The Model Swap Workshop: GPT-5.5 vs Kimi vs DeepSeek vs Mistral
Source
youtube.com
Author
AI Engineer
Date
Why it matters
Benchmarks do not predict how a model behaves in your app. This shows how to swap models, run the same scenarios and evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition →, and use prompt optimization to find a prompt a cheaper model can satisfy.
Terms in this piece · Glossary
RAG — Retrieval-augmented generation — fetching relevant documents first and pasting them into the model's context so it answers from your data instead of memory.
tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
