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DeepSeek-V4-Pro: New DeepSeek Flagship Model

DeepSeek-V4-Pro, released on April 24, 2026, is a preview large language model from DeepSeek’s V4 series, built as a Mixture-of-Experts model with 1.6T total parameters and 49B active parameters, and it supports a 1 million-token context window. It is aimed at advanced reasoning, coding, and long-horizon agent workflows, with a hybrid attention design meant to make very long-context use more efficient.

DeepSeek-V4-Pro is positioned for demanding tasks like complex software engineering, multi-step automation, and large-scale information synthesis. DeepSeek also pairs it with configurable reasoning depth, so users can trade speed for deeper thinking on harder prompts. 

Core Specs of DeepSeek-V4-Pro

• Architecture: Mixture-of-Experts with hybrid attention for long-context efficiency.
• Total parameters: 1.6T.
• Active parameters: 49B per token.
• Context window: 1M tokens.
• License: MIT.
• Image input: Not supported.

Key Features of DeepSeek-V4-Pro

Million-Token Context Handling

DeepSeek-V4-Pro is built to work on extremely long inputs, such as full codebases, large document sets, or multi-step agent tasks that would overwhelm smaller context windows. Its hybrid attention design is specifically meant to reduce compute and KV-cache overhead at this scale.

Strong Reasoning Modes

DeepSeek-V4-Pro supports multiple reasoning settings, commonly described as Non-think, Think High, and Think Max, so you can trade speed for deeper deliberation depending on the task. In practice, this means you can use it for quick chat, careful analysis, or maximum-effort problem solving.

Advanced Coding Ability

DeepSeek-V4-Pro is a strong model for software engineering, with benchmark claims in the top tier for code generation and codebase tasks. This makes it suitable for debugging, refactoring, repository-wide analysis, and agentic coding workflows.

Agentic Workflow Support

DeepSeek-V4-Pro is also strong in tool use, multi-step automation, and information synthesis, so it is meant for tasks where the model needs to plan, call tools, and continue across many steps. That is useful for research agents, coding agents, and document-processing systems.

What is DeepSeek-V4-Pro Best For

DeepSeek-V4-Pro is best for workloads that need both high capability and long context:

• Coding and software engineering: DeepSeek-V4-Pro is an open-source SOTA for agentic coding benchmarks, making it a good fit for debugging, refactoring, repo-wide understanding, and generating code across large projects.
• Long document analysis: its 1M-token context window makes it useful for reading entire codebases, long reports, legal or financial documents, and multi-document synthesis without losing track of earlier details.
• Math and STEM: it excels in math, science, and technical reasoning, which makes it suitable for structured analytical work.
• Knowledge-heavy Q&A: DeepSeek-V4-Pro can also be helpful when you need broad world knowledge and accurate factual answering, especially across large or messy information sets.

DeepSeek-V4-Pro vs Other Models

Aspect	DeepSeek-V4-Pro	DeepSeek-V4-Flash	DeepSeek-V3.2	GPT-5.5	Claude Opus 4.7
Architecture	MoE	MoE	MoE	Closed-Source	Closed-Source
Context Limit	1 million	1 million	128K-131K	1 million+	1 million
Reasoning Capability	★★★★★	★★★★☆	★★★☆☆	★★★★★	★★★★★
Response Speed	★★★★☆	★★★★★	★★★☆☆	★★★☆☆	★★★☆☆
Standout Feature	Unrivaled open-source STEM & Coding	1M standard context for simple agents	Reasoning-first, integrated tool-use with agentic workflows	Real-time self-correction & personalization	Hard reasoning and long coding tasks