Need a multi-LLM chat that compares answers side by side?

MingLLM runs multiple frontier models in parallel, keeps backup models running in the background, and uses MingJudge to select a readable, high-quality final answer.

Parallel model responses Compare multiple models in one prompt instead of guessing which model to trust.
Background fallback logic Primary and backup models race in parallel so slow or failing providers do not block answers.
MingJudge final pick Automatically rank candidates for accuracy, readability, and practical usefulness.
Streaming compare workflow See responses as they arrive and keep momentum for research, coding, and planning.
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