alt Hacker Newsin my experience of 1 month daily use, Qwen 3.7 Pro is just unusable. wastes too much time, goes off track, useless stuck loops, cannot debug at all. Deepseek V4 Pro is night-and-day compare to Qwen. actually Qwen models seems the worst SWE experience so far. and it is super expensive compare to Deepseek. cannot delegate anything to it, cannot use it real-time low-level tasks either. totally unusable.
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From my experience Qwen-3.7-Max is above the Opus level but delivers results much faster. Slightly worse then Fable. Way ahead of Deepseek 4 Pro (in speed and overall comprehension) - which is a workhorse on its own. I am using them all with Claude Code mostly.
Qwen-3.7-Plus is quite OK, good for subagent use. Way better then Sonnet.
Qwen-3.8-Max-Preview seems working just fine for me at the moment - I am playing with is right now but too early to say anything. At 10% of regular price it is a steal so far.
Qwen3.7 pro is meh, but 3.7 max is a very good model
Can you tell me more about deepseek?
I paid $2 for deepseek api, put the key in void editor and made a crypto tool in html.
It turned out to be around 67kb. I used sample files in CSV that were a few hundred lines.
It spent around $1.8 in the hour or two or light coding and follow up bugs.
Is it really really this much?
I can't imagine spending a month using it for a day job, it would cost more than the salary so what gives?
I understand the local ai and all that but do cloud providers cost this much?
Earlier I thought "billion tokens" but now not sure
> Qwen 3.7 Pro is just unusable. wastes too much time, goes off track, useless stuck loops, cannot debug at all. D
Anthropic should not have bugged their knowledge distillation attacks.
> in my experience of 1 month daily use, Qwen 3.7 Pro is just unusable. wastes too much time, goes off track, useless stuck loops, cannot debug at all. Deepseek V4 Pro is night-and-day compare to Qwen. actually Qwen models seems the worst SWE experience so far.
I have used both Qwen3.6-35B and Qwen3.6-27B locally (both Q8 quantized with llama.cpp). I have also used antirez's quant of DS4-flash. They all performed within the same tier, DS4 being a bit more efficient, but they all gave really good results, mainly used for bash scripting, debugging, python and some C++. I am curious what type of applications/langauges failed with Qwen? One thing to note, the chat templates were "broken" for qwen models and had to debug it, there are already effort on this. Tbh, the same with gemma.