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Reasoning · DeepSeek

Run DeepSeek V4 Flash in the EU through an OpenAI-compatible API

DeepSeek V4 Flash is DeepSeek's efficient mixture-of-experts reasoning model with a one-million-token context, released under the MIT licence. This page covers the official 0731 release, which replaced the April preview. On inference.eu your requests are processed in EU data centres, never in China, and never used for training.

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  1. 01284B · 13B
  2. 02EU data centres
  3. 03MIT

What DeepSeek V4 Flash is

DeepSeek V4 Flash is the smaller member of the DeepSeek V4 series. It is a mixture-of-experts model with 284 billion parameters, 13 billion of them active per token, and a context window of one million tokens. DeepSeek published a preview in April 2026 and the official release, DeepSeek-V4-Flash-0731, at the end of July 2026; we treat both as one model and serve the 0731 version.

The architecture combines two compressed sparse attention schemes to keep very long contexts affordable. The model supports three reasoning levels through reasoning_effort: low, high and max. DeepSeek describes the 0731 release as having substantially stronger agentic abilities than the preview. It reads and writes text.

What it does well, and where it falls short

DeepSeek V4 Flash is built for long-horizon agent work and coding at a low active-parameter cost. It can hold an entire repository, a long case file or months of chat history in one request, and at high effort it plans and checks its own work over many steps. For a model with 13 billion active parameters, it is unusually capable at tool-using tasks.

It is text-only; for images use DeepSeek V4.1 Flash. The max reasoning level can generate very long outputs, and DeepSeek recommends allowing up to 384K output tokens there, so cost and time grow quickly. For simple chat, low effort or a smaller model is the better choice. Its training reflects its maker's choices, including on politically sensitive topics.

Calling DeepSeek V4 Flash through the API

inference.eu uses the OpenAI request format, so the OpenAI SDKs, LangChain, LlamaIndex and most coding agents work as they are. Set the base URL to the inference.eu API, use your inference.eu key and set the model to deepseek-v4-flash.

DeepSeek ships its own prompt encoding instead of a standard chat template; we handle it, so you send normal messages. Set reasoning_effort to low, high or max. DeepSeek recommends temperature 1.0 with top_p 0.95 for agent tasks. Tool calls and streaming work as usual, and the reasoning is returned separately from the answer. The Anthropic Messages format is available too.

DeepSeek without sending data to China

Many European companies avoid DeepSeek's own app and API because data would be processed in China. The open weights remove that problem. On inference.eu, DeepSeek V4 Flash runs on infrastructure in the European Union: your prompts and responses are processed in EU data centres, nothing goes to DeepSeek, and nothing is used to train any model.

Every customer receives a data processing agreement under Article 28 of the GDPR and our subprocessor list, so you can show that no third-country transfer takes place for inference. Billing is in euros. The MIT licence allows commercial use with almost no conditions.

deepseek-v4-flash · 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="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Summarise this contract in five bullet points."}],
)
print(response.choices[0].message.content)

What teams use it for

  • 1

    Coding agents on large repositories

    Let an agent read a whole codebase, plan a change across many files and verify it, using the one-million-token context.

  • 2

    Long case and contract review

    Analyse a complete case file or a full set of contracts in a single request and reason about inconsistencies.

  • 3

    Multi-step research tasks

    Run agents that search, read, compare and summarise sources over many tool calls before producing a report.

DeepSeek V4 Flash: common questions

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

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