LiveCodeBench

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.

DeepSeek-V4-Pro-Max from DeepSeek currently leads the LiveCodeBench leaderboard with a score of 0.935 across 71 evaluated AI models.

Paper

DeepSeekDeepSeek-V4-Pro-Max leads with 93.5%, followed by DeepSeekDeepSeek-V4-Flash-Max at 91.6% and DeepSeekDeepSeek-V3.2 at 83.3%.

Progress Over Time

Interactive timeline showing model performance evolution on LiveCodeBench

State-of-the-art frontier
Open
Proprietary

LiveCodeBench Leaderboard

71 models
ContextCostLicense
11.6T1.0M$1.74 / $3.48
2284B1.0M$0.14 / $0.28
3685B164K$0.26 / $0.38
3685B
5
MiniMax
MiniMax
230B1.0M$0.30 / $1.20
6560B128K$0.30 / $1.20
7120B
8128K$0.30 / $0.50
92.0M$0.20 / $0.50
10128K$3.00 / $15.00
10
10560B
13
14230B1.0M$0.30 / $1.20
15685B
16671B131K$0.55 / $2.19
17
Zhipu AI
Zhipu AI
355B
189B
19
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
235B
19
Zhipu AI
Zhipu AI
106B
21
22
Inception
Inception
128K$0.25 / $0.75
23253B
24
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B128K$0.10 / $0.44
25456B
2614B
27
Mistral AI
Mistral AI
119B256K$0.15 / $0.60
28
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
29
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
31B128K$0.10 / $0.44
30456B
318B
3271B
3333B
34671B164K$0.27 / $1.00
35
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
73B
363B
3714B
381.0T
3914B
3915B
4124B
4224B
43671B
43
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
33B
45671B164K$0.28 / $1.14
46560B128K$0.30 / $1.20
47400B
488B
49
DeepSeek
DeepSeek
671B
498B
150 of 71
1/2
Notice missing or incorrect data?

FAQ

Common questions about LiveCodeBench.

What is the LiveCodeBench 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 leaderboard?

The LiveCodeBench leaderboard ranks 71 AI models based on their performance on this benchmark. Currently, DeepSeek-V4-Pro-Max by DeepSeek leads with a score of 0.935. The average score across all models is 0.530.

What is the highest LiveCodeBench score?

The highest LiveCodeBench score is 0.935, achieved by DeepSeek-V4-Pro-Max from DeepSeek.

How many models are evaluated on LiveCodeBench?

71 models have been evaluated on the LiveCodeBench benchmark, with 0 verified results and 71 self-reported results.

Where can I find the LiveCodeBench paper?

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

What categories does LiveCodeBench cover?

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

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