DeepSeek V4: A Milestone in Domestic Large Models

DeepSeek V4 is the latest flagship large model launched by the DeepSeek team, achieving significant improvements in reasoning, coding, Chinese language, and other dimensions. This article will comprehensively analyze its core capabilities, performance, and access methods.
Model Overview

DeepSeek V4 is a flagship large language model launched by the DeepSeek team in 2026. Compared to the V3 version, V4 has achieved significant improvements in the following areas:
- Reasoning Ability: Mathematical reasoning and logical reasoning capabilities have been greatly enhanced, approaching GPT-4o level
- Code Generation: Supports more programming languages, with significantly improved code quality and executability
- Chinese Understanding: Chinese semantic understanding is more accurate, and generated content is more natural and fluent
- Context Window: Supports an ultra-long context of 128K tokens
- Tool Calling: Natively supports Function Calling, compatible with OpenAI format
- Response Speed: Inference speed optimized, with lower first-token latency
Benchmark Performance
| Test Item | DeepSeek V4 | V3 | Improvement |
|---|---|---|---|
| MATH Mathematical Reasoning | 85 | 78 | +7 |
| HumanEval Code | 87 | 80 | +7 |
| GPQA Scientific Q&A | 86 | 80 | +6 |
| MMLU Knowledge | 89 | 84 | +5 |
| IFEval Instruction Following | 83 | 77 | +6 |
From the data, DeepSeek V4 has achieved a 5-7 point improvement across all core metrics, and its overall capabilities are now close to or even partially surpassing GPT-4o.
Application Scenarios
Recommended Scenarios
| Scenario | Suitability | Description |
|---|---|---|
| Daily Conversation | Very Suitable | Excellent Chinese understanding, natural and fluent responses |
| Code Generation | Very Suitable | Supports multiple languages, high code quality |
| Mathematical Reasoning | Very Suitable | MATH score 85, strong logical reasoning |
| Long Document Processing | Suitable | 128K context, supports long document analysis |
| Agent Applications | Suitable | Comprehensive Function Calling support |
Pricing and Access
DeepSeek V4 pricing on the Ciyuan Circle platform:
| Item | Price |
|---|---|
| Input (Prompt) | 0.5 yuan / 1M tokens |
| Output (Completion) | 1 yuan / 1M tokens |
Quick Access
from openai import OpenAI
client = OpenAI(
base_url="https://www.ciyuano.com/v1",
api_key=***
)
response = client.chat.completions.create(
model="deepseek-v4",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)
Supports all client tools compatible with the OpenAI SDK, including ChatGPT Next Web, LobeChat, Cursor, Cherry Studio, and more.
Comparison with Other Models
| Dimension | DeepSeek V4 | GPT-4o | MiMo v2.5 PRO |
|---|---|---|---|
| Chinese Capability | Excellent | Good | Excellent |
| English Capability | Excellent | Excellent | Good |
| Code Generation | 87 | 85 | 88 |
| Mathematical Reasoning | 85 | 80 | 83 |
| Price | 0.5/1 yuan | approx. 10/30 yuan | Limited-time free |
Summary
DeepSeek V4 is currently one of the most comprehensive domestic large models. It performs excellently in reasoning, coding, Chinese language, and other dimensions, while maintaining a highly competitive price.
Recommendation Index: Suitable for most general scenarios, especially applications that require Chinese language capability and code generation.
Try Now: Register at Ciyuan Circle, get an API Key, and start using DeepSeek V4.
Related Articles
AI 提问技巧入门:让 AI 回答更准确的 7 个实用方法
明明 AI 功能强大,但每次提问得到的回答都差强人意?其实问题往往不在 AI,而在于你提问的方式。本文用最直观的方式教你 7 个让 AI 回答更准确的实用技巧,包括四要素公式、精准提问、背景信息、拆分任务、追问迭代、万能模板和常见错误,小白也能立即上手。
Tech FrontierAI 帮你写邮件和商务文档:零基础入门,五步写出一封专业邮件
写邮件太啰嗦、格式不规范、语气不对?本文教你用 AI 四步写出一封专业商务邮件——工作汇报、求职信、客户跟进、请假申请,附五种常用提示词模板。
Tech FrontierA Practical Guide to AI Programming Assistants: Code Generation, Bug Fixing, and Code Review All in One
A tutorial on using AI programming assistants for beginners, covering four key scenarios: code generation, bug fixing, code explanation, and code review, along with tips for effective prompting and tool recommendations.
Comments are not yet available, stay tuned