Google: Gemini 4 Argon
Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. It is designed to hold context across long, multi-stage tasks, making it a strong choice for large codebases, research-grade analysis, and agent loops that need to stay on track over many steps.
The model supports a 1M-token context window with 64K output tokens and accepts text, images, video, audio, and PDFs as input. Reasoning is always on, with low, medium, and high effort levels to trade speed for depth, and it supports tool use, structured outputs, and prompt caching.
Capabilities
How to use
- Type your question, task, or upload an image or document
- Pick a reasoning effort level for harder problems
- Get your answer and continue the conversation
Tip: Give context and say what format you want the answer in.
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