Google announced this Thursday, November 12th, a new artificial intelligence model designed to meet everyday needs. This model, named Gemini 4 Hydrogen, succeeds Gemini 3.8 Flash, promising 2.5 times faster responses and presenting improvements in accuracy.
Currently, Gemini 4 Hydrogen is accessible both in the Gemini app and Google Search, available even to users without a subscription. For developers interested in integrating this model into their own applications and services, the API has a specific pricing structure.
Access to the model can be made through integration tools provided by Google, including Google AI Studio and Android Studio. According to Google, Hydrogen balances speed, reasoning capability, and a lower operational cost compared to other models in its family.
Although it is better suited for text generation and routine tasks, it was observed that the basic version of the model achieved satisfactory results in certain activities. In Artificial Analysis Intelligence, an independent index that evaluates the performance of AI models through various tests, Hydrogen scored 51 points in its default configuration and reached 54 points when using the maximum reasoning level, surpassing the 50 points recorded by Gemini 4 Argon.
Compared to Gemini 3.8 Flash, Gemini 4 Hydrogen demonstrated a reduction greater than five times in the incidence of hallucinations and proved 2.3 times more resistant to prompt injection attacks.
When compared with competing models, such as Anthropic's Claude Sonnet 5.5 and OpenAI's GPT-6.1 Terra, the results indicate certain advantages. However, performance varies depending on the evaluation; in tests requiring system operation and the resolution of scientific and mathematical problems, the Google model lagged behind Claude Sonnet 5.5 in benchmarks such as Terminal-Bench 4.1, Terminal-Bench-Science 0.1, and OSWorld-2.1, a relevant test for agentic AIs that measures interactivity with the computer.
Additionally, the new basic model can be integrated with Gemini 4 Carbon within the same workflow, using the new Orchestrator functionality. This tool operates similarly to the /swarm command, which was introduced in Google Antigravity upon the launch of the frontier model. The strategy is to keep Carbon dedicated to more complex tasks, while Hydrogen handles steps that can be completed with fewer resources. Tests released by Google showed that the combination of these two models achieved success rates close to those obtained by Carbon alone in Terminal-Bench 4.0, resulting in a 24% decrease in token consumption and a 19% decrease in processing time.



