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Argon is available through the Gemini API in AI Studio and on Google’s Gemini platform, and to Google AI Ultra subscribers in the Antigravity agentic development environment, the post added. In a separate developer blog post, Google said the model is “designed for those long-horizon workflows that require deep reasoning and structural precision.”
Pricing set to double
According to the post, Argon costs $2 per million input tokens and $10 per million output tokens during the introductory period, with cached input discounted by 95%. A footnote in the post states the prices rise to $4 and $20, respectively, after November 30. The company said the model’s 1 million-token limit in the Gemini API is shared between input and output.
Sanchit Vir Gogia, chief analyst at Greyhound Research, said CIOs should budget at the higher rate from day one, because no enterprise evaluation, security review, and procurement cycle finishes within the discount window. “A business case built on the launch rate is a business case built to be rewritten in seven weeks,” he said.
