AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

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++.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

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.

Original sources

Reported results 9

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Kimi K2.60.606Not recordedNot recorded2026-04-20 · model_announcementLLM Stats
Kimi K2-Thinking-09050.487Not recordedNot recorded2025-09-05 · model_announcementLLM Stats
Qwen3.5-27B0.401Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Qwen3.5-122B-A10B0.395Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Qwen3.5-35B-A3B0.36Not recordedNot recorded2026-02-24 · model_announcementLLM Stats
Qwen3-235B-A22B-Thinking-25070.325Not recordedNot recorded2025-07-25 · model_announcementLLM Stats
Qwen3-Next-80B-A3B-Thinking0.297Not recordedNot recorded2025-09-10 · model_announcementLLM Stats
Kimi K2-Instruct-09050.271Not recordedNot recorded2025-09-05 · model_announcementLLM Stats
Kimi K2 Instruct0.271Not recordedNot recorded2025-07-11 · model_announcementLLM Stats