A newer LiveCodeBench slice used in provider comparison tables to benchmark contamination-resistant coding performance on fresher competitive programming sets.
BenchLM mirrors the published score view for LiveCodeBench v6. Kimi K2.6 leads the public snapshot at 89.6% , followed by Qwen3.6 Plus (87.1%) and Kimi K2.5 (85.0%). BenchLM does not use these results to rank models overall.
Kimi K2.6
Moonshot AI
Qwen3.6 Plus
Alibaba
Kimi K2.5
Moonshot AI
The published LiveCodeBench v6 snapshot is tightly clustered at the top: Kimi K2.6 sits at 89.6%, while the third row is only 4.6 points behind. The broader top-10 spread is 23.9 points, so the benchmark still separates strong models even when the leaders cluster.
7 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.
Version
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.
Kimi K2.6 by Moonshot AI currently leads with a score of 89.6% on LiveCodeBench v6.
7 AI models have been evaluated on LiveCodeBench v6 on BenchLM.
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