LLM Cost Optimization Guide — Choose the Right AI Model for Every Task скачать в хорошем качестве

LLM Cost Optimization Guide — Choose the Right AI Model for Every Task

Learn how to choose the right LLM model for every task and reduce AI application costs while building real products. In this video, we demonstrate a practical workflow using Ideavo, a multi-model AI platform with access to 150+ LLMs, and show how to optimize LLM usage based on task complexity, token cost, and output quality. Instead of using expensive models for everything, you’ll learn a model selection strategy used by AI builders and SaaS teams to optimize performance and cost. Topics covered in this video: LLM cost optimization strategy Price vs output in AI models Multi-model AI workflow Choosing the right LLM for coding tasks Using free LLM models effectively Building UI with AI models Fixing bugs using small LLMs Authentication setup using advanced models Model switching in AI development Models discussed: Kimi K 2.5, Gemini, Opus, Sonnet, GPT-5 Mini, GLM 4.7, Minimax M2.1, Haiku This video is useful for: AI developers, SaaS founders, indie hackers, product builders, and engineers working with AI coding tools, LLM APIs, and multi-model platforms. If you're building AI apps in 2026, understanding when to use small vs large models is one of the most important skills. [llm cost optimization, ai model selection, multi model ai workflow, ideavo tutorial, kimi k 2.5, minimax m2.1, glm 4.7, gpt mini, ai coding tools, build apps with ai, llm pricing strategy, ai development workflow, generative ai development, saas ai tools, ai ui generation]