> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kymaapi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# DeepSeek V4 Flash

> Fast, cheap V4-tier model. 1M context, MoE, MIT licensed.

## Overview

`deepseek-v4-flash` is the fast variant in DeepSeek's V4 lineup (April 2026). 284B total / 13B active MoE, MIT license. Same V4 family behavior at a fraction of the cost — built for general work, coding, and long-context bulk tasks where you want value over flagship quality.

## Specs

| Field              | Value                                     |
| ------------------ | ----------------------------------------- |
| Model ID           | `deepseek-v4-flash`                       |
| Best for           | General work, coding, long context, value |
| Context window     | 1,000,000 tokens                          |
| Max output tokens  | 65,536                                    |
| Input modalities   | Text                                      |
| Output modalities  | Text                                      |
| Tool calling       | Yes                                       |
| Structured outputs | Yes                                       |
| Reasoning          | Yes                                       |
| Prompt caching     | Yes                                       |
| Speed              | Fast                                      |
| Cost band          | Cheap                                     |
| Release stage      | Preview                                   |

## Pricing

|        | Per 1M tokens |
| ------ | :-----------: |
| Input  |    \$0.189    |
| Output |    \$0.378    |

## Use this when

* You want strong V4-family behavior at the lowest possible price.
* You need 1M context for long documents or large repos but don't want flagship cost.
* You're running high-volume coding or extraction workloads.
* You want a default cheap model that still handles tools and reasoning.

## Pick something else when

* You need the strongest V4 quality: use [`deepseek-v4-pro`](/models/deepseek-v4-pro).
* You want the best general default overall: use [`qwen-3.6-plus`](/models/qwen-3.6-plus).
* You want the previous-gen DeepSeek flagship at value pricing: use [`deepseek-v3`](/models/deepseek-v3).
* You need vision / multimodal input: use [`gemma-4-31b`](/models/gemma-4-31b) or [`kimi-k2.6`](/models/kimi-k2.6).

## Example

```python theme={null}
from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="ky-...")

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Summarize the key tradeoffs in this RFC, then list the open questions."}]
)
```