deepseek-v4-flash

Name: deepseek-v4-flash
Author: DeepSeek

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fa

Starting atSave 12%

Input

$0.1247/ 1M

~~$0.1429~~

Output

$0.2493/ 1M

~~$0.2857~~

Open dashboard

Available from 2 channels

Each channel is compared at its lowest input-price tier; output breaks ties. A dash means /api/pricing does not provide that rate. Selecting a channel updates the endpoints and call example below.

ChannelUSD per 1M tokensInputOutputCache readCache write

jd/deepseek-v4-flash

Lowest input

Input

$0.1247

Output

$0.2493

Cache read

$0.025

Cache write

baidu/deepseek-v4-flash

Input

$0.1307

Output

$0.2613

Cache read

$0.0261

Cache write

Endpoints

POST/v1/chat/completionsChat Completions

Call it

Using jd/deepseek-v4-flash

1from openai import OpenAI23client = OpenAI(4    base_url="https://www.realrelay.ai/v1",5    api_key="sk-***",6)78response = client.chat.completions.create(9    model="jd/deepseek-v4-flash",10    messages=[{"role": "user", "content": "Hello"}],11)1213print(response.choices[0].message.content)

1import OpenAI from "openai";23const client = new OpenAI({4  baseURL: "https://www.realrelay.ai/v1",5  apiKey: process.env.REALRELAY_API_KEY,6});78const response = await client.chat.completions.create({9  model: "jd/deepseek-v4-flash",10  messages: [{ role: "user", content: "Hello" }],11});1213console.log(response.choices[0].message.content);

1curl https://www.realrelay.ai/v1/chat/completions \2  -H "Authorization: Bearer $REALRELAY_API_KEY" \3  -H "Content-Type: application/json" \4  -d '{5    "model": "jd/deepseek-v4-flash",6    "messages": [{ "role": "user", "content": "Hello" }]7  }'

Prices and availability as published on Oct 4, 2026.

Capabilities

MCPPrompt cachingReasoningTool useWeb search

Input

Text

Output

Text