RLTasksby ulam.ai
Models / OpenAI

OpenAI / MODEL EVIDENCE

o3-mini

46 benchmarks · 76 observations · 48 sources · released 2025-01-31

Scores at a glance

46 benchmarks · large dot: o3-mini; small dots: closest models where reported

CadEval ↗54%
1274

o3-mini (medium) · CadEval · Overall pass (%) · % ↗

Cybench ↗22.5%
555

o3-mini (medium) · Cybench · Unguided % Solved · % ↗

CritPt ↗0.29%
032.29

o3-mini (high) · CritPt · Accuracy · % ↗

LMCA ↗18.97%
2.7868.26

o3-mini (high) · LMCA · Score · % ↗

DTBench ↗68.8%
41.6598.93

o3-mini (high) · DTBench · Accuracy · % ↗

Fortress ↗30.05%
5.7874.39

o3-mini · Scale Labs · Risk elicitation score ↗

MedAgentBench ↗51.67%
469.67

o3-mini · MedAgentBench · Overall task success · original evaluation ↗

LiveCodeBench Pro ↗1 Elo
1999

o3-mini · LiveCodeBench Pro · Elo rating · human contest calibration ↗

3 more reported results

0% · o3-mini · LiveCodeBench Pro · Hard · pass@1 · difficulty breakdown · LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? ↗

16.9% · o3-mini · LiveCodeBench Pro · Medium · pass@1 · difficulty breakdown · LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? ↗

77.5% · o3-mini · LiveCodeBench Pro · Easy · pass@1 · difficulty breakdown · LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? ↗

SimpleQA ↗13.4%
7.662.5

o3-mini · SimpleQA · Correct answers · OpenAI Simple Evals · archived July 2025 ↗

HumanEval ↗96.3%
71.599.3

o3-mini · HumanEval · Pass@1 · OpenAI Simple Evals · archived July 2025 ↗

Closest models by score

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

12.8 percentile-point gap

10 of 16 shared benchmark comparisons

14.9 percentile-point gap

10 of 16 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.

Filter comparisons to this model →

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. MATH-500 Benchmark | Artificial Analysis ↗

    Artificial Analysis

  5. SciCode Benchmark | Artificial Analysis ↗

    Artificial Analysis

  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. MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents — published result table ↗

    Jiang, Yixing, Black, Kameron C., Geng, Gloria, Park, Danny, Zou, James, Ng, Andrew Y. et al. · 2025

    All 7 authors

    Jiang, Yixing, Black, Kameron C., Geng, Gloria, Park, Danny, Zou, James, Ng, Andrew Y., Chen, Jonathan H.

  8. 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

  9. 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

  10. 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

  11. 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

  12. DTBench — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  13. LMCA — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  14. Cybench: A Framework for Evaluating Cybersecurity Capabilities and Risks of Language Models ↗

    Zhang, Andy K., Perry, Neil, Dulepet, Riya, Ji, Joey, Menders, Celeste, Lin, Justin W. et al. · 2024

    All 27 authors

    Zhang, Andy K., Perry, Neil, Dulepet, Riya, Ji, Joey, Menders, Celeste, Lin, Justin W., Jones, Eliot, Hussein, Gashon, Liu, Samantha, Jasper, Donovan, Peetathawatchai, Pura, Glenn, Ari, Sivashankar, Vikram, Zamoshchin, Daniel, Glikbarg, Leo, Askaryar, Derek, Yang, Mike, Zhang, Teddy, Alluri, Rishi, Tran, Nathan, Sangpisit, Rinnara, Yiorkadjis, Polycarpos, Osele, Kenny, Raghupathi, Gautham, Boneh, Dan, Ho, Daniel E., Liang, Percy

  15. ARC-AGI-2 ↗

    Epoch AI

  16. Chess Puzzles ↗

    Epoch AI

  17. CritPt v1 ↗

    Epoch AI

  18. FrontierMath Tier 4 (v1, old) ↗

    Epoch AI

  19. FrontierMath Tier 4 (v2) ↗

    Epoch AI

  20. FrontierMath Tiers 1-3 (v1, old) ↗

    Epoch AI

  21. FrontierMath Tiers 1-3 (v2) ↗

    Epoch AI

  22. GPQA Diamond ↗

    Epoch AI

  23. MATH Level 5 ↗

    Epoch AI

  24. Mystery Game Puzzles ↗

    Epoch AI

  25. OTIS Mock AIME 2024-2025 ↗

    Epoch AI

  26. SimpleQA Verified ↗

    Epoch AI

  27. SimpleBench ↗

    Epoch AI

  28. Capabilities & benchmarking — retained external evaluation records ↗

    Epoch AI · 2026

  29. AI benchmarks & capabilities ↗

    Epoch AI

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

    Fiction.live · 2025

  31. Writing benchmark — incorporating mandatory story elements ↗

    lechmazur

  32. GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents ↗

    Shetty, Manish, Jain, Naman, Liu, Jinjian, Kethanaboyina, Vijay, Sen, Koushik, Stoica, Ion · 2025

  33. WeirdML ↗

    Håvard Tveit Ihle

  34. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  35. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  36. LiveBench — model evaluation leaderboard ↗

    LiveBench Team

  37. Simple Evals — model benchmark results ↗

    OpenAI · 2025

  38. CadEval Dashboard — run 20250422_095709 ↗

    willpatrick · 2025

  39. AIME — evaluation methodology and results ↗

    Vals AI · 2026

  40. CorpFin — evaluation methodology and results ↗

    Vals AI · 2026

  41. GPQA Diamond — evaluation methodology and results ↗

    Vals AI · 2026

  42. LiveCodeBench — evaluation methodology and results ↗

    Vals AI · 2026

  43. LegalBench — evaluation methodology and results ↗

    Vals AI · 2026

  44. MATH 500 — evaluation methodology and results ↗

    Vals AI · 2026

  45. MedQA — evaluation methodology and results ↗

    Vals AI · 2026

  46. MGSM — evaluation methodology and results ↗

    Vals AI · 2026

  47. MMLU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  48. TaxEval — evaluation methodology and results ↗

    Vals AI · 2026

Names used in source tables

o3 Mini · o3 mini (High) · o3 mini (Low) · o3 mini (Medium) · o3-mini · o3-mini (High) · o3-mini (high) · o3-mini (low) · o3-mini (medium) · o3-mini‡