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++.
Kimi K2.6 from Moonshot AI currently leads the OJBench leaderboard with a score of 0.606 across 9 evaluated AI models.
Kimi K2.6 leads with 60.6%, followed by Kimi K2-Thinking-0905 at 48.7% and 
Qwen3.5-27B at 40.1%.
Progress Over Time
Interactive timeline showing model performance evolution on OJBench
OJBench Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Moonshot AI | 1.0T | 262K | $0.95 / $4.00 | ||
| 2 | Moonshot AI | 1.0T | — | — | ||
| 3 |  Alibaba Cloud / Qwen Team | 27B | 262K | $0.30 / $2.40 | ||
| 4 | Alibaba Cloud / Qwen Team | 122B | 262K | $0.40 / $3.20 | ||
| 5 | Alibaba Cloud / Qwen Team | 35B | 262K | $0.25 / $2.00 | ||
| 6 | Alibaba Cloud / Qwen Team | 235B | 262K | $0.30 / $3.00 | ||
| 7 | Alibaba Cloud / Qwen Team | 80B | 66K | $0.15 / $1.50 | ||
| 8 | Moonshot AI | 1.0T | — | — | ||
| 8 | Moonshot AI | 1.0T | 200K | $0.50 / $0.50 |
FAQ
Common questions about OJBench.
Sub-benchmarks
More evaluations to explore
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