DeepSeek R1
DeepSeek
At a glance
- Price per 1M tokens (input)
- $0.55
- Price per 1M tokens (output)
- $2.19
- Context
- 65,536 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 12, 2026.
The DeepSeek R1 model is designed for users who need to automate complex tasks and workflows by leveraging tool calling, which enables the model to invoke specific functions or tools to accomplish tasks. This model is well-suited for tasks that require step-by-step reasoning, allowing it to break down complex problems into manageable parts and solve them in a logical and methodical way. The vendor's approach focuses on providing a flexible and adaptable model that can be integrated into a variety of applications and systems. By using the DeepSeek R1 model, users can streamline their workflows and improve overall efficiency. The model's ability to reason and call tools makes it a valuable asset for businesses looking to automate and optimize their operations.
Specifications & pricing
| Input (per 1M tokens) | $0.55 |
|---|---|
| Output (per 1M tokens) | $2.19 |
| Context window | 65,536 tokens |
| Max output | 8,192 tokens |
| Capabilities | tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official DeepSeek pricing.
What DeepSeek R1 would cost on your workload — run it through the cost calculator →
Where to try DeepSeek R1 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 R1 model good for+
The DeepSeek R1 model is good for automating complex tasks and workflows that require step-by-step reasoning and tool calling, such as data processing and workflow automation
How do I get started with the DeepSeek R1 model+
To get started with the DeepSeek R1 model, users should familiarize themselves with the model's capabilities and limitations, and then integrate it into their application or system using the provided APIs and documentation
How does the DeepSeek R1 model differ from other models in the line+
The DeepSeek R1 model differs from other models in the line in its focus on tool calling and step-by-step reasoning, making it well-suited for tasks that require complex problem-solving and automation
What are the limitations of the DeepSeek R1 model+
The limitations of the DeepSeek R1 model include its dependence on the quality of the input data and the complexity of the tasks it is asked to perform, which can affect its overall performance and accuracy
Comparisons
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