DeepSeek V4: Open Source AI Coder

Struggling with huge code files? DeepSeek V4 understands your entire project and provides instant, bug-free solutions.

Key Features

DeepSeek V4 Coding

Repo-Level Reasoning

Understands how changes in one file affect other files across your entire project. Perfect for large codebases and complex distributed systems.

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DeepSeek V4 Codebases

Engram Memory System

Near-infinite context retrieval with conditional memory. Process extremely long coding prompts and maintain context across massive codebases effortlessly.

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DeepSeek V4 Logic

Open-Source Coding King

The "coding king" challenger with open-weight release. Powerful AI made accessible to all—a stark contrast to closed Western competitors.

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How to use DeepSeek V4?

1

Describe Your Task

Ask DeepSeek V4 to code, debug, or review your project.

2

Upload Your Code

Share code files or documentation for context.

3

Get Working Solutions

Receive accurate code with explanations you can use immediately.

DeepSeek V4 vs. The Competition

2026 Benchmarks

GPT 5.2

DeepSeek V4

Primary Focus

General Automation

Software Engineering & Logic

HumanEval (Coding)

80%

92%

Architecture

Proprietary

671B MoE (Open Weights)

Context Window

400,000 Tokens

256,000 Tokens

Frequently Asked Questions

DeepSeek V4 is the smartest open-source coding model featuring repo-level reasoning capabilities and the proprietary Engram memory system. It achieved 92% on HumanEval coding benchmarks, surpassing many closed-source competitors. As an open-weight model (671B parameters), it provides complete transparency while delivering enterprise-grade coding assistance.
V4 understands how changes in one file affect others across entire codebases. The Engram memory system provides near-infinite context retrieval with conditional memory, processing extremely long coding prompts (100K+ tokens) while maintaining understanding of project structure, dependencies, and architectural patterns. Deep Think mode offers extreme logic depth for complex algorithms.
V4 excels at full-stack development, refactoring across multi-file projects, debugging complex distributed systems, API integration planning, code review at scale, architectural decisions, and algorithm optimization. Its open-source nature makes it ideal for security-conscious organizations and developers who need full control over their AI coding tools.
V4: 671B MoE architecture, open-source weights, 92% HumanEval, significantly faster inference, lower cost, repo-level reasoning. GPT-5.2: Proprietary, 80% SWE-Bench, 400K context. V4 excels at understanding large codebases and open-source flexibility; GPT-5.2 at general automation. V4's open nature enables self-hosting and customization.
Flowith maximizes V4's coding capabilities through: The Repo Navigator for multi-file project understanding, The Engram Memory Manager for extended context retention, The Architecture Analyst for system-wide impact assessment, and the Open-Source Integrator enabling custom deployment options. Flowith's canvas visualizes code relationships across files, making V4's repo-level reasoning tangible.

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Claim your daily credits and experience the smartest AI for complex coding.

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