Google: Gemini 4 Hydrogen
google/gemini-4-hydrogen
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, google/gemini-4-hydrogen is Google's text-output model with multimodal inputs, positioned for high-throughput agentic workflows, coding, and multi-model routing. The catalog lists a long context window, mandatory reasoning with selectable effort, structured outputs, and tool calling. These are catalog-reported capabilities rather than measured results; an independent model card and benchmark evidence were not available in this source pack.[1]
Strengths
- The catalog lists text, image, audio, file, and video inputs, text output, and a long context window.[1]
- OpenRouter positions the model for efficiency-oriented, high-throughput agentic, coding, and multi-model routing workloads.[1]
- Reasoning effort is selectable, and the parameter list includes structured outputs and tool calling.[1]
Limitations
- The evidence is catalog-only; an independent model card was not supplied, so suitability should be validated on the intended workload.[1]
- Reasoning is mandatory, although the catalog lists several selectable effort levels.[1]
- Knowledge cutoff and benchmark results are unspecified, only text output is reported, and the supplied description is truncated.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Google: Gemini 4 HydrogenSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
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
- Model ID
- google/gemini-4-hydrogen
- Canonical ID
- google/gemini-4-hydrogen-20261112
- Creator
- Added to OpenRouter
- 12.11.2026
- Context length
- 1,048,576
- Modality
- text+image+file+audio+video->text
- Input modalities
- audio, file, image, text, video
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1.5 / out $7.5
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default medium · efforts: xhigh, high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | input: audio |
| Video | No measurement | input: video |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Google AI Studio | 1,048,576 | $0.750 | $3.75 | — | — | 100% |
| 1,048,576 | $1.5 | $7.5 | — | — | 100% | |
| Google AI Studio | 1,048,576 | $1.5 | $7.5 | — | — | 100% |
| 1,048,576 | $1.65 | $8.25 | — | — | — | |
| 1,048,576 | $1.65 | $8.25 | — | — | 100% | |
| 1,048,576 | $2.7 | $13.5 | — | — | — | |
| Google AI Studio | 1,048,576 | $2.7 | $13.5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
- Google Search rolls out Gemini 4 Hydrogen, its largest model upgrade so farGoogle has made its Gemini 4 Hydrogen model available globally to all Search users, promising better intent understanding, improved query fan-out, and more visual responses.
- Google introduces Gemini 4 Hydrogen, a fast model for everyday and agentic workflowsGoogle launches Gemini 4 Hydrogen, a speed-focused model for coding and agentic work, across the Gemini app, Search, AI Studio, the Gemini API, and enterprise surfaces, with flat pricing over a 1 million-token context.