A continuously updated benchmark using fresh competitive programming problems from LeetCode, Codeforces, and AtCoder to provide contamination-free code generation evaluation.
As of April 21, 2026, Kimi 2.6 leads the LiveCodeBench leaderboard with 89.6% , followed by Kimi K2.5 (85%) and GLM-4.7 (84.9%).
Kimi 2.6
Moonshot AI
Kimi K2.5
Moonshot AI
GLM-4.7
Z.AI
According to BenchLM.ai, Kimi 2.6 leads the LiveCodeBench benchmark with a score of 89.6%, followed by Kimi K2.5 (85%) and GLM-4.7 (84.9%). There is significant spread across the leaderboard, making this benchmark effective at differentiating model capabilities.
5 models have been evaluated on LiveCodeBench. The benchmark falls in the Coding category. This category carries a 20% weight in BenchLM.ai's overall scoring system. Within that category, LiveCodeBench contributes 23% of the category score, so strong performance here directly affects a model's overall ranking.
Year
2024
Tasks
Continuously updated
Format
Competitive programming
Difficulty
Competitive programming level
LiveCodeBench addresses data contamination concerns by continuously sourcing new problems from competitive programming platforms. It evaluates code generation, self-repair, code execution, and test output prediction.
Version
Rolling 2026 set
Refresh cadence
Rolling
Staleness state
Current
Question availability
Delayed public release
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
A continuously updated benchmark using fresh competitive programming problems from LeetCode, Codeforces, and AtCoder to provide contamination-free code generation evaluation.
Kimi 2.6 by Moonshot AI currently leads with a score of 89.6% on LiveCodeBench.
5 AI models have been evaluated on LiveCodeBench on BenchLM.
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