I tried it through siliconflow (I have no relationship to them other than as a normal customer) with the command line Pi agent and it's pretty good at adding features to a rust lang code repo. Compared to Deepseek V4 Pro there, M3 is about 3X the cost for non-cached input tokens and 5X the cost for output tokens. (both offering a 1M token context window). It certainly wasn't worh 5X the output of the Deepseek model for my uses, though.
I couldn't find any info on how they (siliconflow) quantized the model. I think some of the other ineference service aggregators might offer it as well, already.
I couldn't find any info on how they (siliconflow) quantized the model. I think some of the other ineference service aggregators might offer it as well, already.