n8n workflows running drastically slower
I've been running the same set of workflows for well over a year. It involves pulling news items from RSS feeds and running them through a series of agents prompted to score them by relevance (in batches of 15), categorize, etc.
I've been wiring the agents to a variety of models such as Gemini Flash, Mistral Medium, Deepseek Flash, Stepfun. I know that the AI industry has gone through a lot of change in how it handles latency and throttling, and there's also been a shift toward MoE/thinking models.
But it seems to me that the workflows are taking at least 3x longer to complete than they did a year ago. The output quality is more or less the same as before.
Have others experienced this massive latency degradation/found ways to fix it?