DeepSeek V4 Flash
DeepSeek
At a glance
- Price per 1M tokens (input)
- $0.14
- Price per 1M tokens (output)
- $0.28
- Context
- 1,000,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified August 15, 2026. Published August 9, 2026.
The DeepSeek V4 Flash model is designed for businesses and organizations that require advanced reasoning and problem-solving capabilities. This model is well-suited for tasks that involve complex decision-making, where a series of logical steps need to be taken to arrive at a solution. Tool calling, or function calling, is a key capability of this model, which allows it to leverage external tools and functions to enhance its reasoning abilities. The vendor's approach to developing this model focuses on enabling step-by-step reasoning, which allows the model to break down complex problems into manageable parts and solve them in a logical and methodical way. This approach distinguishes the DeepSeek V4 Flash model from other models in the market, which may rely more on pattern recognition or brute force computation.
Specifications & pricing
| Input (per 1M tokens) | $0.14 |
|---|---|
| Output (per 1M tokens) | $0.28 |
| Cache read (per 1M tokens) | $0.0028 |
| Cache write (per 1M tokens) | free |
| Context window | 1,000,000 tokens |
| Max output | 8,192 tokens |
| Capabilities | tool calling, reasoning |
LiteLLM community dataset (MIT), verified August 15, 2026. Official DeepSeek pricing.
What DeepSeek V4 Flash would cost on your workload — run it through the cost calculator →
Where to try DeepSeek V4 Flash for free
- Free via NVIDIA NIM — id
deepseek-ai/deepseek-v4-flash-0731. Verified August 8, 2026. - 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 kind of tasks is the DeepSeek V4 Flash model good for+
The DeepSeek V4 Flash model is good for tasks that involve complex decision-making, such as evaluating multiple options, weighing pros and cons, and making recommendations based on logical analysis
How do I get started with using the DeepSeek V4 Flash model+
To get started with using the DeepSeek V4 Flash model, you will need to integrate it into your existing workflow or application, and provide it with the necessary input data and tools to perform the desired tasks
How does the DeepSeek V4 Flash model differ from other models in the DeepSeek line+
The DeepSeek V4 Flash model differs from other models in the DeepSeek line in its ability to perform step-by-step reasoning and tool calling, which allows it to tackle more complex and nuanced problems
What are the limitations of the DeepSeek V4 Flash model+
The limitations of the DeepSeek V4 Flash model include its reliance on high-quality input data and its potential vulnerability to biases in the tools and functions it calls upon
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