Google releases Gemini 4 Argon frontier reasoning model with 1M context

What happened.Google DeepMind released Gemini 4 Argon, a natively multimodal reasoning model designed for long-horizon autonomous workflows with a unified 1-million-token context window.
Why it matters.Long-horizon agentic workflows require deep reasoning without context exhaustion. A unified 1M input-output window allows builders to execute complex autonomous refactoring loops over massive codebases.
The technical specifications:
- Modular mixture: Built as a large-scale sparse mixture-of-experts transformer offering tunable thinking levels to adjust reasoning depth across multi-step execution.
- Specialized benchmarks: Ranked first on the Vals Index across high-stakes domains including finance, law, coding, and cyber vulnerability patching.
- API access: Available across Google AI Studio, Google Antigravity, and Vertex AI at introductory pricing of $2 per million input tokens.