DeepSeek V3.2
DeepSeek
At a glance
- Price per 1M tokens (input)
- $0.28
- Price per 1M tokens (output)
- $0.40
- Context
- 163,840 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 9, 2026.
The DeepSeek V3.2 model is designed for users who require advanced tool calling capabilities, which involve invoking specific functions or tools to accomplish complex tasks. This model suits tasks that demand step-by-step reasoning, allowing users to break down problems into manageable parts and address them systematically. What distinguishes the vendor's approach is the emphasis on flexibility and adaptability, enabling users to apply the model to a wide range of applications and domains. By leveraging tool calling and step-by-step reasoning, users can tackle intricate challenges with precision and accuracy. This makes the DeepSeek V3.2 model an invaluable asset for professionals seeking to streamline their workflows and enhance their problem-solving capabilities.
Specifications & pricing
| Input (per 1M tokens) | $0.28 |
|---|---|
| Output (per 1M tokens) | $0.40 |
| Context window | 163,840 tokens |
| Max output | 163,840 tokens |
| Capabilities | tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official DeepSeek pricing.
What DeepSeek V3.2 would cost on your workload — run it through the cost calculator →
Where to try DeepSeek V3.2 for free
- DeepSeek offers a free chat — DeepSeek Chat. A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
Frequently asked questions
What is the DeepSeek V3.2 model good for+
The DeepSeek V3.2 model is well-suited for tasks that require tool calling and step-by-step reasoning, such as complex problem-solving and workflow automation, where the ability to invoke specific functions or tools is crucial
How do I get started with the DeepSeek V3.2 model+
To get started, users should familiarize themselves with the concept of tool calling, which refers to the process of invoking specific functions or tools to accomplish tasks, and then explore the model's capabilities and interfaces to determine how it can be applied to their specific use cases
How does the DeepSeek V3.2 model differ from other models in the line+
The DeepSeek V3.2 model differs from other models in the line through its unique combination of tool calling and step-by-step reasoning capabilities, which set it apart from models that may specialize in other areas, such as natural language processing or computer vision
What are the limitations of the DeepSeek V3.2 model+
The limitations of the DeepSeek V3.2 model include its potential complexity, which may require significant expertise to fully leverage its capabilities, and its dependence on high-quality input data to produce accurate results, highlighting the need for careful data preparation and validation
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