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

RESUMEN

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

Unified endpoint
SDK snippets
Agent install path
Las generaciones fallidas no se cobran

PRECIOS

Las generaciones fallidas no se cobran

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

FICHA TÉCNICA

Model ID	deepseek-v4-flash
Proveedor	DeepSeek
Modalidad	text
Task type	synchronous
Facturación	1K tokens
Endpoint	/v1/chat/completions
Commercial	Yes
Status	Operational

INICIO RÁPIDO

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

CÓMO FUNCIONA