Google has launched Gemini 4 Hydrogen — a new AI model aimed squarely at developers and everyday coding workflows, with pricing, benchmarks, and rollout details confirmed for the first time. It is not a consumer device, nor a phone or tablet: it’s a cloud-based large language model, available now via the Gemini API and integrated into the Gemini app, Google Search, and Antigravity development tools.
No Indian price is listed in the reporting. All pricing is in USD and applies globally, including India, as part of Google’s standard API billing structure. The model is live as of 13 November 2026, per FoneArena’s report published that morning at 04:31 UTC. It does not replace Gemini 3.8 Flash, but sits alongside it, faster, more precise, and built for iterative, tool-augmented tasks.
And it costs $1.50 per million input tokens, $7.50 per million output tokens. That’s the same rate across its full 1 million-token context window. No regional variants. No tiered pricing.
No free tier mentioned. Just raw inference cost, billed as used. Developers in Bengaluru or Bangalore building CI/CD agents or debugging Android app builds will pay the same per token as those in San Francisco or Berlin. Google says Hydrogen completes coding tasks 2.5× faster than 3.8 Flash at its default ‘high’ thinking level, and cuts fabricated claims by more than 5×.
It also hits 51 on the Artificial Analysis Intelligence Index at that setting, edging past Gemini 4 Argon’s 50. At ‘xhigh’, it scores 54. But that’s not the headline. The headline is speed, reliability, and integration, not peak score-chasing.
Hydrogen doesn’t try to reason like Carbon or Argon. It moves fast, adapts when tools fail, and avoids rewriting whole files just to fix one line. In Google Antigravity, it works with Orchestrator, a new routing layer that swaps between models mid-session. Carbon handles planning.
Hydrogen executes and verifies. Together, they hit near-Carbon success rates while using 24% less quota and finishing 19% faster. That’s not theoretical. It’s measured on Terminal-Bench 4.0.
In the Gemini app, Hydrogen tightens instruction following and multi-turn logic, fewer follow-up prompts needed to get a working script or config change. In Search, it’s powering what Google calls its biggest model upgrade yet: better handling of multi-part queries, typos, and highly specific instructions. It also improves language nuance across all AI Mode-supported languages, no list given, but the implication is global coverage, including Hindi, Tamil, and Bengali where supported.
Safety updates are baked in: zero deceptive reasoning edits found across 200,000+ audited turns. False refusals on health-related queries sit below 0.4% on HealthBench Pro. There is no Indian launch event. No localised pricing.
No Rs 1,299/month subscription. Just API access, live, global, and priced in dollars. Developers in India can start using it today through the Gemini API, with billing in USD. Google has published a What’s New Guide and updated Antigravity documentation.
No hardware is involved. No phone is getting a ‘Hydrogen update’. This is infrastructure, quiet, priced, and already running.
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Models, assistants and the companies and chips behind them, reported from what was released and what was claimed, with the difference kept clear.
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