reasoning benchmark
OJBench
OJBench is a competition-level code benchmark designed to assess the competitive-level code reasoning abilities of large language models. It comprises 232 programming competition problems from NOI and ICPC, categorized into Easy, Medium, and Hard difficulty levels. The benchmark evaluates models' ability to solve complex competitive programming challenges using Python and C++.
Updated Aug 7, 2026
Published models9
Registry coverage9
MetricScore
EvidenceB
OJBench leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | MA | 60.6% | 100.0% | 9 | C | |
| 2 | MA | 48.7% | 87.5% | 9 | C | |
| 3 | AC | 40.1% | 75.0% | 9 | C | |
| 4 | AC | 39.5% | 62.5% | 9 | C | |
| 5 | AC | 36.0% | 50.0% | 9 | C | |
| 6 | AC | 32.5% | 37.5% | 9 | C | |
| 7 | AC | 29.7% | 25.0% | 9 | C | |
| 8 | MA | 27.1% | 12.5% | 9 | C | |
| 9 | MA | 27.1% | 0.0% | 9 | C |
Score distribution
Top published rows on the benchmark's original scale.
OJBench highlights
The top published results on this benchmark's own scale.
What is OJBench?
Definition and scoring fields from the benchmark registry.
OJBench is a competition-level code benchmark designed to assess the competitive-level code reasoning abilities of large language models. It comprises 232 programming competition problems from NOI and ICPC, categorized into Easy, Medium, and Hard difficulty levels. The benchmark evaluates models' ability to solve complex competitive programming challenges using Python and C++.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- OJBench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- ojbench|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about OJBench.
Which model scores highest on OJBench?
Kimi K2.6 is currently ranked first with 60.6%.
What does OJBench measure?
OJBench is a competition-level code benchmark designed to assess the competitive-level code reasoning abilities of large language models. It comprises 232 programming competition problems from NOI and ICPC, categorized into Easy, Medium, and Hard difficulty levels. The benchmark evaluates models' ability to solve complex competitive programming challenges using Python and C++.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
9 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.