DeepSeek-V4 Series · Latest Release 2026

DeepSeek-V4 Online — Direct Web Chat Entry

A stable, efficient platform to use DeepSeek-V4 online. Supports million-token long-context processing and top-tier deep reasoning — click to jump straight into the web chat and try the latest DeepSeek-V4-Pro and Flash versions.

Core Model Highlights

The DeepSeek-V4 series breaks new ground across context length, reasoning, Agent capabilities, and more

1M

Million-Token Context Window

Process ultra-long documents and entire codebases in one pass

2

Two Editions

Pro flagship and Flash lightweight versions

Leading

World Knowledge

Leads open-source models in world knowledge benchmarks

Agent

Enhanced Agent Capabilities

Major gains in agentic coding and tool use

Vision

Image Understanding

Upload images for analysis — multimodal conversations made intuitive

CoT

Deep Reasoning

Chain-of-thought enabled by default for smarter learning, writing, and Q&A

Free to Try · Available Now

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Million-token context, top-tier reasoning, Agent intelligence — the next generation of AI is ready. Start your intelligent journey with one click.

1M ContextPro / Flash EditionsEnhanced Agent Capabilities

Model Edition Comparison

Choose Pro for flagship performance or Flash for lightweight speed — both support million-token context

Flagship

DeepSeek-V4-Pro

  • 1.6T total parameters
  • 49B active parameters
  • 1M context window
  • Significantly enhanced Agent capabilities — experience on par with Sonnet 4.5
  • World knowledge benchmarks far ahead of other open-source models
  • Leads all open-source models in math, STEM, and competitive coding benchmarks
  • Chain-of-thought, JSON output, tool use, and context caching enabled by default
Lightweight

DeepSeek-V4-Flash

  • 284B total parameters
  • 13B active parameters
  • 1M context window
  • Strong capabilities with lower latency and lower cost
  • Approx. $0.14 overseas / ¥1.25 domestic per million input tokens
  • Matches Pro on straightforward tasks
  • Chain-of-thought, JSON output, tool use, and context caching enabled by default

Million-Context Capability

What does a 1M (million-token) context window mean? You can process the full text of The Three-Body Problem trilogy in one go, or the complete context of an entire large code repository.

DeepSeek pioneered a new attention mechanism that compresses along the token dimension, combined with DSA sparse attention. The 1M context window is now standard across all official services.

Compute and memory requirements for processing 1M-token context have dropped dramatically — V4-Pro needs only 27% of the compute and 10% of the VRAM compared to V3.2, making ultra-long context truly practical.

27%

V4-Pro compute

vs. V3.2 for 1M context

10%

V4-Pro VRAM usage

vs. V3.2 for 1M context

1M

Context window

Standard on all official services

Put It in Perspective

1M context ≈ ~750,000 Chinese characters ≈ The Three-Body Problem trilogy in full + extensive supplementary material

Agent Capabilities

DeepSeek-V4 is the Agentic Coding model used internally at DeepSeek, achieving the best open-source score on Agentic Coding benchmarks

DeepSeek-V4 Code Generation

DeepSeek-V4 agentic coding that understands full project context for development

DeepSeek-V4 Document Generation

DeepSeek-V4 auto-generates technical docs and reports from long documents

DeepSeek-V4 Task Planning

DeepSeek-V4 decomposes and automates complex multi-step workflows

DeepSeek-V4 Tool Use

DeepSeek-V4 calls external APIs, databases, and developer toolchains

Optimized for Leading Agent Products

Claude CodeOpenClawOpenCodeCodeBuddy

DeepSeek-V4 Reasoning & Knowledge

DeepSeek-V4 delivers outstanding results across authoritative benchmarks — ranked #1 in China on Chinese evaluation suites

87.5%

MMLU-Pro

90.1%

GPQA Diamond

84.4%

Chinese-SimpleQA

93.5%

LiveCodeBench

3206

Codeforces Rating

70.98

DeepSeek-V4 · SuperCLUE Pro

#1 in China

68.82

DeepSeek-V4 · SuperCLUE Flash

Close behind

+20

DeepSeek-V4 Agent capability gain

vs. V3.2

+10

DeepSeek-V4 Math reasoning gain

vs. V3.2

+12

DeepSeek-V4 Instruction following gain

vs. V3.2

Frequently Asked Questions

What you may want to know about the DeepSeek-V4 model series

What is DeepSeek-V4? What are the core upgrades?

DeepSeek-V4 is DeepSeek's latest large language model series, released in 2026. Core upgrades include a million-token (1M) context window, significantly enhanced Agent capabilities, and major gains across math reasoning, code generation, and world knowledge benchmarks. DeepSeek-V4 comes in Pro and Flash editions to suit different use cases.

What is the difference between DeepSeek-V4-Pro and DeepSeek-V4-Flash?

DeepSeek-V4-Pro has 1.6T total parameters and 49B active parameters — a flagship model for complex reasoning, agentic coding, and long-document analysis. DeepSeek-V4-Flash has 284B total parameters and 13B active parameters, delivering lower latency and lower cost while retaining strong capabilities — ideal for everyday chat and high-frequency simple tasks. Both support a 1M context window.

What can DeepSeek-V4's million-token context window do?

DeepSeek-V4's 1M-token context window equals roughly 750,000 Chinese characters — enough to process ultra-long legal contracts, entire code repositories, dozens of academic papers, or full novels in one pass. Compared to the previous DeepSeek generation, V4 requires only 27% of the compute and 10% of the VRAM to handle million-token context, making ultra-long context truly usable.

How do I call DeepSeek-V4 via API?

DeepSeek-V4 supports OpenAI Chat Completions-compatible and Anthropic-compatible APIs. Set model_name to deepseek-v4-pro or deepseek-v4-flash in your API request. Base URL: https://api.deepseek.com. See our tutorials for detailed integration guides.

How strong are DeepSeek-V4's Agent capabilities?

DeepSeek-V4 is the Agentic Coding model used internally at DeepSeek and achieves the best open-source score on Agentic Coding benchmarks. It supports tool use, multi-step task planning, and code generation, and is optimized for leading Agent products including Claude Code, OpenClaw, and OpenCode.

Is DeepSeek-V4 an open-source model?

Yes. DeepSeek-V4 is open-sourced under the MIT license with model weights available for the community to deploy and build upon — continuing DeepSeek's commitment to making advanced AI reasoning accessible worldwide.

How much does DeepSeek-V4 improve over DeepSeek V3.2?

Compared to DeepSeek V3.2, DeepSeek-V4-Pro gains over 20 points in agent capabilities, nearly 10 points in math reasoning, and nearly 12 points in instruction following. On the SuperCLUE Chinese benchmark, DeepSeek-V4-Pro ranks #1 in China at 70.98, with the Flash edition close behind at 68.82.

Does DeepSeek-V4 support multimodal (vision) capabilities?

DeepSeek has launched vision mode, and DeepSeek-V4 supports multimodal image recognition and analysis. DeepSeek-V4.1, planned for June 2026, will add full coverage across text, image, and audio, along with a complete enterprise toolchain.

What is the price of DeepSeek-V4-Flash?

DeepSeek-V4-Flash is positioned as a high-value lightweight edition — approximately $0.14 per million input tokens overseas and ¥1.25 domestically. It matches Pro on simple tasks, making it an ideal choice for everyday personal use.

Do I need to migrate legacy DeepSeek API model names?

Yes. Legacy API model names deepseek-chat and deepseek-reasoner will be deprecated on July 24, 2026. Migrate deepseek-chat to deepseek-v4-flash and deepseek-reasoner to deepseek-v4-pro as soon as possible to avoid service interruption.

What use cases is DeepSeek-V4 best suited for?

DeepSeek-V4 excels across many scenarios: long-document analysis and summarization, software development and Agent automation, math and STEM reasoning, multilingual translation and writing, legal contract review, academic literature reviews, and more. Million-token context gives DeepSeek-V4 a unique edge on complex, long-text tasks.

How good is DeepSeek-V4 at Chinese?

DeepSeek-V4 delivers outstanding Chinese performance. On SuperCLUE, DeepSeek-V4-Pro ranks #1 in China at 70.98, and scores 84.4% on the Chinese-SimpleQA benchmark. Whether for Chinese conversation, writing, or knowledge Q&A, DeepSeek-V4 provides a fluent and accurate experience.

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Multimodal Progress & Roadmap

DeepSeek has launched vision mode with multimodal capabilities — the model understands text and analyzes image content.

DeepSeek-V4.1 is planned for release in June 2026, delivering full coverage across text, image, and audio, along with a complete enterprise toolchain.

V4.1 Roadmap Preview

  • 📝 Text understanding & generation
  • 🖼️ Image recognition & analysis
  • 🎵 Audio processing & understanding
  • 🏢 Enterprise toolchain

Latest Content

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