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Google releases Gemini 4 Argon with 1M context, but top scores use 'High' setting

Google has released its Gemini 4 Argon model, touting it as its most capable to date. The model offers a 1M token context window and advanced reasoning capabilities, with introductory API pricing set at $2 per million input tokens. While benchmarks show Gemini 4 Argon outperforming competitors like Claude Opus 5.5 and GPT-6 Astra on certain tasks, these scores were achieved using a 'High' reasoning setting not available to all users by default. AI

IMPACT Sets a new benchmark for context window size and reasoning, potentially influencing future model development and enterprise adoption.

RANK_REASON Frontier-lab model release with system card and benchmark comparisons.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Google releases Gemini 4 Argon with 1M context, but top scores use 'High' setting

How we ranked this

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29 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Frontier Release
Frontier-lab model release with system card and benchmark comparisons.
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3 independent sources
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model release, product
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High
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Breaking (< 6h)
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Full methodology in our editorial standards.

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    Google spent the last two weeks telling developers that Gemini 4 Argon is the most capable model it has ever shipped. The charts are everywhere: bars where Argo

    Google spent the last two weeks telling developers that Gemini 4 Argon is the most capable model it has ever shipped. The charts are everywhere: bars where Argon edges past Claude Opus 5.5 and GPT-6 Astra, a price tag of two dollars per million input tokens, and a first-place fin…