Gemini 4 Hydrogen now available on AI Gateway

Vercel's AI Gateway added Google's Gemini 4 Hydrogen, a model that succeeds Gemini 3.8 Flash while staying in the same latency class, according to Vercel. Vercel said Hydrogen improves agentic coding, knowledge work and tool use, follows system instructions and task boundaries more closely, and offers stronger grounding that reduces unsupported claims in search-backed answers and invented tool or test results in coding reports. Developers call the model as `google/gemini-4-hydrogen` through AI Gateway, which Vercel says reflects provider pricing with no markup and no platform fee on inference, including Bring Your Own Key requests.

Gemini 4 Hydrogen from Google https://vercel.com/ai-gateway/models/gemini-4-hydrogen is now available on AI Gateway. Gemini 4 Hydrogen succeeds Gemini 3.8 Flash, improving agentic coding, knowledge work, and tool use while staying in the same latency class. It handles longer engineering tasks and produces better-researched documents, spreadsheets, and presentations in fewer agent steps. Hydrogen follows system instructions, formatting requirements, and task boundaries more closely, with more reliable tool orchestration across long conversations. Improvements in visual reasoning and technical problem-solving support multimodal workflows, while stronger grounding reduces unsupported claims in search-backed answers and invented tool or test results in coding reports. Use google/gemini-4-hydrogen as the model name: To use it in Claude Code, Codex, Cursor, and more, install the latest Vercel CLI and run setup: Then select google/gemini-4-hydrogen in the agent. See the coding agents guide https://vercel.com/docs/ai-gateway/coding-agents for details. Try Gemini 4 Hydrogen in the model playground https://vercel.com/ai-gateway/models/gemini-4-hydrogen . AI Gateway provides a unified API for calling models, tracking usage and cost, and configuring retries, failover, and performance optimizations for higher-than-provider uptime. It includes built-in custom reporting https://vercel.com/changelog/custom-reporting-ai-gateway , Zero Data Retention support https://vercel.com/blog/zdr-on-ai-gateway , budgets for API keys https://vercel.com/docs/ai-gateway/authentication-and-byok/api-keys , routing rules https://vercel.com/docs/ai-gateway/models-and-providers/routing-rules , and more. AI Gateway reflects provider pricing with no markup and does not charge a platform fee on inference, including on Bring Your Own Key https://vercel.com/docs/ai-gateway/authentication-and-byok/byok BYOK requests. You can view all language models https://vercel.com/ai-gateway/models?type=text available on AI Gateway.