---
title: "DeepSeek V4.1 Flash | Tarka Inference"
description: "DeepSeek's fast open model for everyday chat, tool use, and coding."
url: "https://tarkahq.com/inference/deepseek-v4-1-flash/"
---

Language model

# DeepSeek V4.1 Flash

DeepSeek's fast open model for everyday chat, tool use, and coding.

[Sign up](https://tarkahq.com/console?auth=signup) [Language model docs](https://tarkahq.com/docs/inference/llms/)

- **Status**: Available
- **Parameters**: 552B backbone
- **Context**: 1M
- **Best for**: Everyday chat, tool use, and coding inside applications

## Model IDs

| Model ID | Use |
| --- | --- |
| `deepseek-v4.1-flash` | Fast general-purpose chat, tool use, and coding |
| `deepseek-v4.1-flash-eu` | European provider endpoint |

Use one of the model IDs above with Chat Completions or Responses at `https://tarka.rest/v1`.

## Pricing

`deepseek-v4.1-flash`: $0.33 input · $0.0066 cached input · $1.32 output per million tokens

`deepseek-v4.1-flash-eu`: $0.33 input · $0.0066 cached input · $1.32 output per million tokens

 USD · catalog 2026-11-04.1. Release verified 2026-11-04. EUR uses the catalog conversion. [Live catalog](https://tarka.rest/control/v1/pricing).

## Overview

DeepSeek V4.1 Flash is DeepSeek’s open-weight model for fast, general-purpose work, released under the MIT license. It has 552 billion backbone parameters, activates 16 billion of them for each token it generates, and takes a context of about a million tokens.

## When to pick it

- Chat and assistant features inside an application
- Agents that call tools many times in one task
- Coding help where response time matters

## When to look elsewhere

- The hardest coding and agent work: try Kimi K3
- The highest volumes of simple requests: compare GLM-5.3 Flash

## In a tool loop

When a response carries `reasoning_content`, send it back with that assistant message in the next request. DeepSeek’s own API rejects tool requests that drop it, so keep it in every turn.