What happened
Google released Gemini 4 Argon globally for coding, knowledge work, enterprise workflows and cyber defense, with introductory API rates of $2/$10 per million input/output tokens and cached input discounted 95%. It is available in Cursor, Devin and GitHub Copilot, and Cursor reports 52.8% on CursorBench at default effort.
Why it matters
Google's release drops Argon into the same developer tools and paid Gemini tiers where its competitors already sit, so its discounted introductory pricing becomes a direct cost comparison point for teams choosing a coding model.
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Google positioned Argon as a broad release rather than a niche one, spanning the paid Gemini API and platform, its consumer subscription tiers, and third-party developer tools. The simultaneous arrival in Cursor, Devin and GitHub Copilot means the model is competing for coding work immediately, not after a separate developer roll-out.
The pricing structure is the piece most likely to shape near-term decisions. An introductory rate of $2/$10 and a 95% cached-input discount apply now, but Artificial Analysis reports those rates double to $4/$20 after November 30, which puts a definite date on any cost comparison a team makes today.
Google also disclosed internal deployment results, including work on a six-million-line legacy Chromium folder and a reported 35% increase in agentic code submissions with rollbacks down by nearly one-third. Those are internal claims rather than controlled measurements, so they should be read as Google's own account of how Argon performed inside the company.
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