gemini-4-hydrogen
Gemini 4 Hydrogen is the high-efficiency workhorse of Google’s Gemini 4 family, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency. It takes text, image, audio, video and file input.
Precio: Entrada: 360 créditos / 1 M de tokens (≈ $1.80); salida: 1800 créditos / 1 M de tokens (≈ $9.00).
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Gemini 4 Hydrogen API on ModelFold
Gemini 4 Hydrogen is the high-efficiency workhorse of Google’s Gemini 4 family, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency. It takes text, image, audio, video and file input. Try Gemini 4 Hydrogen in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Gemini 4 Hydrogen API
Gemini 4 Hydrogen at a glance
Gemini 4 Hydrogen is a chat model from Google. It accepts text, images, video, audio and files (such as PDF) as input and returns text, with a context window of up to 1M tokens.
Use it without hosting anything
On ModelFold you call Gemini 4 Hydrogen with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Gemini 4 Hydrogen
Up to 1M tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Understands images, video, audio and files (such as PDF)
Besides text, Gemini 4 Hydrogen accepts images, video, audio and files (such as PDF) as input, so a single request can combine instructions with visual or other media.
Function calling
Gemini 4 Hydrogen supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Adjustable reasoning effort
Choose a reasoning effort level (low, medium or high) per request to balance depth of thinking against speed and token usage.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Gemini 4 Hydrogen on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Gemini 4 Hydrogen responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "gemini-4-hydrogen" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Gemini 4 Hydrogen
Autonomous agents
Build agents that plan multi-step tasks, call your tools and APIs, and keep working toward a goal across long sessions.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
AI coding assistants
Generate, explain, debug and refactor code, review pull requests and work through multi-file changes in developer tools and IDE plugins.
Audio and video analysis
Summarize recordings, meetings and video clips, extract key points and answer questions about their content.
Frequently Asked Questions
What is Gemini 4 Hydrogen?⌄
Gemini 4 Hydrogen is the high-efficiency workhorse of Google’s Gemini 4 family, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency. It takes text, image, audio, video and file input.
Which inputs does Gemini 4 Hydrogen support?⌄
Gemini 4 Hydrogen accepts text, images, video, audio and files (such as PDF) and returns text. Through ModelFold you can send text and images (OpenAI-style image_url content); in the Playground you can also attach documents, which are converted to text.
How long is the context window of Gemini 4 Hydrogen?⌄
Up to 1M tokens, shared between your input and the model’s output.
Does Gemini 4 Hydrogen support function calling?⌄
Yes. Gemini 4 Hydrogen supports tools / function calling through the standard tools parameter of the chat completions API.
How is Gemini 4 Hydrogen billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Gemini 4 Hydrogen through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gemini-4-hydrogen", using your ModelFold API key as the Bearer token.
| Entrada | 360 créditos 1M tokens≈ $1.80 |
| Salida | 1800 créditos 1M tokens≈ $9.00 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gemini-4-hydrogen","messages":[{"role":"user","content":"Hello"}]}'