DeepSeek V4.1 Flash

deepseek-v4.1-flash

DeepSeek-V4.1-Flash is a fast and efficient multimodal AI model with advanced reasoning, coding, and agent capabilities. Supporting up to 1M tokens of context and native vision understanding, it delivers frontier-level intelligence with lower inference costs, making it ideal for AI agents, automation, coding assistants, and scalable applications.

Context Window

1M tokens

Maximum Output

384K tokens

Release Date

Sep 10, 2026

Modalities

DeepSeek V4.1 Flash Pricing

Input PriceOutput PriceCache Read
$0.2857/M$1.1429/M$0.0057/M

DeepSeek V4.1 Flash API Capabilities

Reasoning

Supported

Tool calling

Supported

Temperature parameter

Supported

Attachments

Supported

Knowledge Base

2025-05-01

Endpoint Protocols

Completions APIResponses APIMessages API

DeepSeek V4.1 Flash Model Highlights

DeepSeek V4.1 Flash combines native visual understanding, a one-million-token context window, controllable reasoning and an architecture optimized for input-heavy agent workloads.

Native Visual Understanding

The model jointly processes image and text representations, enabling visual evidence to inform its reasoning and text responses.

Million-Token Context

A context window of up to one million tokens supports analysis of large repositories, extensive documents and long-running agent histories.

Controllable Reasoning

Reasoning effort can be continuously adjusted from 1 to 100, allowing developers to balance deliberation against runtime for each workload.

Efficient Asymmetric Architecture

Its Causal Encoder-Decoder activates 8B parameters during input processing and 16B during generation, while compressed attention reduces persistent KV-cache requirements.

DeepSeek V4.1 Flash Use Cases

DeepSeek V4.1 Flash is suited to repository-scale software work, visual document analysis, long-context research and multi-step automation.

Repository-Scale Development

Inspect large codebases, trace dependencies, implement cross-file changes and verify fixes through terminal-based coding workflows.

Visual Document Analysis

Interpret screenshots, charts and document images to answer questions, extract relevant details and produce text summaries.

Long-Context Research

Review extensive technical materials in one working context, connect evidence across sections and produce structured findings.

Multi-Step Agent Automation

Plan and execute tool-assisted workflows that combine information gathering, reasoning and code execution to complete operational tasks.

How to Use DeepSeek V4.1 Flash via the TokenHub API

Create API key
import OpenAI from "openai"

const client = new OpenAI({
  apiKey: process.env.TOKENHUB_API_KEY,
  baseURL: "https://us-api.tokenhub.com/v1",
})

const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)

DeepSeek V4.1 Flash Benchmarks

DeepSeek V4.1 Flash (Reasoning, Max Effort)

Index score
Artificial Analysis Intelligence IndexArtificial Analysis broad capability aggregate39.5

Metrics sourced from Artificial Analysis

DeepSeek V4.1 Flash Media and Demos

Verified public announcements, technical explainers, and community tests of DeepSeek V4.1 Flash.

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DeepSeek V4.1 Flash FAQs

Common questions about DeepSeek V4.1 Flash on TokenHub.

What is DeepSeek V4.1 Flash?+

It is DeepSeek's multimodal Mixture-of-Experts model with a 552B-parameter backbone, asymmetric Causal Encoder–Decoder architecture, and support for text and image inputs.

What is DeepSeek V4.1 Flash best suited for?+

It is well suited to coding agents, long-context analysis, visual document understanding, and high-throughput workflows that repeatedly process large inputs.

What are its main strengths?+

Its strengths include efficient asymmetric computation, a substantially smaller persistent KV cache, a one-million-token context, native image understanding, and strong support for agentic workloads.

What limitations or tradeoffs should I consider?+

The open weights are very large to self-host, visual inputs produce text rather than images, and important outputs still require validation. Test quality, latency, and total cost on your own workload.

How do I use DeepSeek V4.1 Flash on TokenHub?+

Select deepseek-v4.1-flash in your TokenHub API request and use the endpoint and credentials shown in your account. Confirm the current input format and limits in TokenHub's model documentation.

How is pricing and availability determined?+

DeepSeek offers the model through its API and uses peak and off-peak pricing. TokenHub rates and regional availability can differ, so check the live TokenHub model page before deployment.

When should I choose another model?+

Choose another model if you need image generation, a much smaller local deployment, or a provider-specific ecosystem feature. Compare candidates on representative prompts before committing.

Ready to use DeepSeek V4.1 Flash?

Use one API key to access DeepSeek V4.1 Flash and more AI models through TokenHub.

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