DeepSeek-V4-Pro
High-capability frontier LLM with 1M context, stronger agent performance, and dual thinking modes
DeepSeek-V4-Pro
High-capability frontier LLM with 1M context, stronger agent performance, and dual thinking modes
DeepSeek-V4-Pro Overview
DeepSeek-V4-Pro is DeepSeek's flagship V4 language model for coding, reasoning, and agent workflows that need stronger overall capability than the Flash variant. It supports both thinking and non-thinking modes, a 1M token context window, up to 384K output tokens, tool calls, JSON output, and long-context operation for demanding software, research, and structured professional workloads.
How to Use DeepSeek-V4-Pro
Overview
DeepSeek-V4-Pro is the higher-capability model in DeepSeek's V4 language model family.
It is built for teams that need stronger reasoning, coding, and agent performance than the Flash variant while keeping the same large-context, tool-oriented workflow style.
Strengths
Stronger Frontier Capability
DeepSeek-V4-Pro is positioned as the more capable sibling of DeepSeek-V4-Flash. It is the better fit when quality, depth, and harder multi-step reasoning matter more than minimizing cost and latency.
Dual Thinking Modes
The model supports both thinking and non-thinking modes. That makes it useful across a range of workloads, from deliberate reasoning-heavy tasks to production flows that still need structured, lower-overhead responses.
Very Large Context Window
DeepSeek-V4-Pro supports a 1M token context window with up to 384K output tokens. This makes it suitable for large repositories, long documents, retrieval-heavy workflows, and agent systems that need to keep substantial context in scope.
Strong Tool Use
The model supports tool calls and structured API workflows, which makes it a good fit for function-calling systems, coding agents, and production assistants that need external actions in addition to pure text generation.
Better for Harder Agent Tasks
Within the V4 family, Pro is the stronger option when an agent needs more reliable decomposition, planning, reasoning depth, and execution quality over long multi-step tasks.
Capabilities
Text-to-Text
DeepSeek-V4-Pro handles coding assistance, reasoning, planning, summarization, structured generation, research-oriented outputs, and other general language tasks.
Tool Calling
The model supports tool calls in API workflows, making it suitable for agent orchestration, external action pipelines, and function-driven application design.
Long-Context Reasoning
DeepSeek-V4-Pro is designed for workflows where very large context windows and long outputs are central to the task.
Input and Output
- AIR ID:
deepseek:v4@pro - Input: text
- Output: text
- Context window: 1M tokens
- Max output: 384K tokens
- Thinking modes: thinking and non-thinking
- Tool use: supported
- JSON output: supported
Best Fit
- Advanced coding assistants
- Long-horizon agents
- Large-document analysis
- Complex research and planning
- Higher-capability production LLM workflows
More models from DeepSeek
DeepSeek-V4-Flash is DeepSeek's fast, efficient, and cost-focused frontier language model for coding, reasoning, and agent workflows. It supports both thinking and non-thinking modes, a 1M token context window, up to 384K output tokens, tool calls, JSON output, and efficient long-context operation for software, research, and structured professional tasks.