DeepSeek
DeepSeek V4.1 Flash
deepseek/deepseek-v4.1-flash
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
Pricing
| Input | $0.0975per 1M tokens |
|---|---|
| Output | $0.39per 1M tokens |
| Cached input | $0.0019per 1M tokens read from cache |
Specifications
| Context window | 1.05Mtokens |
|---|---|
| Max output | 66Ktokens |
| Provider | DeepSeek |
| Capabilities | Vision · Reasoning · Function calling |
| Input types | text, image |
Use DeepSeek V4.1 Flash
Point your existing OpenAI SDK at xKiro and pass deepseek/deepseek-v4.1-flash as the model. Nothing else in your code changes.
from openai import OpenAI
client = OpenAI(
base_url="https://api.xkiro.com/v1",
api_key="YOUR_XKIRO_KEY",
)
response = client.chat.completions.create(
model="deepseek/deepseek-v4.1-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Supported parameters
max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs · reasoning · include_reasoning
Related models
- DeepSeek V3.1Free
- DeepSeek V3.2Free
- DeepSeek V4 FlashFree
- DeepSeek V4 Flash 0731$0.091
- DeepSeek V4 Flash Vision$0.143
- DeepSeek V4 ProFree
Call DeepSeek V4.1 Flash through the same endpoints you already use.
Get an API key