Results on https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index agree with everything I've experienced about GLM 5.3 Flash, and which I've seen others report. It's a fantastic model, which occupies a unique position for anyone interested in self-hosting.

For my needs, preferences, and workflow patterns, large context tends to be very important, so I'm choosing to use the IQ3 quant. Keeping both IQ3 and IQ4 version on the same machine, however, and switching between them, is certainly not a problem. I just choose to leave IQ3 loaded and running all the time as the default version, and I can switch manually if the more precise version is ever needed. From my experience, though, IQ3 is working much more reliably than I would have expected. I'm starting to trust it for critical work. I suspect that this model is just so capable, that even when debilitated by very low quantization compression, it's still smarter and more reliable than alternative models. I've been impressed by how effectively the model thinks and evaluates its own output before returning results.

So far, aside from a pile of example/toy vibe coded application tests, like the ones above, I've jumped right into using GLM 5.3 Flash IQ3_XXS to produce anonymized data sets, which I feed into workflows that require HIPAA compliant data management. For example, when building apps with non-compliant ChatGPT, when the model needs to see actual data examples to build an application, that's my standard routine.

I do that many times a week, because it keeps me from having to spend ridiculous amounts of money on HIPAA compliant API providers, for software development tasks. GLM53f IQ3 has been doing a fantastic job providing that critical service for me. I've also started using it to perform all sorts of common IT tasks, which it's been breezing through without any trouble.