A newer LiveCodeBench slice used in provider comparison tables to benchmark contamination-resistant coding performance on fresher competitive programming sets.
As of March 2026, Qwen3.6 Plus leads the LiveCodeBench v6 leaderboard with 87.1% , followed by GLM-5 (85.6%) and Kimi K2.5 (85.6%).
Qwen3.6 Plus
Alibaba
GLM-5
Zhipu AI
Kimi K2.5
Moonshot AI
According to BenchLM.ai, Qwen3.6 Plus leads the LiveCodeBench v6 benchmark with a score of 87.1%, followed by GLM-5 (85.6%) and Kimi K2.5 (85.6%). The top models are clustered within 1.5 points, suggesting this benchmark is nearing saturation for frontier models.
5 models have been evaluated on LiveCodeBench v6. The benchmark falls in the Coding category. This category carries a 20% weight in BenchLM.ai's overall scoring system. LiveCodeBench v6 is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
Year
2026
Tasks
Fresh programming problems
Format
Competitive programming
Difficulty
Competitive programming level
Providers often publish a specific LiveCodeBench release or season instead of the rolling aggregate. BenchLM tracks the v6 slice separately so exact first-party values remain visible without overwriting the broader LiveCodeBench row.
Qwen3.6 launch benchmarksVersion
LiveCodeBench v6 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
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 newer LiveCodeBench slice used in provider comparison tables to benchmark contamination-resistant coding performance on fresher competitive programming sets.
Qwen3.6 Plus by Alibaba currently leads with a score of 87.1% on LiveCodeBench v6.
5 AI models have been evaluated on LiveCodeBench v6 on BenchLM.
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