Core conclusion

On April 24, 2026, DeepSeek officially released the V4 preview version (Preview), which directly benchmarks OpenAI GPT-5.5, Anthropic Claude Opus 4.7 and Google Gemini 3.1 Pro in open source form. This is DeepSeek’s most significant model upgrade after a year. The most critical strategic signal is: full support for Huawei’s Ascend 950 chip, marking a new stage of deep integration of China’s AI models and domestic computing power.

Key Points

• Release time: April 24-25, 2026 -Affects: Use of LLM API (especially cost-sensitive developers, AI Agent builders, automated content producers)
• Core changes: DeepSeek once again impacts the cutting-edge model landscape with its open source + extremely low-price strategy, reducing AI inference costs and expanding the space for AI applications.

Background: Transition from V3 to V4

At the end of 2024, DeepSeek V3 shocked the industry with "the training cost is only 6 million US dollars", breaking the consensus that "large models must burn billions of dollars". Since then, DeepSeek R1 has reached the top level on inference tasks, proving the potential of the MoE (Mixed Experts) architecture.

Today, the release of DeepSeek V4 preview version continues three core routes:

1. Open source first: Continuing the open strategy of V3, model weights and inference code are fully open
2. Price Butcher: Further reduce inference costs, targeting mid- and long-tail application scenarios with the largest API calls
3. Domestic computing power binding: Explicit support for Huawei's Ascend 950 chip, forming a complete technology stack of "Chinese model + Chinese chip"

36Kr's special report summarized the release of DeepSeek V4 into five key signals, including "the first in-depth adaptation of China's large model and domestic chips", "open source route's counterattack against closed source", etc.

Key Impact (by Dimension)

Adaptation suggestions

For developers who use AI tools to make money, the release of DeepSeek V4 means several real opportunities:

1. Reduce the cost per call of AI Agent: If you are using AI Agent to build automated workflows, switching to DeepSeek V4 API may reduce costs by 40-60%. More tasks can be run within the same budget.
2. Stability brought by domestic computing power: Binding to Ascend 950 means that domestic developers can run models on hardware that is not affected by export controls, which is crucial for long-term automated production.
3. Open source brings greater space for customization: By fine-tuning the domain (financial/legal/e-commerce content) based on open source weights, you can build your own differentiated model.

Task List

• Add DeepSeek V4 as an optional model backend in the AI Agent workflow
• Comparative test of the price-performance ratio of DeepSeek V4 and GPT-5.5/Claude Opus 4.7 in your daily tasks
• Pay attention to the deployment progress of V4 by domestic cloud platforms (Huawei Cloud/Alibaba Cloud/Baidu Cloud)
• Evaluate the feasibility of using DeepSeek V4 for automated content production pipelines

Example: Test DeepSeek V4 with API

Tools such as ```bash

DeepSeek V4 API

curl -sS https://api.deepseek.com/v1/chat/completions
-H "Authorization: Bearer $DEEPSEEK_API_KEY"
-H "Content-Type: application/json"
-d '{ "model": "deepseek-v4-preview", "messages": [{"role": "user", "content": " Python "}], "temperature": 0.7 }'

![Related](https://images.unsplash.com/photo-1620712943543-bcc4688e7485?w=1200)

##
- [36: DeepSeek V4](https://36kr.com/p/xxx)
- [TechCrunch: DeepSeek V4 Arrives as Open-Source AI Model](https://techcrunch.com/2026/04/25/deepseek-v4-preview/)

## （）

，`DeepSeek` 。 `OpenAI`（GPT-5.5 ）、`Claude`（Anthropic Claude Opus 4.7 ）、`Gemini`（Google Gemini 3.1 Pro ）。， `n8n`、`Hermes Agent` `LangGraph` integrate DeepSeek V4 into automated pipelines.

## Internal link guidance
- Want to learn how to use AI Agent tools in practice? See: [AI Agent Tools 2026 Complete Tutorial: 5 Tools to Build an Automated Pipeline in 30 Minutes](https://waytoclawearn.com/tutorials/ai-agent-tools-tutorial-20260418)
- A real case of someone using AI tools to achieve a monthly income of $5,000+: [18-Year-Old Built a $5,000/mo SaaS With AI Agents — Zero Hand-Written Code](https://waytoclawearn.com/cases/18-year-old-5000-mrr-vugola-zero-coding)
- Want to learn about the latest tools for AI-automated content production? Watch: [OpenClaw + Claude Automated Publishing: $1,500–$2,500/mo Case Study](https://waytoclawearn.com/cases/openclaw-content-empire-20260419)