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Reasoning · Google DeepMind

Gemini 4 Argon in the EU, processed in European data centres

Gemini 4 Argon is Google's flagship reasoning model, generally available since October 2026, built for complex software engineering, maths, science and long multi-step agents, with a context window of about one million tokens. On inference.eu you call it through an OpenAI-compatible API, processed in EU data centres and never used for training.

Contact salesExample request
  1. 01Context window: 1,048,576 tokens
  2. 02EU data centres
  3. 03Proprietary

What Gemini 4 Argon is

Gemini 4 Argon is a closed frontier model from Google DeepMind. Google announced it on 30 September 2026 with access for a small group of testers and made it generally available to developers on 13 October 2026. It accepts text, images, video, audio and PDF documents and produces text.

The context window is 1,048,576 tokens, shared between input and output. By default a single response can be up to 65,536 tokens; Google also designed the model for very long outputs of hundreds of thousands of tokens. Thinking is adjustable in three levels, low, medium and high, with medium as Google's default. Google does not publish the weights or the parameter count.

What it does well, and where it falls short

Google built Argon for hard problems that take many steps: real-world software engineering, large code migrations, mathematical and scientific problem solving, and autonomous agents. Google also highlights enterprise knowledge work such as legal research and drafting and financial research, reading charts and long documents, and finding and patching security vulnerabilities.

That depth has a cost. At high thinking levels Argon reasons at length, so responses take longer and use more output tokens than a Flash model. For routine chat, short extraction or high request volumes, Gemini 3.8 Flash is usually the better fit, and you can move to Argon only for the tasks that need it.

Calling Gemini 4 Argon through the API

inference.eu speaks the OpenAI request format, so the OpenAI SDKs for Python and JavaScript, LangChain, LlamaIndex and the Vercel AI SDK work as they are. Set the base URL to the inference.eu API, use your inference.eu key and set the model to gemini-4-argon. Tools and agents that use the Anthropic Messages format can call the same model there.

Send images as image_url content parts alongside your text. Tool calls, JSON output and streaming work as usual. If you plan to send audio, video or PDF files, or need responses longer than 65,536 tokens, get in touch first so we can confirm the request format for your account.

Gemini with EU data residency

When you call Gemini 4 Argon on inference.eu, your prompts, files and the model's responses are processed in data centres in the European Union. They are used to answer your request and are never used to train any model.

We sign one data processing agreement under Article 28 of the GDPR with every customer and provide our list of subprocessors, so your data protection officer can see who handles the data and where. The same agreement covers Gemini, Claude and every open model on inference.eu, all billed in euros on one invoice.

gemini-4-argon · Python
import os
from openai import OpenAI

client = OpenAI(base_url="https://api.inference.eu/v1", api_key=os.environ["INFERENCE_EU_API_KEY"])

response = client.chat.completions.create(
    model="gemini-4-argon",
    messages=[{"role": "user", "content": "Summarise this contract in five bullet points."}],
)
print(response.choices[0].message.content)

What teams use it for

  • 1

    Large code migrations

    Let an agent work through big codebases over many steps, planning changes, running tools and checking the results, with source code processed in the EU.

  • 2

    Legal and financial analysis

    Research and draft across long contracts, filings and reports that include tables and charts, where careful reasoning matters more than speed.

  • 3

    Security review

    Have the model look for vulnerabilities in your own code and propose fixes, with the code staying in EU data centres.

Gemini 4 Argon: common questions

The questions buyers, developers and legal teams ask us most. Something missing? Ask us directly.

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