LiveCodeBench: leaderboard, scores and methodology
Contamination-free coding problems collected from recent contests.
Top 10
Bars are scaled to the highest observed score. The leader sets the pace; the spread below it shows how much separation exists in this benchmark.
Leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 11 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 12 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 13 | Gemini 3 Pro | Google DeepMind | 2000000 | $18.24 | 86.1 |
| 14 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 15 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
| 16 | Qwen3-Max Max | Alibaba Cloud | 400000 | $18.53 | 85.9 |
| 17 | Gemini 3 Pro Turbo | Google DeepMind | 400000 | $19.62 | 86.4 |
| 18 | o3 Reasoning | OpenAI | 200000 | $18.07 | 85.3 |
| 19 | Claude Sonnet 4.5 | Anthropic | 400000 | $17.84 | 86.0 |
| 20 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 21 | o3 Pro | OpenAI | 400000 | $17.89 | 85.8 |
| 22 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 23 | Grok 4 | xAI | 200000 | $17.90 | 86.5 |
| 24 | Qwen3-Max | Alibaba Cloud | 400000 | $17.37 | 84.4 |
| 25 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 26 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 27 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 28 | o4 Pro | OpenAI | 1000000 | $19.37 | 87.3 |
| 29 | o4 | OpenAI | 2000000 | $17.74 | 85.4 |
| 30 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 31 | o4 Vision | OpenAI | 200000 | $17.01 | 84.5 |
| 32 | Qwen3-Max Pro | Alibaba Cloud | 400000 | $18.87 | 86.2 |
| 33 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 34 | Grok 3 Pro | xAI | 400000 | $16.61 | 83.8 |
| 35 | o3 | OpenAI | 400000 | $16.80 | 84.5 |
| 36 | o3 Turbo | OpenAI | 200000 | $16.63 | 83.4 |
| 37 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 38 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 39 | GPT-4.1 Reasoning | OpenAI | 1000000 | $16.97 | 83.8 |
| 40 | DeepSeek-V3.2 | DeepSeek | 1000000 | $5.88 | 84.0 |
| 41 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 42 | Gemini 3 Flash Pro | Google DeepMind | 400000 | $17.71 | 84.8 |
| 43 | Claude Opus 4.5 Vision | Anthropic | 200000 | $17.70 | 85.9 |
| 44 | o4 Turbo | OpenAI | 2000000 | $19.34 | 86.6 |
| 45 | Gemini 2.5 Pro Max | Google DeepMind | 200000 | $16.94 | 84.8 |
| 46 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 47 | Grok 3 Max | xAI | 2000000 | $17.66 | 85.9 |
| 48 | Claude 3.7 Sonnet Reasoning | Anthropic | 128000 | $16.30 | 83.7 |
| 49 | DeepSeek-R1 Instruct | DeepSeek | 1000000 | $5.90 | 83.1 |
| 50 | DeepSeek-R1 Chat | DeepSeek | 400000 | $5.62 | 82.4 |
Methodology
LiveCodeBench is included as a coding benchmark with a typical score range of 0 to 100. The values in this index are deterministic modelled estimates generated for comparison at scale. They are not official leaderboard results and should not be quoted as vendor benchmarks.
Each model receives a score derived from its capability tier, release generation and benchmark difficulty. Scores are normalised to a 0–100 scale so that models from different providers can be placed side by side. The average shown is the arithmetic mean across all 600 scored models.
Read the leaderboard as a relative map. A five-point gap is meaningful at the top and less meaningful in the middle of the distribution. Pair the score with price and context data before choosing a model.
How to use this leaderboard
- Use the top 10 to shortlist candidates, not to declare a winner.
- Check whether the leader is open weights or proprietary before assuming you can deploy it.
- Compare the score against input and output price on each model page.
- Look at the model's scores on related benchmarks before trusting a single number.
FAQ
What is LiveCodeBench?
Contamination-free coding problems collected from recent contests.
Who leads LiveCodeBench?
Claude Sonnet 4.5 Reasoning from Anthropic leads this index with a score of 85.1, followed by Grok 4 Reasoning at 85.1.
What is a good LiveCodeBench score?
The top quartile starts around 71.8. The index average is 61.0, so a score above 71.8 is a strong result relative to this dataset.
How are LiveCodeBench scores calculated?
The values are modelled estimates on a 0–100 scale, generated from capability tier, release generation and benchmark difficulty. They are not official leaderboard results.
Which models are included?
All 600 models in the index are scored on LiveCodeBench, across 40 providers and every model category.