{"slug": "googles-gemini-4-hydrogen-runs-2-5x-faster-than-3-8-flash-and-edges-past-argon", "title": "Google’s Gemini 4 Hydrogen runs 2.5x faster than 3.8 Flash and edges past Argon", "summary": "Google DeepMind launched Gemini 4 Hydrogen on November 12, 2026, a speed-focused model that completes tasks 2.5 times faster than Gemini 3.8 Flash and scored 51 on the Artificial Analysis Intelligence Index at default settings, one point above Google's frontier Gemini 4 Argon model at 50. Hydrogen scored 57% on Terminal-Bench 4.1, up from 18.2% for its prior version, and is available immediately in the Gemini app, Gemini API, Google AI Studio, Vertex AI and Google Search at $1.50 per million input tokens and $7.50 per million output tokens with a 1 million token context window. Google positions Hydrogen for rapid execution and algorithm coding alongside the heavier Gemini 4 Carbon and Argon models, which it says are meant for multi-modal orchestration rather than direct competition.", "body_md": "# Google’s Gemini 4 Hydrogen runs 2.5x faster than 3.8 Flash and edges past Argon\n\nThe speed-focused model scored 51 on the Artificial Analysis Intelligence Index, one point above Google's frontier Argon model at default settings\n\n[Google](https://cryptobriefing.com/markets/alphabet/) DeepMind has launched Gemini 4 Hydrogen, a model that finishes tasks 2.5 times faster than Gemini 3.8 Flash. It also outscored Gemini 4 Argon, Google’s own frontier model, on the Artificial Analysis Intelligence Index.\n\nHydrogen was announced on November 12, 2026, and is rolling out across all Gemini tiers immediately. It is live in the Gemini app, the Gemini API, Google AI Studio, Vertex AI and Google Search.\n\n## The numbers behind Hydrogen\n\nThe headline speed figure comes from Hydrogen’s default high thinking setting, where Google says the gains are most pronounced. Compared with Gemini 3.8 Flash, the new model completes tasks 2.5 times faster.\n\nOn the Artificial Analysis Intelligence Index, Hydrogen scored 51 at default settings. Argon, the frontier model, scored 50 under the same conditions.\n\nPush Hydrogen to its highest capacity and the score climbs to 54.\n\nThe coding results show the biggest jump. On Terminal-Bench 4.1, Hydrogen posted a score of 57%, up from 18.2% for its prior version.\n\nTerminal-Bench measures how well a model handles tasks inside a command-line environment, the text-based workspace developers use to run code and manage systems.\n\n## Where it fits in the Gemini lineup\n\nGoogle is positioning Hydrogen as the fast, practical member of the Gemini 4 family. Its intended jobs are rapid execution, algorithm coding and general-purpose work.\n\n### AI, tech, and the markets they move—in one daily briefing.\n\nDaily. Free. Join 34,000+ readers across crypto, finance, and policy.\n\nThe heavier lifting is meant to stay with Gemini 4 Carbon and Argon, the more capable frontier models. Hydrogen is designed for multi-modal orchestration alongside them, so the three can split a workload rather than compete for it.\n\nPricing is a flat rate of $1.50 per million input tokens and $7.50 per million output tokens. Tokens are the small chunks of text a model reads and writes, so input is what you send in and output is what comes back.\n\nThe model carries a context window of 1 million tokens.\n\nGoogle says Hydrogen is aimed at developers and high-volume users.\n\n## A quiet testing run before launch\n\nHydrogen did not arrive out of nowhere. Community testing ran from late October 2026 under the name gemini-3.8-flash, which meant some users were trying the model before it had its real name.\n\nInternal staff testing was reported on November 11, 2026, one day before the public announcement.\n\n## What this means for developers and the AI race\n\nFor developers, the most practical story is the combination of speed, coding gains and a predictable flat price. A model that finishes tasks 2.5 times faster can change how responsive an app feels, especially in products where users sit and wait for an answer.\n\nThe Terminal-Bench jump matters most for teams building coding assistants and automated agents. A model that succeeds on 57% of command-line tasks instead of 18.2% is far more usable for work that involves actually running things, not just writing snippets.\n\nThe Intelligence Index result raises a more awkward question for Google’s own lineup. If the fast tier scores 51 and the frontier tier scores 50 at default settings, buyers may wonder when the bigger model is worth reaching for.\n\nGoogle’s answer appears to be orchestration. Hydrogen is built to work alongside Carbon and Argon, so the pitch is less about picking one model and more about routing each task to the right tool.\n\nPricing will be worth watching as usage grows. A flat rate of $1.50 per million input tokens and $7.50 per million output tokens is easy to budget, but the five-to-one gap between output and input means cost depends heavily on how chatty an application is.\n\n**Disclosure:** This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our [Editorial Policy](https://cryptobriefing.com/editorial-policy/).", "url": "https://wpnews.pro/news/googles-gemini-4-hydrogen-runs-2-5x-faster-than-3-8-flash-and-edges-past-argon", "canonical_source": "https://cryptobriefing.com/gemini-4-hydrogen-faster-than-3-8-flash/", "published_at": "2026-11-12 18:08:27+00:00", "updated_at": "2026-11-12 18:20:00.736740+00:00", "lang": "en", "topics": ["large-language-models", "artificial-intelligence", "ai-products", "ai-tools"], "entities": ["Google", "Google DeepMind", "Gemini 4 Hydrogen", "Gemini 3.8 Flash", "Gemini 4 Argon", "Gemini 4 Carbon", "Artificial Analysis Intelligence Index", "Terminal-Bench 4.1"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/googles-gemini-4-hydrogen-runs-2-5x-faster-than-3-8-flash-and-edges-past-argon", "markdown": "https://wpnews.pro/news/googles-gemini-4-hydrogen-runs-2-5x-faster-than-3-8-flash-and-edges-past-argon.md", "text": "https://wpnews.pro/news/googles-gemini-4-hydrogen-runs-2-5x-faster-than-3-8-flash-and-edges-past-argon.txt", "jsonld": "https://wpnews.pro/news/googles-gemini-4-hydrogen-runs-2-5x-faster-than-3-8-flash-and-edges-past-argon.jsonld"}}