It depends heavily on the model you're running, and to some extent what you're doing with it. It also depends to on prompt effort. The quantized llama 65b model (you can do it yourself, or pull something like https://huggingface.co/TheBloke/llama-65B-GGML) is probably the highest quality for general purpose, but it does take a fair bit of effort to prompt since it's not tuned for a use-case.

It's also not licensed commercially, so I avoid some things with it (ex: I do a lot of personal learning/investigation, but it doesn't touch or write anything related to work or personal projects)

The open models are a little further behind, but it's interesting to see them spin off into niches where they have strengths based on tuning/training.