
What happened
Google launched Gemini 4 Hydrogen, which scores 51 vs. 50 for Gemini 4 Argon on the Artificial Analysis Intelligence Index, reaching 54 at its xhigh setting and priced flat at $1.50 per million input tokens across its 1 million-token context window.
Why it matters
Hydrogen delivers higher intelligence-index performance than Argon at default settings, suggesting Google now offers a cheaper, faster option that does not sacrifice top-line benchmark standing for everyday work.
WHO IT HITSSoftware developers and enterprise teams using Gemini models gain a lower-cost, faster execution option for coding and agentic workflows, while consumer Gemini app and Search users get upgraded responses.
Summaries like this, every morning.
Gemini 4 Hydrogen arrives as a complement to Google's frontier models, Gemini 4 Carbon and Gemini 4 Argon, which the company says excel at deep, long-horizon reasoning. Hydrogen is positioned for rapid execution across agentic workflows, and Google is making it available across all tiers of its developer, enterprise, and consumer surfaces simultaneously.
The model's benchmark positioning is notable: it surpasses Argon on the Artificial Analysis Intelligence Index at its default high thinking level, 51 versus 50, and reaches 54 at its xhigh setting. That suggests Google is aiming to deliver top-tier intelligence without the latency or cost typically associated with frontier reasoning models. The flat pricing of $1.50 per million input tokens across a 1 million-token context window reinforces that positioning.
For teams migrating from Gemini 3.8 Flash, Google presents Hydrogen as a major standalone upgrade, claiming it finishes tasks 2.5 times faster at its high default setting and more than triples Terminal-Bench 4.1 scores. The company also emphasizes safety improvements, including reduced overreach in agentic tasks by up to 81% and a 96.7% honesty rate on its internal agent honesty evaluation, framing Hydrogen as designed for dependable execution at scale.
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