Benchmark profile
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code (LiveCodeBench)
A continuously updated coding benchmark built from newly collected LeetCode, AtCoder, and Codeforces problems. Fresh problem windows reduce one contamination path, but results still need a release and setup check.
Data verifiedQwen3.7 Max leads the LiveCodeBench leaderboard on BenchLM's July 2026 update with 91.6%, ahead of Qwen3.7 Plus (89.6%) and GLM-4.7 (84.9%), across 6 tracked models.
How to read this leaderboard
Editorial review by Glevd · 2026-07-15
Use LiveCodeBench as a competitive-programming signal after matching the release, date window, task scenario, pass@k metric, sampling count, temperature, and execution policy. Explicit v5, v6, and Pass@1-COT rows now have separate lanes; remaining generic rows can still use different or incompletely labeled windows.
Operator receipt: 6 sourced rows are currently displayable on this page; the leading published row is Qwen3.7 Max at 91.6%.
Honest limit: LiveCodeBench does not test work inside an existing repository. Release and date-window choice, the pruned versus original task set, generation settings, timeouts, and known autograding issues can affect a score. This legacy lane is a sourced result ledger, not one controlled BenchLM rerun.
Top models on LiveCodeBench — July 20, 2026
As of July 20, 2026, Qwen3.7 Max leads the LiveCodeBench leaderboard with 91.6% , followed by Qwen3.7 Plus (89.6%) and GLM-4.7 (84.9%).
Qwen3.7 Max
Alibaba
qwen3-7-max
Qwen3.7 Plus
Alibaba
qwen3-7-plus
GLM-4.7
Z.AI
glm-4-7
Leaderboard (6 models)
ScoreAccording to BenchLM.ai, Qwen3.7 Max leads the LiveCodeBench benchmark with a score of 91.6%, followed by Qwen3.7 Plus (89.6%) and GLM-4.7 (84.9%). There is significant spread across the leaderboard, making this benchmark effective at differentiating model capabilities.
6 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 38% of the category score, so strong performance here directly affects a model's overall ranking.
About LiveCodeBench
Year
2024
Tasks
Continuously updated contest problems
Format
Competitive-programming evaluation
Difficulty
Competitive programming level
The official suite evaluates code generation, code execution, test-output prediction, and self-repair on contest problems added over time. Its releases and selectable date windows let evaluators separate older and newer problem sets instead of treating the benchmark as one fixed test.
BenchLM freshness & provenance
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.
FAQ
What does LiveCodeBench measure?
LiveCodeBench evaluates coding on newly collected contest problems from LeetCode, AtCoder, and Codeforces. Its suite covers code generation, execution, test-output prediction, and self-repair, although provider tables commonly report code-generation pass rates. It tests competitive-programming correctness, not work inside an existing software repository.
Are LiveCodeBench scores directly comparable?
Only when the release, date window, scenario, pass@k metric, sampling count, temperature, and execution policy match. The official benchmark can change as new problems arrive, while providers may report different slices. BenchLM preserves sourced published rows, so unmatched settings support a directional read, not a precise ranking.
Can LiveCodeBench pick the best coding agent?
No. A high score supports competitive-programming performance under the reported setup. It does not establish codebase navigation, issue interpretation, tool use, patch review, or regression safety. Pair LiveCodeBench with a repository benchmark such as SWE-bench Pro and a trial drawn from your own languages, libraries, and runtime constraints.
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