> ## 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 Pro

> DeepSeek's V4 flagship — 1.6T MoE for top reasoning, complex coding, and long-context work.

## Overview

`deepseek-v4-pro` is DeepSeek's V4 flagship (April 2026). 1.6T total parameters with 49B active, MoE architecture, MIT license. It targets the top reasoning tier — complex coding, multi-step analysis, and long-context tasks where quality matters more than speed.

## Specs

| Field              | Value                                       |
| ------------------ | ------------------------------------------- |
| Model ID           | `deepseek-v4-pro`                           |
| Best for           | Top reasoning, complex coding, long context |
| 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              | Medium                                      |
| Cost band          | Premium                                     |
| Release stage      | Preview                                     |

## Pricing

|        | Per 1M tokens |
| ------ | :-----------: |
| Input  |    \$2.349    |
| Output |    \$4.698    |

## Use this when

* You're doing serious reasoning or research where quality wins over latency.
* You're working with very long documents or repos and need 1M context.
* You want the strongest open-weight DeepSeek tier available on Kyma.
* You build coding agents that benefit from native tool calling and reasoning.

## Pick something else when

* You want a cheaper V4 option with the same family behavior: use [`deepseek-v4-flash`](/models/deepseek-v4-flash).
* You want the strongest agentic flagship: use [`kimi-k2.6`](/models/kimi-k2.6).
* You want the best general default at lower cost: use [`qwen-3.6-plus`](/models/qwen-3.6-plus).
* You only need the previous-gen DeepSeek flagship: use [`deepseek-v3`](/models/deepseek-v3).

## 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-pro",
    messages=[{"role": "user", "content": "Walk through the proof, then suggest a tighter bound and justify each step."}]
)
```