DeepSeek V4: The Ultimate Coding AI with 1M+ Context

Next-gen AI model with unprecedented coding abilities, running at 40% the cost of competitors.

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DeepSeek V4
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Key Features

1. Million+ Token Context Window

Process entire codebases in a single pass with context windows exceeding 1 million tokens. Enable true multi-file reasoning, understand relationships between components, trace dependencies, and maintain consistency across large-scale refactoring.

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Prompt

Analyze my entire codebase (500+ files) and refactor the authentication module to use JWT instead of sessions, ensuring all dependent services are updated.

DeepSeek V4 Response

I've analyzed all 523 files in your codebase. Here's my refactoring plan: 1. auth/session.ts → auth/jwt.ts (new implementation) 2. 47 files need import updates 3. 12 API endpoints require middleware changes 4. 3 test files need updates Proceeding with changes...

2. Unbeatable Pricing

Get state-of-the-art performance at just $0.10 per million tokens - 40% of the inference cost of comparable models like Claude Opus 4.5 and GPT-4.5 Turbo.

DeepSeek V4

$0.10 / 1M tokens
98% HumanEval

GPT-4.5 Turbo

$2.50 / 1M tokens
92% HumanEval

Claude Opus 4.5

$3.00 / 1M tokens
94% HumanEval

3. Coding Benchmark Champion

DeepSeek V4 scores 98% on HumanEval and 96% on GSM8K. It can diagnose and fix bugs spanning multiple files, analyze stack traces, trace execution paths, and propose fixes that account for full system context.

Multi-file Bug Fix

// V4 analyzes stack trace across 3 files: // Error in api/users.ts:47 ← calls auth/verify.ts:23 ← uses db/query.ts:89 // Root cause: Race condition in db/query.ts // Fix: Added mutex lock and retry logic // Updated 3 files, all tests passing ✓

4. Consumer Hardware Compatible

Run on consumer-grade hardware: dual RTX 4090s or a single RTX 5090 for the consumer tier. No need for expensive data center GPUs for local deployment.

5. Open Weights

Fully open-weight model continuing DeepSeek's tradition of accessible AI. Run V4 entirely within your own infrastructure for strict data governance requirements.

Using cases

Code Assistant: Help developers write, debug, and optimize code across multiple programming languages including Python, JavaScript, TypeScript, and more.

Math & Reasoning: Solve complex mathematical problems with step-by-step explanations, from basic algebra to advanced calculus and logic puzzles.

Writing Assistant: Generate high-quality articles, reports, emails, and creative content with proper structure and tone.

Data Analysis: Analyze datasets, generate insights, and create visualizations to help make data-driven decisions.

Translation: Accurate translation between multiple languages with context-aware understanding and natural expressions.

Research Assistant: Summarize papers, explain complex concepts, and help with academic research and literature review.

Articles about DeepSeek

Q & A

What is DeepSeek V4?
DeepSeek V4 is the latest flagship AI model from DeepSeek, featuring over 1 million token context, 98% HumanEval coding benchmark, and the ability to run on consumer GPUs with open weights.
How does DeepSeek V4 compare to GPT-4.5 and Claude Opus 4.5?
DeepSeek V4 outperforms both on coding benchmarks while running at 40% of their inference cost. It features a much larger context window (1M+ tokens) and can run on consumer hardware.
Can I run DeepSeek V4 locally?
Yes. DeepSeek V4 is designed to run on consumer-grade hardware. The consumer tier requires dual RTX 4090s or a single RTX 5090. Open weights allow full local deployment.
What makes DeepSeek V4 special for coding?
V4 can process entire codebases in one pass, understand multi-file relationships, diagnose cross-file bugs, and maintain consistency across large refactoring operations - all at 98% HumanEval accuracy.