> Markdown version of [/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source?t=200](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source?t=200). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source Relying on proprietary LLMs is like hiring a PhD for an intern's task. Learn how fine-tuning compact open-source models maintains top-tier accuracy while slashing production costs by 86%. - **Speakers:** [Viktoria Semaan](https://www.wearedevelopers.com/@viktoria-semaan) - **Event:** World Congress 2026 Europe - **Published:** July 9, 2026 - **Duration:** 29:50 - **URL:** https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source - **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/5b05204e74831cc54e82ece289a582a0/thumbnails/thumbnail.jpg?time=89350ms ## Access Playback and chapters for this video are available with a Free account. ## Related Moments - [Evaluating AI models using an LLM as a judge](https://www.wearedevelopers.com/videos/100508-legacy-as-a-launchpad-how-yahoo-mail-is-undergoing-a-product-and-engineering-transformation) (from "Legacy as a Launchpad: How Yahoo Mail is Undergoing a Product and Engineering Transformation") - **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/25bcd90e13f6ef7ab217ed7620dee0d2/thumbnails/thumbnail.jpg?time=179363ms - [Key takeaways and open-source resources for model evaluation](https://www.wearedevelopers.com/videos/100447-from-model-selection-to-smart-routing-how-to-use-the-right-llm-for-every-task) (from "From Model Selection to Smart Routing: How to Use the Right LLM for Every Task") - **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/8ca7fddf3be15833540b66bafdec7394/thumbnails/thumbnail.jpg?time=269365ms - [Evaluating model performance and accuracy using LLM judges](https://www.wearedevelopers.com/videos/100447-from-model-selection-to-smart-routing-how-to-use-the-right-llm-for-every-task) (from "From Model Selection to Smart Routing: How to Use the Right LLM for Every Task") - **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/8ca7fddf3be15833540b66bafdec7394/thumbnails/thumbnail.jpg?time=269365ms - [Architecting inference layers and meta harnesses to manage token costs](https://www.wearedevelopers.com/videos/100600-inside-the-ai-native-engineering-org) (from "Inside the AI-Native Engineering Org") - **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/ffe256ba71a3d5017d4ff5d033858092/thumbnails/thumbnail.jpg?time=242411ms - [Comparing open-weight, proprietary, and fine-tuned AI models](https://www.wearedevelopers.com/videos/100447-from-model-selection-to-smart-routing-how-to-use-the-right-llm-for-every-task) (from "From Model Selection to Smart Routing: How to Use the Right LLM for Every Task") - **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/8ca7fddf3be15833540b66bafdec7394/thumbnails/thumbnail.jpg?time=269365ms - [Navigating intelligence, speed, and cost trade-offs in AI models](https://www.wearedevelopers.com/videos/100447-from-model-selection-to-smart-routing-how-to-use-the-right-llm-for-every-task) (from "From Model Selection to Smart Routing: How to Use the Right LLM for Every Task") - **Thumbnail URL:** https://customer-goifxnzhrq3d0d54.cloudflarestream.com/8ca7fddf3be15833540b66bafdec7394/thumbnails/thumbnail.jpg?time=269365ms ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. 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