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

# DeepSeek-V4.1-Flash-1017

***

DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks.

***

# **Parameters**

For a more detailed explanation on possible parameters, refer to OpenAI's [Create chat completion](https://developers.openai.com/api/reference/resources/chat/subresources/completions/methods/create) documentation.

| **Field** | **Type** | **Definition** | **Default Value** |
| :- | :- | :- | :- |
| `model` | str | **Required**. The model key to be used. Use `deepseek-ai/deepseek-v4.1-flash`. | `deepseek-ai/deepseek-v4.1-flash` |
| `messages` | arr | **Required**. Conversation history. Each object has a `role` (`user` or `assistant`) and `content` (str). | - |
| `stream` | bool |  Routes the request to the streaming path vs non-streaming path. | `false` |
| `max_completion_tokens` | int | Output token cap. | - |
| `temperature` | float | Randomness. Greedy sampling at `0` ; identical results are not guaranteed. | `1` |
| `top_p` | float | Nucleus sampling cutoff. | `1` |
| `top_k` | int | Limits sampling to the top K tokens. | - |
| `reasoning_effort` | str | Constrains effort on reasoning for reasoning models. Supported values are `none`, `low`, `high`, `max`. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. Setting this value as `none` disables thinking. | `high` |
| `n` | int | How many chat completion choices to generate for each input message. Currently, we only support `1`. | `1` |
| `presence_penalty` | float | Number between `-2.0` and `2.0`. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics. | `0` |
| `frequency_penalty` | float | Number between `-2.0` and `2.0`. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model’s likelihood to repeat the same line verbatim. | `0` |
| `logprobs` | bool | Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the content of message. | `false` |
| `max_thinking_tokens` | int | Maximum number of thinking tokens allowed before generating the final answer. | - |

***

# Request Format

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

client = OpenAI(
    base_url="https://api-cdn.deploy.com/api/v1",
    api_key="DEPLOY_API_KEY",
)
response = client.chat.completions.create(
    model="deepseek-ai/deepseek-v4.1-flash-1017",
    messages=[{"role": "user", "content": "Explain TCP and UDP in two sentences."}],
)

print(response.choices[0].message.content)
```

```bash cURL theme={null}
curl https://api-cdn.deploy.com/api/v1/chat/completions \
  -H "Authorization: Bearer $DEPLOY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-ai/deepseek-v4.1-flash-1017",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
```

# Response Format

```json JSON theme={null}
{
  "id": "bf7eb425-c8ee-11f1-bc46-67542ee84316",
  "object": "chat.completion",
  "created": 1792106317,
  "model": "deepseek-ai/deepseek-v4.1-flash",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you today?",
        "reasoning_content": "The user just said \"Hello!\" That's a simple greeting. I should respond warmly and openly, inviting them to share what they need. No need for tools or complex analysis here—just a friendly, natural reply that sets a helpful tone. I'll keep it simple and engaging."
      },
      "finish_reason": "stop",
      "logprobs": null
    }
  ],
  "usage": {
    "prompt_tokens": 32,
    "completion_tokens": 68,
    "total_tokens": 100,
    "prompt_tokens_details": { "cached_tokens": 0 },
    "completion_tokens_details": { "reasoning_tokens": 58 }
  }
}
```


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