DeepSeek-V4 preview version released: millions of contexts, agent capabilities significantly upgraded, open source and free to use

Core conclusion

On April 24, DeepSeek officially released the preview version of DeepSeek-V4. This is the largest upgrade of the DeepSeek series to date, bringing three key breakthroughs: 1M million-word ultra-long context, new attention mechanism DSA (DeepSeek Sparse Attention), and special optimization of Agent capabilities. The model is divided into two versions: V4-Pro and V4-Flash, both of which have been launched on the official website and API, and the weights are simultaneously open source.

Key Points

• Published: April 24, 2026
• Core changes: V4-Pro Agent's capabilities have reached the best level of open source models, and its reasoning performance is comparable to the world's top closed source models.
• Context window: 1M tokens, standard for all series
• Open source: weights and technical reports published to HuggingFace and ModelScope
• Meaning for income-generating groups: AI Agent automated pipelines can be built at lower cost

Background and release information

The release of DeepSeek-V4 quickly aroused heated discussions on Hacker News, with related topics receiving 37+ points and a large number of discussions. As a flagship project in the domestic AI field, the V4 series released by DeepSeek has made breakthrough progress in multiple dimensions, especially the significant improvement in Agent capabilities, making it a force that cannot be ignored in the field of AI automation.

Key Impact (by Dimension)

Adaptation suggestions

Here are practical recommendations for content creators and AI automation practitioners:

• Agent workflow access: DeepSeek-V4 has been adapted and optimized for mainstream Agent products such as Claude Code, OpenClaw, and OpenCode. If your automated pipeline uses these frameworks, you can directly switch the backend model to deepseek-v4-pro to experience performance improvements.
• Long context scenario: The arrival of 1M context means that an entire technical manual, a complete code repository, or months of chat transcripts can be fed into the model in one go. It is recommended to try full input in content collection, code review, document generation and other scenarios to reduce the block complexity of RAG.
• Cost-performance switching: Use V4-Flash for simple reasoning tasks (text summarization, basic Q&A, code completion), and use V4-Pro thinking mode setting reasoning_effort=max for complex tasks (multi-step reasoning, code review, Agent decision-making) to find the optimal balance between cost and quality.
• Local deployment potential: Model weights have been open sourced and can be used as a private AI infrastructure solution. However, you need to pay attention to the hardware requirements, especially the video memory requirements of the 1M context.

Task List (Example)

• Access DeepSeek-V4 API (model: deepseek-v4-pro) in existing Agent workflow
• Compare the performance differences between V4-Pro and currently used models on proxy tasks
• Evaluate the cost savings of V4-Flash replacing ChatGPT to handle daily content generation

Example: API call

# DeepSeek-V4 API （ OpenAI SDK）
curl -sS https://api.deepseek.com/chat/completions   -H "Authorization: Bearer $DEEPSEEK_API_KEY"   -H "Content-Type: application/json"   -d '{
    "model": "deepseek-v4-pro",
 "messages": [{"role": "user", "content": " 100 Python "}],
    "reasoning_effort": "max"
  }'

• DeepSeek-V4
• HuggingFace
• DeepSeek-V4

DeepSeek、OpenAI、ChatGPT、Claude、Claude Code、OpenClaw、OpenCode、Gemini、OpenClaw. The platform side will automatically match the maintained tools library and generate a hover card.

Internal link guidance

• Want to learn AI Agent tools systematically? Watch: AI Agent Tools 2026 Complete Tutorial: 5 Tools to Build an Automated Pipeline in 30 Minutes
• Real case: An 18-year-old with zero knowledge used AI Agent to create a SaaS with a monthly income of $5,000: 18-Year-Old Built a $5,000/mo SaaS With AI Agents — Zero Hand-Written Code
• More cases: Use AI Agent for automated content publishing, monthly income $1,500-$2,500 Actual review: OpenClaw + Claude Automated Publishing: $1,500–$2,500/mo Case Study