关键要点
- Qwen 3.6 27B领先：92.1% HumanEval，77.2% SWE-bench，84.3% MBPP — 三项基准测试本地最高分。
- DeepSeek Coder是云端成本冠军：$0.14/1M令牌，HumanEval比Qwen低0.5个百分点。
- Mistral Devstral擅长智能体任务：在多步骤工具使用和多文件重构上表现更好。
- 调度策略：私有/GDPR相关代码任务 → 本地Qwen 3.6，非敏感批量生成 → DeepSeek Coder API。
Qwen 3.6 27B在16 GB显存下本地运行达到92.1% HumanEval和77.2% SWE-bench。DeepSeek Coder作为云API达到91.6% HumanEval。Mistral Devstral Small 24B达到90.1% HumanEval，在智能体多文件任务上领先。
关键要点
This article references third-party AI models, benchmarks, prices, and licenses. The AI landscape changes rapidly. Benchmark scores, license terms, model names, and API prices can shift between the time of writing and the time you read this. Before making deployment or compliance decisions based on this article, verify current figures on each provider's official source: Hugging Face model cards for licenses and benchmarks, provider websites for API pricing, and EUR-Lex for current GDPR and EU AI Act text. This article reflects publicly available information as of May 2026.
使用PromptQuorum将您的本地LLM与25+个云模型同时进行比较。
加入PromptQuorum等待列表 →