LiveCodeBench v6

LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.

Kimi K2.6 from Moonshot AI currently leads the LiveCodeBench v6 leaderboard with a score of 0.896 across 45 evaluated AI models.

Paper

Moonshot AIKimi K2.6 leads with 89.6%, followed by ByteDanceSeed 2.0 Pro at 87.8% and Alibaba Cloud / Qwen TeamQwen3.6 Plus at 87.1%.

Progress Over Time

Interactive timeline showing model performance evolution on LiveCodeBench v6

State-of-the-art frontier
Open
Proprietary

LiveCodeBench v6 Leaderboard

45 models
ContextCostLicense
1
Moonshot AI
Moonshot AI
1.0T262K$0.95 / $4.00
2
ByteDance
ByteDance
3
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0M$0.50 / $3.00
4196B66K$0.10 / $0.40
5
Moonshot AI
Moonshot AI
1.0T
6
Zhipu AI
Zhipu AI
358B205K$0.60 / $2.20
7
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B262K$0.60 / $3.60
8
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
397B262K$0.60 / $3.60
91.0T
10
Zhipu AI
Zhipu AI
357B
11117B131K$0.10 / $0.50
12
ByteDance
ByteDance
13
LG AI Research
LG AI Research
236B
13
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
27B262K$0.30 / $2.40
15309B
16
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B
1731B262K$0.14 / $0.40
18
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
122B262K$0.40 / $3.20
1925B262K$0.13 / $0.40
20
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
35B262K$0.25 / $2.00
21
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
22
Sarvam AI
Sarvam AI
105B
23
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.45 / $3.49
24
Sarvam AI
Sarvam AI
30B
25
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
1.0T256K$0.50 / $5.00
26
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
2732B262K$0.06 / $0.24
28
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
28
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B
30
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
31
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.18 / $2.09
32
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
80B
33
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B
34
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
236B262K$0.30 / $1.50
35
Moonshot AI
Moonshot AI
1.0T
368B
369B
38
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
39
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $1.00
405B
41
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
42
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B
43
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
9B262K$0.08 / $0.50
44
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
4B262K$0.10 / $0.60
45
Moonshot AI
Moonshot AI
1.0T
Notice missing or incorrect data?

FAQ

Common questions about LiveCodeBench v6.

What is the LiveCodeBench v6 benchmark?

LiveCodeBench is a holistic and contamination-free evaluation benchmark for large language models for code. It continuously collects new problems from programming contests (LeetCode, AtCoder, CodeForces) and evaluates four different scenarios: code generation, self-repair, code execution, and test output prediction. Problems are annotated with release dates to enable evaluation on unseen problems released after a model's training cutoff.

What is the LiveCodeBench v6 leaderboard?

The LiveCodeBench v6 leaderboard ranks 45 AI models based on their performance on this benchmark. Currently, Kimi K2.6 by Moonshot AI leads with a score of 0.896. The average score across all models is 0.680.

What is the highest LiveCodeBench v6 score?

The highest LiveCodeBench v6 score is 0.896, achieved by Kimi K2.6 from Moonshot AI.

How many models are evaluated on LiveCodeBench v6?

45 models have been evaluated on the LiveCodeBench v6 benchmark, with 0 verified results and 45 self-reported results.

Where can I find the LiveCodeBench v6 paper?

The LiveCodeBench v6 paper is available at https://arxiv.org/abs/2403.07974. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does LiveCodeBench v6 cover?

LiveCodeBench v6 is categorized under general and reasoning. The benchmark evaluates text models.

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