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Google has expanded access to its Gemini 4 Argon model, a sparse mixture-of-experts architecture capable of generating up to one million output tokens. This release represents a significant step forward in long-context generation capabilities and efficiency metrics within the current large language model landscape.
Sources coveringMarkTechPost, LessWrong, livetradingnews.com, Interconnects
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Google Releases Gemini 4 Argon API With 1M Token Output Limit

MarkTechPost1 min read

Google has made Gemini 4 Argon generally available on the Gemini API, AI Studio and the Gemini app. The sparse MoE model writes up to 1M output tokens and leads the Vals Index at 68.90%. The post Google Releases Gemini 4 Argon API With 1M Token Output Limit appeared first on MarkTechPost.

Read the full article at MarkTechPost

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