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Benchmark explainer

What is LiveCodeBench?

Competitive programming on problems released after typical training cutoffs

LiveCodeBench — a continuously updated code-generation benchmark pulling fresh problems from Codeforces/LeetCode/AtCoder after typical training cutoffs, scored as pass@1 (%); designed to stay contamination-resistant as the collection window advances.

AINTEGRITY 98 / 100tensor.news
consistent harnesspublic test set

How it's scored

Metric
pass@1
Score ceiling
100

How trustworthy

Discrimination

100/100

Does it still separate models?

Saturation headroom

91.8/100

How far from ceiling / clustered at the top?

Contamination resistance

100/100

Public vs held-out; training-leak risk.

Harness comparability

100/100

Is it apples-to-apples, or mixed / vendor-optimized?

Freshness

100/100

How old is the benchmark?

Limitations: Problems are public once collected; the effective cutoff depends on the release window the evaluator chose, which papers don't always disclose

Who leads LiveCodeBench

ModelScoreEvidence
DeepSeek-R165.9self-reported
DeepSeek-R1-Distill-Llama-70B57.5self-reported
DeepSeek-R1-Distill-Qwen-32B57.2self-reported
DeepSeek-R1-Distill-Qwen-14B53.1self-reported
DeepSeek-R1-Distill-Llama-8B39.6self-reported

Frequently asked questions

LiveCodeBench (LiveCodeBench (rolling fresh-problem code benchmark)): LiveCodeBench — a continuously updated code-generation benchmark pulling fresh problems from Codeforces/LeetCode/AtCoder after typical training cutoffs, scored as pass@1 (%); designed to stay contamination-resistant as the collection window advances.

DeepSeek-R1 leads LiveCodeBench at 65.9 — self-reported by the lab. The full leaderboard above lists every recorded measurement, not just the headline number.

8 models have recorded scores on LiveCodeBench, spanning a score spread of 49.

tensor.news grades LiveCodeBench A for integrity (score 98/100), ranking #16 of 61 benchmarks we assess across discrimination, saturation, contamination resistance, harness comparability, and freshness.

No — LiveCodeBench still has headroom and continues to discriminate between models rather than bunching them at the ceiling.

Its test set is public, so contamination risk is on the table: a high score may partly reflect training-data overlap rather than capability.

Scores are reported under a consistent harness, so comparisons on LiveCodeBench are reasonably apples-to-apples.

Every LiveCodeBench measurement is source-backed and tagged reproduced, self-reported, or unverified; the underlying record cites arxiv.org/abs/2403.04132.

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