Million-token context
Read large repositories, long documents, and multi-step transcripts with room for full-task continuity.
Preview release / model id: deepseek-v4-pro
DeepSeek V4 Pro
Million-token context intelligence for code, research, reasoning, and agent workflows. Built for teams that need long memory without giving up sharp execution.
- Context
- 1M tokens
- Scale
- 1.6T / 49B active
- Modes
- Non-think to Max
- Focus
- Coding + agents
DeepSeek V4 Pro
A focused product page for the DeepSeek V4 preview family, tuned around the keyword deepseek-v4-pro and the use cases people search for first: long-context reasoning, production coding help, and agentic work.
Capabilities
Built around long context, sharp code, and controllable reasoning.
Coding strength
Use V4 Pro for implementation planning, debugging, refactoring, benchmark interpretation, and review loops.
Agent workflows
Pair long context with tool use and task decomposition for research, browsing, command execution, and handoff.
Daily intelligence
Switch down to direct responses when speed matters, then raise reasoning effort for hard decisions.
Reasoning Modes
Choose the depth that matches the work.
V4 Pro is presented with multiple reasoning effort modes so teams can trade latency for depth without changing the product surface.
Fast direct responses
Best for routine prompts, low-risk decisions, quick summaries, and everyday assistance.
Structured problem solving
Use for planning, analysis, code reasoning, mathematical work, and multi-constraint tasks.
Boundary-level reasoning
Reserve for the hardest prompts where deeper deliberation and tool-rich workflows matter most.
Selected Proof Points
Published V4 materials emphasize code, long context, and agentic evaluation.
DeepSeek V4 Pro Max result listed in the preview materials.
Competitive coding rating reported for the Max reasoning mode.
Software engineering resolved score from the published comparison.
Long-context benchmark result for million-token retrieval pressure.
Values are shown as concise product proof points from public DeepSeek V4 preview materials. Always verify current benchmark tables before using them in regulated procurement or formal model selection.
Use Cases
One model page for two entry paths.
For developers
- Review large diffs, logs, issue threads, and architecture notes in a single prompt.
- Prototype coding agents that need context continuity across command output and source files.
- Use the API docs as the source of truth for model names, request shape, and availability.
For everyday users
- Move from direct chat to deeper reasoning when the work becomes complex.
- Summarize dense documents, compare arguments, and preserve context across long sessions.
- Start with DeepSeek Chat when you want the fastest product entry point.
FAQ
DeepSeek V4 Pro basics.
What is DeepSeek V4 Pro?
DeepSeek V4 Pro is a preview model in the DeepSeek V4 series, positioned for million-token context, coding, reasoning, and agent workflows.
What does deepseek-v4-pro mean?
It is the keyword and model identifier this page is optimized around. Developers should confirm exact API model naming and availability in the current DeepSeek API documentation.
What is different about the V4 series?
Public V4 materials emphasize million-token context, hybrid attention architecture, improved long-context efficiency, and multiple reasoning effort modes.
Can I run the model locally?
The DeepSeek V4 Pro model card provides model files and local inference notes. Hardware, precision, and deployment requirements should be checked against the current model card.
Where should developers start?
Start with the DeepSeek API docs for hosted integration details, then use the model card for weights, license, inference notes, and technical report links.
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