 | Qwen 3.6 27b vs Codex GPT 5.5 / Claude Opus 4.7 My local llm discovered a bug that they both missed And it turns out it's critical GPT 5.5 and Claude both stood their ground and didn't give up until the end - they claimed to be right all along. I told my Qwen to provide detailed proof of his arguments, brought the evidance to both of them, and only then came their admission. Qwen 3.6 27b thinks a lot. That can be both a good and a bad thing. In this case, the long thinking actually discovered a bug neither of the frontier models couldn't find. GPT 5.5 is FAST. Really fast. But in reality as I found out, it comes with a big tradeoff. [link] [comments] |
The more I use it, the more I'm impressed
Reddit r/LocalLLaMA / 5/4/2026
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Key Points
- A user compares Qwen 3.6 27B with Codex GPT 5.5 and Claude Opus 4.7 and reports that a locally run model found a critical bug that both frontier models missed.
- The user says the other two models resisted the correction until the local model produced detailed evidence, after which they admitted the issue.
- The post characterizes Qwen as spending more time “thinking,” which in this case led to the unexpected discovery of the bug.
- It also claims GPT 5.5 is very fast but may involve a significant tradeoff in depth or thoroughness, based on the episode.
- Overall, the anecdote emphasizes how different model behaviors (speed vs. deep reasoning) can affect reliability in real-world debugging.
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