Gemini 2.5 Pro

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. Global-MMLU-Lite Benchmark | Artificial Analysis ↗

   Artificial Analysis

2. LiveCodeBench Benchmark | Artificial Analysis ↗

   Artificial Analysis

3. MATH-500 Benchmark | Artificial Analysis ↗

   Artificial Analysis

4. MMLU-Pro Benchmark | Artificial Analysis ↗

   Artificial Analysis

5. PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts — published result table ↗

   Yiming Wang, Pei Zhang, Jialong Tang, Haoran Wei, Baosong Yang, Rui Wang et al. · 2025

   All 16 authors

   Yiming Wang, Pei Zhang, Jialong Tang, Haoran Wei, Baosong Yang, Rui Wang, Chenshu Sun, Feitong Sun, Jiran Zhang, Junxuan Wu, Qiqian Cang, Yichang Zhang, Fei Huang, Junyang Lin, Fei Huang, Jingren Zhou

6. SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models — published result table ↗

   Pham, Thinh, Nguyen, Nguyen, Zunjare, Pratibha, Chen, Weiyuan, Tseng, Yu-Min, Vu, Tu · 2025

7. 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

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

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

9. 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

10. CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers — published result table ↗

    Pan, Haining, Roggeveen, James V., Berg, Erez, Carrasquilla, Juan, Chowdhury, Debanjan, Ganguli, Surya et al. · 2025

    All 19 authors

    Pan, Haining, Roggeveen, James V., Berg, Erez, Carrasquilla, Juan, Chowdhury, Debanjan, Ganguli, Surya, Ghimenti, Federico, Hasik, Juraj, Hunt, Henry, Jiang, Hong-Chen, Kamb, Mason, Kao, Ying-Jer, Khatami, Ehsan, Lawler, Michael J., Luo, Di, Neupert, Titus, Qi, Xiaoliang, Brenner, Michael P., Kim, Eun-Ah

11. Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments — published result table ↗

    Froger, Romain, Andrews, Pierre, Bettini, Matteo, Budhiraja, Amar, Cabral, Ricardo Silveira, Do, Virginie et al. · 2026

    All 24 authors

    Froger, Romain, Andrews, Pierre, Bettini, Matteo, Budhiraja, Amar, Cabral, Ricardo Silveira, Do, Virginie, Garreau, Emilien, Gaya, Jean-Baptiste, Laurençon, Hugo, Lecanu, Maxime, Malkan, Kunal, Mekala, Dheeraj, Ménard, Pierre, Bertran, Gerard Moreno-Torres, Piterbarg, Ulyana, Plekhanov, Mikhail, Rita, Mathieu, Rusakov, Andrey, Vorotilov, Vladislav, Wang, Mengjue, Yu, Ian, Benhalloum, Amine, Mialon, Grégoire, Scialom, Thomas

12. Algotune — methodology and published results ↗

    Epoch AI · 2026

13. Forecastbench — methodology and published results ↗

    Epoch AI · 2026

14. Vending Bench 2 — methodology and published results ↗

    Epoch AI · 2026

15. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

16. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

17. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

18. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

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

    ByteDance Seed · 2025

20. 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

21. A Rosetta Stone for AI Benchmarks — released Epoch evaluation runs ↗

    Epoch AI · 2025

22. CaseLaw — evaluation methodology and results ↗

    Vals AI · 2026

23. CorpFin — evaluation methodology and results ↗

    Vals AI · 2026

24. MedCode — evaluation methodology and results ↗

    Vals AI · 2026

25. MedScribe — evaluation methodology and results ↗

    Vals AI · 2026

26. MortgageTax — evaluation methodology and results ↗

    Vals AI · 2026

27. Poker Agent — evaluation methodology and results ↗

    Vals AI · 2026

28. SAGE — evaluation methodology and results ↗

    Vals AI · 2026

29. SWE-bench Verified — evaluation methodology and results ↗

    Vals AI · 2026

30. Vibe Code Bench — evaluation methodology and results ↗

    Vals AI · 2026