DeepSeek Flash
At a glance
- Price per 1M tokens (input)
- $0.30
- Price per 1M tokens (output)
- $1.20
- Context
- 1,000,000 tokens
- Free access
- yes (see below)
Refreshed daily; data verified September 14, 2026. Published September 14, 2026.
DeepSeek Flash is designed for developers and technical teams building applications that require multimodal input handling and dynamic interaction with external systems. It supports image understanding, enabling analysis of visual content alongside text, and tool calling, which allows the model to invoke predefined functions to perform actions like querying databases or triggering APIs. The model emphasizes step-by-step reasoning to improve accuracy in complex tasks such as troubleshooting, planning, or multi-stage decision-making. DeepSeek’s approach focuses on balancing capability with efficiency, offering a streamlined architecture optimized for real-time use cases without unnecessary overhead.
Specifications & pricing
| Input (per 1M tokens) | $0.30 |
|---|---|
| Output (per 1M tokens) | $1.20 |
| Cache read (per 1M tokens) | $0.006 |
| Cache write (per 1M tokens) | free |
| Context window | 1,000,000 tokens |
| Max output | 393,216 tokens |
| Capabilities | images, tool calling, reasoning |
LiteLLM community dataset (MIT), verified September 14, 2026. Official DeepSeek pricing.
What DeepSeek Flash would cost on your workload — run it through the cost calculator →
Where to try DeepSeek Flash 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 types of tasks is DeepSeek Flash best suited for?+
DeepSeek Flash excels in scenarios requiring both visual and textual input processing, such as interpreting diagrams, analyzing product images, or extracting data from scanned forms. It is also effective when integrated into workflows that need to interact with external tools, like automating report generation or updating records in a CRM system. Its reasoning ability helps break down multi-step problems into manageable actions.
How does tool calling work in this model?+
Tool calling enables the model to request execution of specific functions defined by the developer, such as fetching live data or performing calculations. When the model determines a tool is needed, it outputs a structured call that your application can interpret and act upon. This allows the model to go beyond text generation and participate in active task completion.
How does DeepSeek Flash differ from other models in the DeepSeek lineup?+
Compared to larger variants in the DeepSeek family, Flash is optimized for lower latency and efficient resource use, making it suitable for applications where speed and responsiveness are critical. While it retains strong multimodal and reasoning abilities, it may have reduced capacity for extremely long-context or highly specialized knowledge tasks handled by larger models.
What should users be aware of when using DeepSeek Flash for image understanding?+
The model performs best with clear, well-lit images containing discernible objects, text, or patterns. Heavily obscured, low-resolution, or abstract visuals may reduce accuracy. It is not intended for medical imaging, satellite analysis, or other specialized visual domains without additional fine-tuning or validation.
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