Getting Started with Veo 3.1 Lite API: Cost-Effective Video Generation
Learn how to implement cost-effective AI video generation with Google's Veo 3.1 Lite API. This guide covers text-to-video and image-to-video implementation with practical code examples, cost optimization techniques, and production-ready error handling patterns.
Gemini API Multimodal Input Optimization — Production Techniques to Cut Token Costs for Images, PDFs, Video, and Audio
Cut your Gemini API multimodal token costs by up to 70% in production. Practical optimization techniques for images, PDFs, video, and audio with working Python code examples.
Mastering Gemini 2.5 Thinking Budget — Pro Techniques to Balance Cost and Accuracy
Controlling Gemini 2.5's Thinking Budget in production: task-based settings, a dynamic budget allocation system, and monitoring strategies that cut API costs by up to 70%.
Gemini API Observability in Production — Logging, Monitoring, and Cost Tracking Patterns
Learn how to build a robust observability stack for production Gemini API deployments. Covers structured logging, token usage tracking, latency monitoring, and cost optimization dashboards with full implementation code.
Gemini 3.1 Flash vs Pro: How to Choose by Speed, Cost, and Accuracy
Compare Gemini 3.1 Flash and Pro across speed, accuracy, and cost, with the actual routing code I use. Includes a June 2026 update on the 3.5 Flash GA release.
Gemini API AI Gateway Design Patterns — Building a Unified Proxy for Rate Limiting, Failover, and Cost Tracking
An advanced guide to designing and implementing an AI gateway (proxy server) for production Gemini API deployments. Learn how to unify rate limiting, automatic failover, token cost tracking, and multi-model routing in a single architecture layer.