DeepSeek-V4-Pro Description

DeepSeek-V4-Pro is an advanced Mixture-of-Experts language model built for high-performance reasoning, coding, and large-scale AI applications. With 1.6 trillion total parameters and 49 billion activated parameters, it delivers strong capabilities while maintaining computational efficiency. The model supports a massive context window of up to one million tokens, making it ideal for handling long documents and complex workflows. Its hybrid attention architecture improves efficiency by reducing computational overhead while maintaining accuracy. Trained on more than 32 trillion tokens, DeepSeek-V4-Pro demonstrates strong performance across knowledge, reasoning, and coding benchmarks. It includes advanced training techniques such as improved optimization and enhanced signal propagation for better stability. The model offers multiple reasoning modes, allowing users to choose between faster responses or deeper analytical thinking. It is designed to support agentic workflows and complex multi-step problem solving. As an open-source model, it provides flexibility for developers and organizations to customize and deploy at scale. Overall, DeepSeek-V4-Pro delivers a balance of performance, efficiency, and scalability for demanding AI applications.

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Pricing

Pricing Starts At:
$0.435 per 1M tokens (input)
Pricing Information:
$0.435 per 1 million input tokens (cache miss), $0.003625 per 1 million input tokens (cache hit), and $0.87 per 1 million output tokens
Free Version:
Yes

Integrations

API:
Yes, DeepSeek-V4-Pro has an API
View Integrations

Company Details

Company:
DeepSeek
Year Founded:
2023
Headquarters:
China
Website:
deepseek.com

Media

DeepSeek-V4-Pro Screenshot 1
DeepSeek-V4-Pro Screenshot 1
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Product Details

Platforms
Web-Based
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs

DeepSeek-V4-Pro Features and Options

DeepSeek-V4-Pro User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Developer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 26 - 99
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Great low cost powerful model

    Date: Aug 03 2026

    Summary: As a heavy user, DeepSeek-V4-Pro feels like a serious workhorse for developers who need long context, strong reasoning, coding ability, and flexibility.

    It is not magic, and it still needs supervision. But for deep coding sessions, agent workflows, large-context analysis, and technical problem-solving, it is one of the most useful models I would keep in my toolkit.

    Positive: DeepSeek-V4-Pro is one of those models I keep coming back to because it handles serious work without feeling ridiculously expensive. For coding, repo analysis, long debugging threads, and agent-style workflows, the 1M-token context window is a huge advantage.

    I also like that it feels strong across both reasoning and implementation. I can use it to think through architecture, explain a messy bug, generate a fix, write tests, and then sanity-check the tradeoffs without constantly switching models.

    The Pro-Max reasoning mode is especially useful when I need it to slow down and really work through something. It is not the mode I would use for every quick answer, but for hard technical problems, it gives the model a lot more room to reason.

    The open-weight angle is a big plus too. As someone who uses it heavily, I like having more flexibility than a purely closed API model gives me.

    Negative: It is still not something I would run on autopilot. For production code, I always review diffs, run tests, and check edge cases because even strong models can make confident mistakes.

    It can also be overkill for simple tasks. If I just need a quick explanation, small script, or lightweight edit, DeepSeek-V4-Flash may be the better fit.

    The size is another consideration. Open weights are great, but self-hosting a 1.6T-parameter MoE model is not casual infrastructure.

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