reasoning benchmark
OJBench (C++) Leaderboard
OJBench (C++) is the C++ subset of OJBench for evaluating large language models on programming competition problems from NOI and ICPC.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
OJBench (C++) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score57.40% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
OJBench (C++) Highlights
The leading models and scores on this benchmark.
The Top AI Models for OJBench (C++)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis ojbench (c++) AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMoonshot AI
- Score
- 57.40%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures OJBench (C++), not total model capability
Selection summary
Best AI Models for OJBench (C++)
Kimi K2.5 currently leads OJBench (C++) with 57.40%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is OJBench (C++)?
What OJBench (C++) measures and how its scores work.
OJBench (C++) is a competition-level code benchmark using C++ as the implementation language.
It measures large language model performance on programming competition problems from NOI and ICPC using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OJBench (C++)
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OJBench (C++).
Which model scores highest on OJBench (C++)?
Kimi K2.5 is currently ranked first with 57.40%.
What are the top three models on OJBench (C++)?
The current leaders are Kimi K2.5 (57.40%).
Which OJBench (C++) model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among OJBench (C++) results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.