DeepSeek-V4-Flash-0731

DeepSeek-V4-Flash is DeepSeek's fast, efficient, and cost-focused frontier language model for coding, reasoning, and agent workflows. It supports both thinking and non-thinking modes, a 1M token context window, up to 384K output tokens, tool calls, JSON output, and efficient long-context operation for software, research, and structured professional tasks.

Complete technical specification for integration
DeepSeek-V4-Flash-0731 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@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@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@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@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.