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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.
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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 MarkTechPostRelated coverage

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