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Karl's AI Watts tests Gemini 4 Argon's writing, reports 1M context and API pricing

1 article1 sourcesince Oct 14Last article 1h ago ·

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Karl's AI Watts (@aiwarts) tests Gemini 4 Argon's writing by having it generate a web-novel-style chapter about its own release.

The post says the model supports a 1M-token window for both input and output, up from a 64K output limit. It lists API pricing at $2 per million input tokens and $10 per million output tokens, and says these prices double after November 30.

The post does not include independent benchmark results, and it does not show the generated chapter's quality beyond the author's praise for its style.

Written by AI from the articles below · updated Oct 14, 10:14 AM ET

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Latest developmentOct 14, 10:06 AM ET
Karl's AI Watts tests Gemini 4 Argon's writing, praising its 1M context and style gains

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Oct 14
  1. Karl's AI WattsX
    Karl's AI Watts tests Gemini 4 Argon's writing, praising its 1M context and style gains

    AIKarl's AI Watts tests Gemini 4 Argon's writing by having it generate a web-novel-style chapter about its own release. The post says the model supports a 1M-token input and output window, up from a 64K output limit, and API pricing is $2 per million input tokens and $10 per million output tokens, doubling after November 30.

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