VARIANTE · DeepSeek / DeepSeek

DeepSeek deepseek-v4-flash API

A model variant exposed through RunAPI's unified AI API.

Operational · text · Commercial use supported
# Works with Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents
npx skills add runapi-ai/deepseek -g
The -g flag installs globally so every project picks it up.
Or paste this prompt to your AI agent:
Install the DeepSeek skill for me:

1. Clone https://github.com/runapi-ai/deepseek
2. Copy the skills/deepseek/ directory into your
   user-level skills directory (e.g. ~/.claude/skills/
   for Claude Code, ~/.codex/skills/ for Codex).
3. Verify that SKILL.md is present.
4. Confirm the install path when done.
Switch variant
deepseek-v4-pro
ÜBERBLICK

DeepSeek deepseek-v4-flash is available through the same RunAPI auth, SDKs, and agent skill workflow.

  • Unified endpoint
  • SDK snippets
  • Agent install path
  • Fehlgeschlagene Generierungen werden nicht berechnet
PREISE

PREISE

Fehlgeschlagene Generierungen werden nicht berechnet
Chat completion
Input $0.28 / 1M tokens
Output $0.56 / 1M tokens
Cache read $0.01
Messages API
Input $0.28 / 1M tokens
Output $0.56 / 1M tokens
Cache read $0.01
DATENBLATT

DATENBLATT

Model ID deepseek-v4-flash
Anbieter DeepSeek
Modalität text
Task type synchronous
Abrechnung 1K tokens
Endpoint /v1/chat/completions
Commercial Yes
Status Operational
QUICKSTART

Quickstart — deepseek-v4-flash

runapi.ai
curl -X POST https://runapi.ai/v1/chat/completions \
  -H "Authorization: Bearer $RUNAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "deepseek-v4-flash",
  "messages": [
    {
      "role": "user",
      "content": "Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."
    }
  ]
}'
import { DeepseekClient } from "@runapi.ai/deepseek";

const client = new DeepseekClient();
const result = await client.chatCompletion.run({
    model: "deepseek-v4-flash",
    messages: [{"role":"user","content":"Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}],
});
require "runapi/deepseek"

client = RunApi::Deepseek::Client.new
result = client.chat_completion.run(
    model: "deepseek-v4-flash",
    messages: [{role: "user", content: "Refactor this Python module for readability, explain each change, then add unit tests for the edge cases."}]
)
@runapi.ai/deepseek v1
SO FUNKTIONIERT ES

How to use deepseek-v4-flash

01

Choose endpoint

Pick the endpoint and copy the SDK snippet.

02

Pass model ID

Use this variant ID in the request body.

03

Run task

Submit the request and store the returned task ID.

04

Collect output

Poll or receive the callback when the task finishes.

UNTERSCHIEDE

How deepseek-v4-flash compares

VS DEEPSEEK-V4-PRO

Fast, low-cost reasoning; toggle thinking per request

Flagship reasoning and analysis for complex agentic work

ANWENDUNGSFÄLLE

Where to use this variant

Chat

Use LLMs for chat and reasoning.

Code

Generate and review implementation work.

Automation

Connect models into backend tasks.

FAQ

Frequently asked questions about deepseek-v4-flash

How do I select deepseek-v4-flash?

Pass the model ID shown in the quickstart.

Is pricing usage-based?

Yes. Pricing is metered per call or unit.

JETZT STARTEN

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