DeepSeek-V4.1-Flash-1017

DeepSeek-V4.1-Flash-1017 is the October 2026 checkpoint of DeepSeek-V4.1-Flash, a multimodal mixture-of-experts model for coding, reasoning, visual understanding, and tool-using agents. It reads text and images, writes text, and combines a 1M-token context window and up to 1M output tokens with continuously adjustable reasoning effort and tool calls. It suits large-codebase work, document analysis, research, and long-running agentic tasks.

Complete technical specification for integration
DeepSeek-V4.1-Flash-1017 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-1017.
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-1017",
"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-1017",
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-1017',
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.