Is there a way to have a faster MoE model call out to a slower dense model if it

<!-- SC_OFF --><div class="md"><p>This is about coding. Let's say I have 2 servers. One can host a large model but is slow (like 5-15 t/s slow). The other can host a small model,

<!-- SC_OFF --><div class="md"><p>Hi. Besides the fact that an xByA MoE models runs as fast as a yA models but produces better results, what are other benefits of pursuing an MoE

<!-- SC_OFF --><div class="md"><p>I need SOTA ai at like 2k TPS with tiny latency so that I can get time to first answer token under 3 seconds for real time replies with full COT

<!-- SC_OFF --><div class="md"><p>so as it says, I am not a FE eng, but want to do some light FE work<br /> I don't need the smartest model but need to get some work done.<br /> I

<!-- SC_OFF --><div class="md"><p>This may be naive but if we stripped a model of its image processing/voice processing capabilities, can it make it smaller or faster? Is that

<!-- SC_OFF --><div class="md"><p>Forgive me naiveness, I’m a little lost. Why must a model be jack of all trades? Why can’t we have a model expert in a single thing?</p>

<!-- SC_OFF --><div class="md"><p>Hi. What do you think is the smallest Open model, as of Spring 2026, that can match/beat OpenAI GPT 4o Mini in the broadest sense possible?</p>

<!-- SC_OFF --><div class="md"><p>There are so many options now — GPT, Claude, Gemini, etc.</p> <p>I find myself switching depending on what I’m doing (coding, writing, research),