AI benchmarks and leaderboards are different things
Learn the difference between a benchmark, an evaluation run and a leaderboard, and use each to answer the right question.
LLM Stats
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++.
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
Shown in source observation order, not ranked. Dates retain the precision provided by the source.
| Model | Value | Unit | Protocol | Reported date and basis | Source |
|---|---|---|---|---|---|
| Kimi K2.6 | 0.606 | Not recorded | Not recorded | 2026-04-20 · model_announcement | LLM Stats |
| Kimi K2-Thinking-0905 | 0.487 | Not recorded | Not recorded | 2025-09-05 · model_announcement | LLM Stats |
| Qwen3.5-27B | 0.401 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-122B-A10B | 0.395 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3.5-35B-A3B | 0.36 | Not recorded | Not recorded | 2026-02-24 · model_announcement | LLM Stats |
| Qwen3-235B-A22B-Thinking-2507 | 0.325 | Not recorded | Not recorded | 2025-07-25 · model_announcement | LLM Stats |
| Qwen3-Next-80B-A3B-Thinking | 0.297 | Not recorded | Not recorded | 2025-09-10 · model_announcement | LLM Stats |
| Kimi K2-Instruct-0905 | 0.271 | Not recorded | Not recorded | 2025-09-05 · model_announcement | LLM Stats |
| Kimi K2 Instruct | 0.271 | Not recorded | Not recorded | 2025-07-11 · model_announcement | LLM Stats |