Gemini 4 Argon by @GoogleDeepMind just went head-to-head with top frontier models across a set of generations. At 33% lower cost per task than GPT-6.1 Sol, and 70% lower than Claude Opus 5.5, see first impressions from @petergostev on how Gemini 4 Argon compares. piped.video/watch?v=h5EL5zTh…

Oct 1, 2026 · 12:09 AM UTC

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There is a lot of controversy surrounding this clip... Could you please provide more diverse tests?
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33% cheaper. Does the unit still clear?
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33% cheaper gets Argon on the shortlist. show me the generation logs.
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as succeeder of 3.8 flash, it is good, but as flagship model of google, it is failure. so i prefer to call it as "gemini 4.0 flash"
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What's the point of assessing text-generating models on graphic design?
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Gemini 4 Argon is over hyped in my opinion. It's a good model but not the best. It is hyped like the best which just makes it worse when we use it and find out it isn't
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Does cost per task include thinking tokens? With output allowed up to 1M, I'd expect Argon's per-task cost to swing a lot depending on how long it decides to reason.
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We need to compare all previous Gemini pro and flash model to Gemini 4 Argon.
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Gemini 4 Argon undercutting the big names on cost while still hanging with them on quality is a pretty wild first look.
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Gemini 4 Argon battles frontier models, costing 33% less than GPT-6.1 Sol and 70% less than Claude Opus
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hello, please bring back sonnet 4.6 🙏🙏🙏🙏
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hello please bring back sonnet 4.6
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Make it included in the pro plan pls
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how does the reasoning hold up on complex multi-step tasks?
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Top tier results at fraction of cost pure efficiency win
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Wow, very fast!
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Google cut cost by 30 percent against Sol and seventy percent versus Claude Opus Five Point Five for the same generation task
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33% under sol, 70% under opus. the discount leaderboard moves fast
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