Name: DeepSeek V4 Flash API
Brand: DeepSeek

Overview

What is DeepSeek V4 Flash API?

DeepSeek V4 Flash and Pro are large language models for chat and reasoning tasks with up to 1M context length. They support both standard and thinking modes, enabling efficient responses or deeper reasoning workflows.

Technical Specifications
- Supported inputs: Text
- Output: Text
- Context window: 1,000,000 tokens / Max output: 384,000 tokens
- Endpoint: /chat/completions

Performance Benchmarks
[embed]

DeepSeek V4 Flash API Pricing
- Input: $0.182 / 1M tokens
- Output: $0.364 / 1M tokens

Where to Use DeepSeek V4 Flash

Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.

Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.

Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.

Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.

Code Sample
[embed]

Uptime and performance

Uptime (24h): 100%
Uptime (7d): 100%
Availability (24h): 100%
Error rate (24h): 0%
End-to-end latency (24h median): 2.7s
Time to first token (24h median): 607ms
Throughput (24h median): 118.4 tok/s

Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.

Use cases

DeepSeek V4 Flash is documented as suited to everyday dialogue, content creation, basic RAG applications, and batch text processing.

It is also described as a good fit for chat and conversational experiences, high-volume content generation, classification, summarization, and extraction.

Another documented fit is real-time copilot and assistant use, especially where low latency and high throughput matter.

A further stated use case is agentic AI and tool-use workflows, including complex problem-solving in mathematics, software engineering, and enterprise AI assistants.

How to use DeepSeek V4 Flash API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to deepseek/deepseek-v4-flash.

import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "deepseek/deepseek-v4-flash",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ]
    },
)
print(r.json())

const r = await fetch("https://api.aimlapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "deepseek/deepseek-v4-flash",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ]
  }),
});
console.log(await r.json());

curl -X POST https://api.aimlapi.com/v1/chat/completions \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"deepseek/deepseek-v4-flash","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.