GPT-5在文本处理方面不如4.1-mini，在编码方面不如Sonnet 4。
看起来OpenAI的公关机器运转得非常出色。Cursor的首席执行官表示这是最好的，Simon Willison也有类似的看法（https://simonwillison.net/2025/Aug/7/gpt-5/）。
但我发现它非常糟糕。在Cursor中进行编码时，它运行缓慢，工具调用经常失败（没有MCP，只有标准的Cursor工具），并且在globalThis中存储了一些新的应用状态——这是在过去一年多的Cursor/Claude Code使用中，没有任何模型尝试过的事情。
对于我正在开发的摘要/洞察API，它的表现远不如gpt-4.1-mini。我尝试了mini和完整的gpt-5，使用了不同的推理设置。它没有遵循指示，输出在我所有的评估中都更差，即使经过了大量的提示调整。我进行了大量采样，结果客观上很糟糕。
我是不是唯一一个这样想的人？有没有人看到GPT-5相比其他模型的实际好处？
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It seems that OpenAI have got the PR machine working amazingly. The Cursor CEO said it's the best, as did Simon Willison (https://simonwillison.net/2025/Aug/7/gpt-5/).<p>But I've found it terrible. For coding (in Cursor), it's slow, fails with tool calls often (no MCP just stock Cursor tools) and stored some new application state in globalThis - something that no model has ever attempted to do in over a year of very heavy Cursor / Claude Code use).<p>For a summarization/insights API that I work on, it was way worse than gpt-4.1-mini. I tried both mini and full gpt5, with different reasoning settings. It didn't follow instructions, and output was worse across all my evals, even after heavy prompt adjustment. I did a lot of sampling and the results were objectively bad.<p>Am I the only one? Has anyone seen actual real-world benefits of GPT-5 vs other models?