OJBench
Models write C++ or Python solutions to 232 competition problems from NOI and ICPC. Judge test cases score each solution by pass@1.
- Released
- June 2025
- Kind
- Competitive programming
- Level
- Competition
- Scored
- Checked automatically
- Answers
- Code
- Tasks
- All public
- Strongest model tested
- Claude Opus 4.6 #37 on the capability index
- Last in a launch post
- May 2026, dropped before it saturated
- Last model added
- June 2026
- Scores refreshed
- November 12th, 2026
In the authors’ words
Recent advancements in large language models (LLMs) have demonstrated significant progress in math and code reasoning capabilities. However, existing code benchmark are limited in their ability to evaluate the full spectrum of these capabilities, particularly at the competitive level. To bridge this gap, we introduce OJBench, a novel and challenging benchmark designed to assess the competitive-level code reasoning abilities of LLMs. OJBench comprises 232 programming competition problems from NOI and ICPC, providing a more rigorous test of models' reasoning skills. We conducted a comprehensive evaluation using OJBench on 37 models, including both closed-source and open-source models, reasoning-oriented and non-reasoning-oriented models. Our results indicate that even state-of-the-art reasoning-oriented models, such as o4-mini and Gemini-2.5-pro-exp, struggle with highly challenging competition-level problems. This highlights the significant challenges that models face in competitive-level code reasoning.
Gemini 3 Pro leads with 70% among models released by February 2026
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best.
Keye-VL-2.0-30B-A3B leads with 71.5%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
The newest model with a score here came out in February 2026, and nobody has tested a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- Claude Fable 5.2
-
Gemini 4 Carbon
- GPT-6 Astra
- Claude Opus 5.5
- and 16 more
- 1
Gemini 3 Pro 70%
- 2 Claude Opus 4.6 thinking 67.2%
- 3 Kimi K2.5 thinking 57%
- 4 GLM-5 54.9%
- 5
Seed2.0 Pro 54.9%
- 6
DeepSeek-V3.2 51.7%
- 7 GLM-4.7 50.8%
- 8
MiniMax-M2.5 41.4%
Source: Official OJBench leaderboard
- 71.5
Keye-VL-2.0-30B-A3B
- 70.0
Gemini 3 Pro
- 67.2 Claude Opus 4.6
- 60.6 Kimi K2.6
- 57.4 Kimi K2.5
- 54.9 GLM-5
- 54.9
Seed2.0 Pro
- 51.7
DeepSeek-V3.2
- 50.8 GLM-4.7
- 48.7 Kimi K2 Thinking
- 42.2
LongCat-Flash-Thinking-2601
- 41.4
MiniMax-M2.5
- 40.7
LongCat-Flash-Thinking
- 40.1
Qwen3.5-27B
- 39.5
Qwen3.5-122B-A10B
- 36.0
Qwen3.5-35B-A3B
- 32.5
Qwen3-235B-A22B-Thinking
- 29.7
Qwen3-Next-80B-A3B
- 29.2
Qwen3.5-9B
- 27.5
Qwen3-VL-235B-A22B
- 27.1 Kimi K2
- 24.1
Qwen3.5-4B
- 23.0
Qwen3-Coder-Next
- 1
Keye-VL-2.0-30B-A3B 71.5%
- 2
Gemini 3 Pro 70%
- 3 Claude Opus 4.6 thinking 67.2%
- 4 Kimi K2.6 60.6%
- 5 Kimi K2.5 57.4%
- 6 GLM-5 54.9%
- 7
Seed2.0 Pro 54.9%
- 8
DeepSeek-V3.2 51.7%
- 9 GLM-4.7 50.8%
- 10 Kimi K2 Thinking 48.7%
- 11
LongCat-Flash-Thinking-2601 42.2%
- 12
MiniMax-M2.5 41.4%
- 13
LongCat-Flash-Thinking 40.7%
- 14
Qwen3.5-27B 40.1%
- 15
Qwen3.5-122B-A10B 39.5%
- 16
Qwen3.5-35B-A3B 36%
- 17
Qwen3-235B-A22B-Thinking Jul 2025 32.5%
- 18
Qwen3-Next-80B-A3B 29.7%
- 19
Qwen3.5-9B 29.2%
- 20
Qwen3-VL-235B-A22B 27.5%
- 21 Kimi K2 Jul 2025 27.1%
- 22
Qwen3.5-4B 24.1%
- 23
Qwen3-Coder-Next 23%
Sources: Labs’ model cards and official OJBench leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 70% | Nov 2025 | Official leaderboard | |
| 2 | Claude Opus 4.6 | 67.2% | thinking | Feb 2026 | Official leaderboard |
| 3 | Kimi K2.5 | 57% | thinking | Jan 2026 | Official leaderboard |
| 4 | GLM-5 | 54.9% | Feb 2026 | Official leaderboard | |
| 5 | | 54.9% | Feb 2026 | Official leaderboard | |
| 6 | | 51.7% | Dec 2025 | Official leaderboard | |
| 7 | GLM-4.7 | 50.8% | Dec 2025 | Official leaderboard | |
| 8 | | 41.4% | Feb 2026 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 71.5% | Jun 2026 | Lab model card | |
| 2 | | 70% | Nov 2025 | Official leaderboard | |
| 3 | Claude Opus 4.6 | 67.2% | thinking | Feb 2026 | Official leaderboard |
| 4 | Kimi K2.6 | 60.6% | Apr 2026 | Lab model card | |
| 5 | Kimi K2.5 | 57.4% | Jan 2026 | Lab model card | |
| 6 | GLM-5 | 54.9% | Feb 2026 | Official leaderboard | |
| 7 | | 54.9% | Feb 2026 | Official leaderboard | |
| 8 | | 51.7% | Dec 2025 | Official leaderboard | |
| 9 | GLM-4.7 | 50.8% | Dec 2025 | Official leaderboard | |
| 10 | Kimi K2 Thinking | 48.7% | Nov 2025 | Lab model card | |
| 11 | | 42.2% | Jan 2026 | Lab model card | |
| 12 | | 41.4% | Feb 2026 | Official leaderboard | |
| 13 | | 40.7% | Sep 2025 | Lab model card | |
| 14 | | 40.1% | Feb 2026 | Lab model card | |
| 15 | | 39.5% | Feb 2026 | Lab model card | |
| 16 | | 36% | Feb 2026 | Lab model card | |
| 17 | | 32.5% | Jul 2025 | Lab model card | |
| 18 | | 29.7% | Sep 2025 | Lab model card | |
| 19 | | 29.2% | Mar 2026 | Lab model card | |
| 20 | | 27.5% | Nov 2025 | Lab model card | |
| 21 | Kimi K2 Jul 2025 | 27.1% | Jul 2025 | Lab model card | |
| 22 | | 24.1% | Mar 2026 | Lab model card | |
| 23 | | 23% | Feb 2026 | Lab model card |
Labs report scores for 16 models in their cards. Switch the scores above to rank them together.
Number one over time 6 models have held number one with claims included since its release in June 2025
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for the benchmark’s own leaderboard and what labs claim in their cards.
Sources: Official OJBench leaderboard and labs’ model cards
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Official OJBench leaderboard and labs’ model cards
Labs headline it less often now, last in May 2026
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| May 25, 2026 | 39.2 | OJBench | |
| Apr 20, 2026 | Kimi K2.6 | 60.6 | OJBench (python) |
| Mar 2, 2026 | 24.1 | OJBench | |
| Mar 2, 2026 | 29.2 | OJBench | |
| Feb 24, 2026 | 36 | OJBench | |
| Feb 24, 2026 | 40.1 | OJBench | |
| Feb 24, 2026 | 39.5 | OJBench | |
| Jan 27, 2026 | Kimi K2.5 | 57.4 | OJBench (cpp) |
| Jan 14, 2026 | 42.2 | OJBench (Pass@1) | |
| Nov 6, 2025 | Kimi K2 Thinking | 48.7 | OJ-Bench (cpp), no tools |
| Sep 21, 2025 | 40.7 | OJBench(Mean@1) | |
| Sep 11, 2025 | 29.7 | OJBench | |
| Jul 25, 2025 | 32.5 | OJBench | |
| Jul 11, 2025 | Kimi K2 | 27.1 | OJBench, Pass@1 |
7 system cards report it, from 4 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Jun 9, 2026 | | 71.5 | OJBench (Table 3 and Section 6.2.1 text). Figure 5 prints 39.2 for the same row | Capabilities |
| Feb 28, 2026 | | 23 | OJBench (Table 6) | Capabilities |
| Jan 30, 2026 | Kimi K2.5 technical report | 57.4 | OJBench (cpp) (Table 4) | Capabilities |
| Jan 23, 2026 | | 42.2 | OJBench (Pass@1) (Table 2) | Capabilities |
| Nov 26, 2025 | | 27.5 | OJBench (Table 6) | Capabilities |
| Sep 23, 2025 | | 40.7 | OJBench(Mean@1) (Table 2) | Capabilities |
| Jul 21, 2025 | Kimi K2 technical report | 27.1 | OJBench (Pass@1) (Table 3) | Capabilities |
One lab claim next to the leaderboard
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.
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