Last refreshed 2026-11-13. Next refresh: weekly.
Why use Gemini 4 Hydrogen on Vercel AI Gateway?
Vercel AI Gateway offers Gemini 4 Hydrogen with pay-as-you-go pricing at $1.50/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Gemini 4 Hydrogen across 4 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport AI_GATEWAY_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],google/gemini-4-hydrogenRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="google/gemini-4-hydrogen",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "google/gemini-4-hydrogen", not the LLMReference slug "gemini-4-hydrogen".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare Gemini 4 Hydrogen Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Google AI Studio | $1.50 | $7.50 |
| GCP Vertex AI | $1.50 | $7.50 |
| OpenRouter | $1.50 | $7.50 |
| Vercel AI Gateway | $1.50 | $7.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $7.50 |
Capabilities
About Gemini 4 Hydrogen
Gemini 4 Hydrogen is Google DeepMind's fast, lower-cost Gemini 4 model, released generally available on November 12, 2026 in the Gemini API, Google AI Studio and Vertex AI (Gemini Enterprise Agent Platform). Google positions it for everyday coding, agentic workflows and multimodal work, alongside Gemini 4 Carbon for the hardest problems; its model card says it is adapted from Gemini 4 Carbon. It takes text, image, video, audio and PDF input and returns text, with a unified 1,048,576-token context window and long decode up to 1,048,576 output tokens (65,536 by default).