📄 中文摘要
一款售价500美元的RTX 5070显卡搭载Qwen 3.5 Coder 32B的配置在HumanEval测试中表现优于Claude Sonnet 4.6，准确率分别为92.1%和89.4%。尽管差距不大，但这一发现对云端AI的优越性假设提出了挑战。该配置在40个token每秒的速度下进行本地推理，且没有API成本，确保了完全的隐私。测试覆盖了164个编码问题，评估了准确性、延迟、成本和实际可用性等多个方面。
这款500美元的GPU在编码基准测试中超越Claude Sonnet
出处: The $500 GPU That Outperforms Claude Sonnet on Coding Benchmarks
发布: 2026年3月27日
📄 English Summary
The $500 GPU That Outperforms Claude Sonnet on Coding Benchmarks
A $500 RTX 5070 GPU running Qwen 3.5 Coder 32B has outperformed Claude Sonnet 4.6 on the HumanEval benchmark, achieving accuracy rates of 92.1% compared to 89.4%. While the margin is small, the implications are significant, challenging the assumption of cloud AI superiority. The setup allows for local inference at a speed of 40 tokens per second, incurs zero API costs, and ensures complete privacy. The testing involved 164 coding problems, measuring not only accuracy but also latency, cost, and practical usability.