DeepSeek-V4.1-Flash
DeepSeek-V4.1-Flash is a multimodal mixture-of-experts model for coding, reasoning, visual understanding, and tool-using agents. It processes text and images, generates text, and combines a 1M-token context window with continuously adjustable reasoning effort. Its Causal Encoder-Decoder architecture, sparse attention, and compressed KV cache reduce the memory and computation required for long inputs, making it well suited to large-codebase work, document analysis, research, and sustained agentic tasks.
DeepSeek-V4.1-Flash is served through Runware's compatible endpoints, which take another provider's request format. Point the SDK you already use at Runware by changing the base URL and the API key, and set model to deepseek:v4.1@flash.
Requests and responses keep the provider's format, so its reference documents every parameter.
| Endpoint | Format |
|---|---|
/v1/chat/completions | OpenAI Chat Completions |
Chat Completions
curl -X POST https://api.runware.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNWARE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek:v4.1@flash",
"messages": [{"role": "user", "content": "What is the capital of France?"}]
}'from openai import OpenAI
client = OpenAI(
api_key="your_runware_api_key",
base_url="https://api.runware.ai/v1",
)
response = client.chat.completions.create(
model="deepseek:v4.1@flash",
messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(response.choices[0].message.content)import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'your_runware_api_key',
baseURL: 'https://api.runware.ai/v1',
});
const response = await client.chat.completions.create({
model: 'deepseek:v4.1@flash',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});
console.log(response.choices[0].message.content);Compatible APIs covers streaming, tool calling and how the endpoint differs from OpenAI, and the OpenAI API reference lists every parameter.