepSeek-R1 technical report · comparison ↗
DeepSeek R1 · Chinese SimpleQA · Correct answers · DeepSeek-R1 technical report · comparison ↗
DeepSeek R1 · AlpacaEval 2.0 (Length-Controlled) · Length-controlled win rate · DeepSeek-R1 technical report · comparison ↗
DeepSeek R1 · AIME 2024 · Pass@1 · DeepSeek-R1 technical report · comparison ↗
DeepSeek R1 · RM-Bench · Overall accuracy · official leaderboard ↗
DeepSeek-R1 · PaperBench · Average replication score · BasicAgent ↗
Deepseek-R1 · JudgeBench · Overall pairwise accuracy · Arena-Hard judge scaffold ↗
DeepSeek R1 · BIG-Bench Extra Hard (BBEH) · Overall accuracy · original model comparison ↗
DeepSeek-R1† · PRMBench · Overall PRMScore · original evaluation ↗
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? ↗
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 ↗
DeepSeek R1 · KernelBench · Level 1 · fast_1 vs torch.compile default · NVIDIA L40S comparison ↗
2 more reported results
37% · DeepSeek R1 · KernelBench · Level 2 · fast_1 vs torch.compile default · NVIDIA L40S comparison · KernelBench: Can LLMs Write Efficient GPU Kernels? ↗
2% · DeepSeek R1 · KernelBench · Level 3 · fast_1 vs torch.compile default · NVIDIA L40S comparison · KernelBench: Can LLMs Write Efficient GPU Kernels? ↗
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 ↗
DeepSeek R1 · TextQuests · No clues · game progress · source 500-step protocol ↗
1 more reported result
23.8% · DeepSeek R1 · TextQuests · With clues · game progress · source 500-step protocol · TextQuests: How Good are LLMs at Text-Based Video Games? ↗
DeepSeek R1 · BeyondAIME · accuracy · Seed-Thinking-v1.5 · published comparison ↗
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 ↗
DeepSeek R1 (high) · Harmonic-mean speedup ↗
Closest models by score
Similar positions on shared benchmark leaderboards. Smaller gaps are closer.
8 of 13 shared benchmark comparisons
8 of 13 shared benchmark comparisons
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.
- Aider code editing benchmark ↗
- Aider LLM Leaderboards — Polyglot coding benchmark ↗
- ARC Prize - Leaderboard ↗
- SciCode Benchmark | Artificial Analysis ↗
- CFBench: A Comprehensive Constraints-Following Benchmark for LLMs — published result table ↗
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
- JudgeBench: A Benchmark for Evaluating LLM-based Judges — published result table ↗
All 8 authors
Sijun Tan, Siyuan Zhuang, Kyle Montgomery, William Y. Tang, Alejandro Cuadron, Chenguang Wang, Raluca Ada Popa, Ion Stoica
- PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models — published result table ↗
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning — published result table ↗
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
- MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding — published result table ↗
All 9 authors
Yuxin Zuo, Shang Qu, Yifei Li, Zhangren Chen, Xuekai Zhu, Ermo Hua, Kaiyan Zhang, Ning Ding, Bowen Zhou
- UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models — published result table ↗
All 9 authors
Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang
- ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning — published result table ↗
All 7 authors
Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, Ashish Sabharwal, Radha Poovendran, Peter Clark, Yejin Choi
- KernelBench: Can LLMs Write Efficient GPU Kernels? — published result table ↗
All 7 authors
Ouyang, Anne, Guo, Simon, Arora, Simran, Zhang, Alex L., Hu, William, Ré, Christopher, Mirhoseini, Azalia
- BIG-Bench Extra Hard — published result table ↗
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
- PaperBench: Evaluating AI's Ability to Replicate AI Research — published result table ↗
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
- Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving — published result table ↗
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
- LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? — published result table ↗
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
- TextQuests: How Good are LLMs at Text-Based Video Games? — published result table ↗
- CyberSOCEval: Benchmarking LLMs Capabilities for Malware Analysis and Threat Intelligence Reasoning — published result table ↗
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
- BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ↗
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
- Algotune — methodology and published results ↗
- ARC-AGI-2 ↗
- CritPt v1 ↗
- GPQA Diamond ↗
- MATH Level 5 ↗
- OTIS Mock AIME 2024-2025 ↗
- SimpleBench ↗
- AI benchmarks & capabilities ↗
- Fiction.liveBench — March 14, 2025 benchmark release ↗
- Writing benchmark — incorporating mandatory story elements ↗
- WeirdML ↗
- Scale Labs — evaluation methodology and results ↗
- LiveBench — model evaluation leaderboard ↗
- Measuring AI Ability to Complete Long Software Tasks ↗
- Seed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement Learning ↗
- BrowseComp-ZH: Benchmarking Web Browsing Ability of Large Language Models in Chinese — published result table ↗
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
- SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines — published result table ↗
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
- RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style — published result table ↗
- PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change — published result table ↗
- AIME — evaluation methodology and results ↗
- CorpFin — evaluation methodology and results ↗
- LiveCodeBench — evaluation methodology and results ↗
- LegalBench — evaluation methodology and results ↗
- MATH 500 — evaluation methodology and results ↗
- MedQA — evaluation methodology and results ↗
- MGSM — evaluation methodology and results ↗
- MMLU Pro — evaluation methodology and results ↗
- TaxEval — evaluation methodology and results ↗
Names used in source tables
DeepSeek R1 · DeepSeek R1 (high) · DeepSeek-R1 · DeepSeek-R1† · Deepseek R1 · Deepseek-R1