How does Claude 3.5 Sonnet compare to GPT-4 in terms of coding accuracy

1. Coding Proficiency (HumanEval Benchmark):
- Claude 3.5 Sonnet: 92.0% accuracy (0-shot)
- GPT-4o: 90.2% accuracy (0-shot)

The search results indicate that Claude 3.5 Sonnet outperforms GPT-4o on the HumanEval benchmark, which measures coding proficiency. Claude 3.5 Sonnet achieved a higher accuracy score of 92.0% compared to GPT-4o's 90.2%.

2. Agentic Coding Evaluation:
- Claude 3.5 Sonnet: Solved 64% of problems
- Claude 3 Opus: Solved 38% of problems

In an internal agentic coding evaluation conducted by Anthropic, Claude 3.5 Sonnet was able to solve 64% of the problems, significantly outperforming the previous Claude 3 Opus model, which only solved 38% of the problems. This demonstrates Claude 3.5 Sonnet's superior coding capabilities compared to previous models.

The search results do not provide a direct comparison between Claude 3.5 Sonnet and GPT-4 in terms of agentic coding evaluation. However, the strong performance of Claude 3.5 Sonnet on the HumanEval benchmark and the internal agentic coding evaluation suggests that it likely outperforms GPT-4 in terms of coding accuracy and problem-solving abilities.

Overall, the search results indicate that Claude 3.5 Sonnet is a highly capable model when it comes to coding tasks, outperforming GPT-4o and previous Claude models in terms of coding accuracy and problem-solving.