Model Families
Reasoning flagship, high-speed reasoning, general balance, code specialization — each has its strengths.
DeepSeek V4 Series
Latest GenerationThe fourth-generation model released in 2026. V4 Pro reaches new heights in complex reasoning, mathematical proofs, and Code Agent scenarios; V4 Flash meets extremely low latency needs for high-concurrency online requirements.
DeepSeek V4 ProDeepSeek V4 Flash
DeepSeek R1
Reasoning ChampionA model focused on deep reasoning, decomposing complex problems through chain-of-thought (CoT) mechanism. Outstanding performance in math competitions, logical reasoning, and multi-step planning tasks.
DeepSeek R1
DeepSeek V3
Cost-Efficiency KingUses an innovative MoE (Mixture of Experts) architecture, achieving ultimate cost-efficiency while maintaining strong general capabilities. Balanced across coding, math, and multilingual task.
DeepSeek V3
Core Capabilities
Key technical advantages of DeepSeek series models.
Top-Tier Reasoning Capability
DeepSeek continues to breakthrough in complex reasoning tasks. The R1 model, through deep chain-of-thought analysis, approaches or even surpasses human expert levels on AIME math competition, GPQA scientific reasoning, and other authoritative benchmarks.
First-Class Coding Capability
From Python scripts to distributed systems, DeepSeek performs outstandingly in code understanding and generation, suited for code generation, completion, refactoring, and debugging tasks.
MoE Architecture Innovation
DeepSeek V3/V4 uses the Mixture of Experts (MoE) architecture, activating only partial parameters during reasoning, achieving equivalent or better performance than dense models at lower computational cost.
Function Calling & Agent
V4 series natively supports function calling and tool use, capable of autonomously planning execution steps, calling external APIs, and handling multi-cycle interactions — the ideal foundation for building complex AI Agents.
Technical Highlights
DeepSeek's differentiated innovation in core technology.
Chain-of-Thought (CoT) Reasoning
The R1 model displays the complete reasoning process before answering, decomposing complex problems into verifiable reasoning steps. Users can see the model's chain of thought, improving result interpretability and trustworthiness.
Open Source Spirit
DeepSeek adheres to the open-source path, fully open-sourcing V3 model weights and training details, driving the entire industry's deeper understanding of large model technology. Transparency is DeepSeek's core DNA.
Extreme Cost-Efficiency
Through MoE architecture and efficient training strategies, DeepSeek maintains high cost-efficiency at equivalent performance levels. V4 Flash is billed at ¥1 input / ¥2 output per million Tokens.
Long Context Understanding
V4 series supports a 131K Token context window, capable of processing long documents, large code repositories, and complex multi-turn conversations, maintaining robust performance on long-dependency understanding.
Use Cases
DeepSeek is playing a core role in these fields.
Math & Scientific Reasoning
R1's deep reasoning capability makes it the go-to tool for mathematical proofs, scientific analysis, and complex logical deduction.
AI Agent Development
V4 series' function calling and tool use capabilities enable developers to build autonomous agents that complete complex tasks.
Code Development Assistant
DeepSeek models deeply understand code semantics, providing comprehensive coding support from completion and bug fixing to architecture refactoring.
High-Concurrency Online Services
V4 Flash's low-latency, high-throughput characteristics are suited for building online customer service, real-time Q&A, and other high-concurrency applications.
Academic Research Assistance
Strong reasoning and long-text processing capabilities help researchers with paper analysis, literature review, and research planning.
Data Analysis & Reporting
Excels at extracting insights from large datasets and generating analysis reports — a capable assistant for data-driven decision-making.