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Gemini 3.8 Flash in the EU, processed in European data centres
Gemini 3.8 Flash is Google's most capable Flash model, released in September 2026 for coding, agents and business workflows at Flash speed, 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.
- 01Context window: 1,048,576 tokens
- 02EU data centres
- 03Proprietary
What Gemini 3.8 Flash is
Gemini 3.8 Flash is a closed model from Google DeepMind, released on 2 September 2026 and built on Gemini 3.7 Flash, which it has since replaced. Google describes it as its most intelligent Flash model. It accepts text, images, video, audio and PDF documents and produces text.
It takes up to 1,048,576 input tokens and can write up to 65,536 tokens in one response. Thinking is adjustable in three levels, low, medium and high, with medium as Google's default; the minimal level of some earlier Flash models is not supported. Google does not publish the weights or the parameter count.
What it does well, and where it falls short
Google built 3.8 Flash for long-horizon software engineering, autonomous agents and complex enterprise workflows, while keeping the speed and cost profile of the Flash line. It is a good default for chat assistants, document question answering, extraction from long files and agents that call many tools.
Google notes that on long, complex tasks the model deliberately takes smaller reasoning steps, calls tools repeatedly and checks its work, so it can use more tokens than you might expect. Set the thinking level to low for simple requests. For the hardest problems, such as large code migrations or deep research, Gemini 4 Argon goes further.
Calling Gemini 3.8 Flash 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-3.8-flash. Tools 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, get in touch first so we can confirm the request format for your account.
Gemini with EU data residency
When you call Gemini 3.8 Flash 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.
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-3.8-flash",
messages=[{"role": "user", "content": "Summarise this contract in five bullet points."}],
)
print(response.choices[0].message.content)What teams use it for
- 1
Company assistants
Answer staff questions over long policies, manuals and reports that fit into a single request thanks to the one-million-token window.
- 2
Agents with many tool calls
Run agents that search, call your APIs and check their own results over many steps, with every request processed in the EU.
- 3
Document extraction
Pull fields, tables and figures out of long reports and scanned pages into JSON that your systems can process.
Gemini 3.8 Flash: common questions
The questions buyers, developers and legal teams ask us most. Something missing? Ask us directly.
Related
- Gemini 4 ArgonUse Google's Gemini 4 Argon on inference.eu: requests processed in EU data centres, one data processing agreement, and nothing used for training.Reasoning
- Gemma 4 31BRun Google's Gemma 4 31B on inference.eu: an open multimodal model with 256K context behind an OpenAI-compatible API, processed in EU data centres.Vision
- Gemma 4 26B A4BRun Google's Gemma 4 26B A4B on inference.eu: a fast mixture-of-experts model with image input and 256K context, processed in EU data centres.Vision
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