EVL
LiveCodeBench
Contamination-free coding
What this measures
Competitive-programming problems collected *after* models were trained, so they can't have memorized the answers — a contamination-free measure of real coding skill.
Sample
A recent LeetCode/Codeforces-style problem (e.g., 'find the longest path in a weighted DAG') with full test suites.
Leaderboard · 98 models
pass@1 on held-out, time-stamped problems — higher is betterBenchmark health
saturatingTop models cluster near the ceiling — differences here are getting too small to mean much. Weight newer, harder benchmarks more.
88.5
top-10 mean
91.7
best
98
models
Research using this benchmark
all →VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language ModelsMulti-LCB: Extending LiveCodeBench to Multiple Programming LanguagesBenchEvolver: Frontier Task Synthesis via Solution-Centric EvolutionREVES: REvision and VErification--Augmented Training for Test-Time ScalingQwen2 Technical Report
Matched by name in title/abstract.