A new model that lets you spend a full 1M tokens across input, thinking, and output just arrived, complete with a developer guide. Title: Gemini 4 Argon: Developer Guide URL: 📝 Overview This is the developer guide for Google DeepMind's latest frontier model, Gemini 4 Argon. It features a unified 1M-token context window and three Thinking Levels to tune reasoning depth. 🧠 Technical highlights Input, thinking, and output now share a single 1M-token window, and Long Decode lets a single response generate up to 1M tokens. The model ID is gemini-4-argon, and prompts over 4,096 tokens get automatic implicit caching at a 95% discount. 📊 Benchmarks Argon ranks #1# on the Vals Index across finance, coding, law, and tax; scores 87% on the robotics benchmark ERQA; and holds attackers to a 0.7% success rate on the Gray Swan IPI prompt-injection benchmark. 🏭 Real-world results Chrome used it to shrink a legacy code-separation effort spanning 6 million lines from months to weeks, and Gemma 4 E2B's inference throughput improved 2.85x. 💰 Availability Available now via Google AI Studio and the Gemini API, at launch pricing of $2 input / $10 output per million tokens (through November 30, 2026). #Gemini4Argon# #DeveloperGuide#