Gemini 4 Hydrogen
Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than...
Specifications
| Lab | Google DeepMind |
|---|---|
| Context window | 1M tokens |
| Input price | $1.50/1M |
| Output price | $7.50/1M |
| Release | Nov 2026 |
Strengths
- High-throughput agentic coding at lower cost and latency than flagship Gemini 4 models
- Mandatory reasoning with adjustable effort levels (low through xhigh) for cost control
- Multimodal input across text, image, audio, video, and files
- 1M-token context window for large codebases and multi-model routing
- $1.50/$7.50 per 1M tokens — frontier-lite pricing for volume workloads
Weaknesses
- Below flagship Gemini 4 models on the hardest reasoning and coding tasks
- Closed weights; API-only access
- No independent benchmark scores published yet at launch
Best for
- High-volume coding agents and agentic workflows
- Multi-model routing where cost and latency matter
- Long-context multimodal tasks at scale
In Depth: Gemini 4 Hydrogen
Summary
Gemini 4 Hydrogen is an AI model from Google DeepMind.
Released in Nov 2026. It takes audio, file, image, text, and video input and produces text output, with a context window of 1M tokens. Input pricing is $1.50 per 1M tokens and output is $7.50 per 1M tokens on OpenRouter.