Ask HN: Which model do you use for work?
I've noticed a lot of new LLM releases lately. I'm curious to know which models you find work best for your particular workflows and tasks.
I usually use Opus 5.5 for coding stuff and for the rest of the stuff I use sonnet 5 / gpt luna doesn't really matter
I mostly use Claude - model depends and goes from Sonnet up to Fable (mostly Opus right now, Sonnet for easier task and Fable only seldom for very specific). Workplace-related we use ChatGPT 5.4/5 with LibreChat as Chatlayer. Would love to use Mistral more (as EU alternative), but my last test (though quite a while ago) I was a bit disappointed. May look into it again soon.
GLM 5 is the main model I'm currently using. My usage with it is around 90,000 requests per month. Although its capability isn't the strongest, I think that because the quota is so large, it feels really great to use. For certain cases, I'll use the DeepSeek V4 model. Actually, my latest open-source project, vocnly, was developed on GLM 5. It's a local voice-input tool, and it can be seen as an open-source alternative to Typeless. I think it works without any issues. For certain cases, I'll use the DeepSeek V4 flash model.
Qwen 3.8 27b-mlx running locally on Apple M4 48 GB. I only use local LLMs, mostly for getting technical suggestions and code snippet samples. Qwen 3.8 has been the first local model I've tried that has consistently given usable and impressive results.
My preferred model at the moment is GLM 5.3 Coding. I think it's as good as the latest closed-weight models at a fraction of the cost, and we are being capped now at my place of employment so if I use it I don't run out of quota by the end of the first week of each month.
gpt 5.6 sol. assuming the prose is similar with the gpt 6 series, if it was available at work that's probably what i'd be using instead. i'm well aware of opus and fable's superior engineering qualities for writing code, however i find that as a swe who needs to understand every engineering decision that is made and is held accountable for their actions for safety critical code, understanding trumps speed every time. and the gpt model series is far and above easier for me to understand the outputs of than claude, even with the prose improvements in fable 5.1 and opus 5.5.