Conéctalo en dos líneas.

Inicio rápido

curl https://cheapllm.shop/v1/chat/completions \
  -H "Authorization: Bearer $CHEAPLLM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4.1-flash-1017",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

En Windows, en PowerShell:

Invoke-RestMethod -Method Post -Uri "https://cheapllm.shop/v1/chat/completions" `
  -Headers @{ Authorization = "Bearer $env:CHEAPLLM_API_KEY" } -ContentType "application/json" `
  -Body '{"model": "deepseek-v4.1-flash-1017", "messages": [{"role": "user", "content": "Hello!"}]}'

Python

from openai import OpenAI

client = OpenAI(base_url="https://cheapllm.shop/v1", api_key="sk-cheap-...")

resp = client.chat.completions.create(
    model="deepseek-v4.1-flash-1017",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

Node / TypeScript

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://cheapllm.shop/v1", apiKey: process.env.CHEAPLLM_API_KEY });

const resp = await client.chat.completions.create({
  model: "deepseek-v4.1-flash-1017",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);

Sin SDK, fetch simple

const r = await fetch("https://cheapllm.shop/v1/chat/completions", {
  method: "POST",
  headers: { "Authorization": `Bearer ${KEY}`, "Content-Type": "application/json" },
  body: JSON.stringify({ model: "deepseek-v4.1-flash-1017", messages: [{ role: "user", content: "Hello!" }] }),
});
const data = await r.json();

Claves

Envía tu clave como Authorization: Bearer sk-cheap-.... El encabezado x-api-key también funciona, para los clientes que lo usan.

• Crea hasta 25 claves en el panel, una por aplicación o compañero de equipo.
• Una clave se muestra una sola vez, cuando la creas. Solo almacenamos una huella.
• La revocación surte efecto en la siguiente solicitud.
• CORS está abierto, así que las aplicaciones de navegador pueden llamar a la API directamente. Pero no incluyas una clave dentro de una página web pública; cualquiera puede leerla.

Completaciones de chat

POST /v1/chat/completions acepta el mismo cuerpo que el endpoint de OpenAI. Los campos que más se usan:

Las respuestas llevan un objeto usage con prompt_tokens y completion_tokens, y un encabezado x-request-id que vale la pena citar si nos escribes.

Ventana de contexto: tokens.

Streaming

Con "stream": true obtienes text/event-stream: una línea data: {...} por fragmento y un data: [DONE] final. Añade "stream_options": {"include_usage": true} para obtener un último fragmento con recuentos de tokens.

stream = client.chat.completions.create(
    model="deepseek-v4.1-flash-1017",
    messages=[{"role": "user", "content": "Count to five, slowly."}],
    stream=True,
    stream_options={"include_usage": True},
)
for chunk in stream:
    if chunk.choices:
        print(chunk.choices[0].delta.content or "", end="", flush=True)
    elif chunk.usage:
        print("\n", chunk.usage)

Cerrar la conexión detiene la generación, así que una solicitud cancelada deja de consumir tiempo.

Razonamiento

El modelo piensa antes de responder. El razonamiento llega por separado de la respuesta, así que nunca contamina tu salida:

Modelos

GET /v1/models lista lo que hay en el menú. Hoy es un solo modelo:

{"object": "list", "data": [{"id": "deepseek-v4.1-flash-1017", "object": "model", "owned_by": "cheapllm"}]}

Model names containing deepseek are routed to it too, so tools with a hard-coded DeepSeek model name just work.

Limits

Free tier

During the beta every account is free, with no rate limit. When the beta ends, every account keeps a permanent free tier, with no card: at least 5,000 input tokens and 1,000 output tokens per hour (5,000 and 1,000 today), counted per account over a rolling hour, all keys together. These numbers can go up, never below that minimum. Past the free tier, usage is billed at $0.005 per million input tokens, $0.001 per million cached input tokens and $0.14 per million output tokens, with no rate limit. We'll email every account before the beta ends.

Rate and size limits

Errors

Errors come back as {"error": {"message", "type", "code"}}, like OpenAI's.

Anthropic and Responses formats

Tools built for the Anthropic Messages API (Claude Code, the Anthropic SDKs) can use the same model. Point them at https://cheapllm.shop; they call POST /v1/messages. The key works as x-api-key or Authorization: Bearer. Any model name is accepted and routed to deepseek-v4.1-flash-1017.

curl https://cheapllm.shop/v1/messages \
  -H "x-api-key: $CHEAPLLM_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{"model": "deepseek-v4.1-flash-1017", "max_tokens": 1024,
       "messages": [{"role": "user", "content": "Hello!"}]}'

Supported: text, images, system prompts, tool use and tool results, streaming events, stop sequences. Thinking blocks are not returned. POST /v1/messages/count_tokens returns an estimate.

Tools built for the OpenAI Responses API (Codex CLI, recent OpenAI SDK code) can call POST /v1/responses on https://cheapllm.shop/v1: text and image input, instructions, function and custom tools, streaming events. Stateless only (store and previous_response_id are not kept).

Your tools

Step-by-step settings for Claude Code, OpenCode, Codex CLI, DeepSeek Harness, Cline, Roo Code, Kilo Code, Continue, Copilot, Cursor, Zed and many more are on the integrations page. In short: anything with an "OpenAI-compatible" or "custom base URL" setting works with the base URL, your key and the model name above.

Environment variables

export OPENAI_BASE_URL=https://cheapllm.shop/v1
export OPENAI_API_BASE=https://cheapllm.shop/v1   # older libraries
export OPENAI_API_KEY=sk-cheap-...

Windows (PowerShell; setx keeps them for new windows):

setx OPENAI_BASE_URL "https://cheapllm.shop/v1"
setx OPENAI_API_BASE "https://cheapllm.shop/v1"
setx OPENAI_API_KEY "sk-cheap-..."

Or let the installer pick, install and configure your tools (all 40 from the integrations page): curl -fsSL https://cheapllm.shop/setup.sh | sh on macOS and Linux, irm https://cheapllm.shop/setup.ps1 | iex in Windows PowerShell.

Open WebUI

Admin settings, Connections, OpenAI API: add a connection with the base URL and your key. The model appears in the picker.

LibreChat

endpoints:
  custom:
    - name: "cheapllm"
      apiKey: "${CHEAPLLM_API_KEY}"
      baseURL: "https://cheapllm.shop/v1"
      models:
        default: ["deepseek-v4.1-flash-1017"]

Continue (VS Code, JetBrains)

models:
  - name: cheapllm
    provider: openai
    model: deepseek-v4.1-flash-1017
    apiBase: https://cheapllm.shop/v1
    apiKey: sk-cheap-...

Aider

aider --openai-api-base https://cheapllm.shop/v1 --openai-api-key sk-cheap-... \
      --model openai/deepseek-v4.1-flash-1017

Cursor

Settings, Models: paste your key in the OpenAI API key field, turn on "Override OpenAI Base URL" with the base URL, then add the model name as a custom model.

LangChain

from langchain_openai import ChatOpenAI
llm = ChatOpenAI(model="deepseek-v4.1-flash-1017", base_url="https://cheapllm.shop/v1", api_key="sk-cheap-...")

Vercel AI SDK

import { createOpenAICompatible } from "@ai-sdk/openai-compatible";
const cheapllm = createOpenAICompatible({ name: "cheapllm", baseURL: "https://cheapllm.shop/v1", apiKey: process.env.CHEAPLLM_API_KEY });
const model = cheapllm("deepseek-v4.1-flash-1017");

Stuck? Write to [email protected] with the x-request-id of the failing call.