Gemini 4 Hydrogen
Gemini 4 Hydrogen is a chat model from Google, tracked here with third-party throughput and latency measurements alongside provider pricing.
API Pricing
| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $0.750 | $3.75 | $0.037 | |
| $1.50 | $7.50 | $0.075 |
Prices updated daily. Last check: Nov 13, 2026
Compare API pricing for every Gemini model →Gemini 4 Hydrogen pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Benchmarks measured Nov 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Modalities
- Text
Capabilities
Strengths & Limitations
Strengths
- Measured output throughput of approximately 249 tokens per second, which shortens wall-clock time on long generations
- Part of Google's Gemini family, so it fits workflows already built around Google model APIs and tooling conventions
- Streaming output rate makes it practical for use cases where the full response is consumed rather than read word by word
- Tracked across multiple serving providers on this page, allowing direct price comparison for the same model
- Independent runtime benchmarks from Artificial Analysis are available rather than only vendor-published figures
Limitations
- Time to first token of roughly 9.3 seconds, which is slow for interactive chat interfaces where immediate feedback matters
- Context window size is not confirmed in our data, so long-document workloads need verification against provider documentation
- We do not track confirmed quality benchmark scores for this model, making capability comparisons against peers difficult
- Supported input modalities are not recorded in our metadata and should be checked with the serving provider
- Latency and throughput can vary by provider and region, so the single benchmark figure may not match your deployment
Key Features
About Gemini 4 Hydrogen
Common Use Cases
Gemini 4 Hydrogen's measured profile — a long time to first token paired with fast sustained generation — suits workloads where the complete output matters more than instant responsiveness. That includes batch content generation, document drafting and rewriting, summarization pipelines, backend agents that call the model asynchronously, and offline evaluation or data-labeling jobs where a few extra seconds of startup cost is amortized across a long response. It is a weaker fit for latency-sensitive front-ends such as autocomplete, voice assistants, or live customer-facing chat, where users notice the initial delay. Because our metadata does not confirm the context window or modality support, teams planning long-context retrieval or multimodal pipelines should validate those requirements against Google's documentation before committing.
Frequently Asked Questions
How much does Gemini 4 Hydrogen cost?
Pricing varies by provider and by pricing type — input tokens, output tokens, cached input, and batch rates are often billed differently. Because providers adjust rates frequently, see the pricing table on this page for current per-provider figures rather than relying on any fixed number.
What is Gemini 4 Hydrogen best used for?
It fits text generation workloads where throughput matters more than instant first-token response: batch generation, summarization, drafting, and asynchronous backend agents. Its measured ~9.3 second time to first token makes it less suitable for highly interactive chat or voice interfaces.
How fast is Gemini 4 Hydrogen?
Artificial Analysis measures it at roughly 249 output tokens per second with a time to first token of about 9.3 seconds. In practice that means a noticeable pause before the response starts, followed by rapid streaming. Actual numbers depend on the provider, region, prompt length, and load.
What context window does Gemini 4 Hydrogen support?
Our database does not currently hold a confirmed context window figure for this model. Check Google's model documentation or the specific serving provider's API reference, since context limits can also differ between endpoints offering the same model.
Does Gemini 4 Hydrogen accept image input or support tool calling?
We do not track confirmed modality or tool-calling details for this model, so we cannot state either way. The serving provider's API documentation is the right place to verify which input types and function-calling features are exposed on the endpoint you plan to use.