Google Launches Gemini 4 Hydrogen, Bringing Gemini 4 to Free Users

• Dispatched: Nov 12, 2026 · 19:38 ET (Nov 13, 00:38 UTC)

One-sentence summary: Google DeepMind officially launched Gemini 4 Hydrogen at 14:30 ET on November 12, 2026, a fast execution model for everyday coding and agentic workflows priced at $1.50 per million input tokens and $7.50 per million output tokens, rolling out globally across all tiers and bringing Gemini 4 to free users for the first time.

Verification status: ✓ Official first-party announcement on the Google DeepMind blog

Core Facts & Consensus Delta:

Hydrogen is the fast execution tier of the Gemini 4 family, succeeding Gemini 3.8 Flash. Google says it scores 51 on the Artificial Analysis Intelligence Index at its default high thinking level, above the flagship reasoning model Argon's 50, and reaches 54 at its highest xhigh setting, while completing tasks about 2.5 times faster than 3.8 Flash. Pricing is flat across the full 1-million-token context window at $1.50 per million input tokens and $7.50 per million output tokens, with four thinking levels (low, medium, high, xhigh). The model is rolling out globally from today across all tiers of Google AI Studio, the Gemini API, Gemini for Business, the Gemini app, Google Search, and Antigravity for paid AI Pro and Ultra subscribers; free users can access it through automatic model selection. Hydrogen follows Gemini 4 Carbon, released on November 10 and aimed at long-horizon agents and cybersecurity, while Hydrogen targets high-frequency everyday execution.

Supply-Chain & Market Read-Through: Hydrogen pushes Gemini 4's fast tier to free and all developer tiers, directly lowering the cost of agentic loops: repeated small calls within a single task scale more easily at the $1.50/$7.50 price point, which could lift Google Cloud inference volumes and set a pricing reference for Anthropic's Claude and OpenAI's coding models. Integration with Antigravity's built-in Orchestrator and tools such as Cursor puts the model straight into high-frequency programming workflows; rising inference volume feeds through to utilization of Google's own tensor processing units and to the revenue mix of its cloud business, rather than stopping at benchmark rankings.

Next Catalysts & Watchpoints:

• Adoption of Hydrogen in developer tools such as Antigravity and Cursor, and developer feedback;
• Whether Google's next earnings call discloses API usage or revenue contribution from the Gemini 4 family.

Sources:

• Google DeepMind official blog (Published: 2026-11-12 14:30 ET / 19:30 UTC)
• AI Weekly (Published: 2026-11-12 15:08 ET / 20:08 UTC)

Information only, not investment advice.