Cost, Model Selection, and Taking Your AI Team to Production
The finale. Optimize costs, match models to agents, calculate ROI, and make your AI team production-ready.
#cost-optimization
7 posts
The LLM Cost War: Qwen3.6-Plus, Gemini Flash-Lite, and the Dawn of Commodity AI
Alibaba just released its third proprietary model in days. Google's Gemini Flash-Lite costs $0.25 per million tokens. NVIDIA's Nemotron runs 2.2x faster than GPT-OSS-120B. The LLM cost war has arrived — here's what it means for architects choosing AI infrastructure in 2026.
Gemini 3.1 Flash-Lite Is Free: What It Actually Means for Developer Economics
Google just made Gemini Code Assist free and priced Flash-Lite at $0.25/M tokens. After 15 years building production systems, here's what this cost collapse really changes about how we build.
The AI Cost Collapse: How to Architect Smart at Under $1/M Tokens
GPT-4 level AI cost $30/M tokens in 2023. Today it's under $1. Here's the technical architecture that lets you capture 90%+ of that savings without sacrificing quality.
Mistral 3 in Production: What Open-Source AI Gets Right (and Wrong) in 2026
Mistral Large 3's MoE architecture delivers 92% of GPT-5.2's performance at 15% of the cost. As a technical lead who has run open-source LLMs in production, here's where it works and where it fails.
Production Voice AI for Research at Scale: The Real Cost
Real-time per-minute cost tracking, provider comparison (OpenAI Realtime ~$0.053/min vs Gemini Live ~$0.029/min), budget enforcement with soft/hard limits, and the self-hosting math that saves 90% on transport.
The Voice AI Interview Playbook: Cost Optimization — From $0.14/min to $0.03/min Without Sacrificing Quality
The real cost of AI voice interviews, broken down per minute. Managed vs self-hosted economics, the three tipping points, and how to get from $3.45 per interview to under $1.00.
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