AI Rate Card

DeepSeek V4.1 Flash · requesty

DeepSeek V4.1 Flash is a 552B parameter Mixture of Experts model built on a new Causal Encoder Decoder architecture that activates only 8B parameters for input and 16B for output, giving frontier level intelligence at a fraction of the cost. It is the smallest model in the new DeepSeek architecture family and the first Flash with native vision and multimodal understanding. V4.1 Flash beats DeepSeek V4 Pro on performance, cost, speed and task completion time and scores 88.1 on CyberGym. Its KV cache is compressed to 890 bytes per token, four times smaller than V4 Flash and over 400 times smaller than V1, cutting the cache hit costs that dominate agent workloads. 1M token context window, 384K max output, thinking and non thinking modes, tool calling, structured JSON output and prompt caching. Served in the EU via Sference at $0.50 input, $0.05 cache read and $1.50 output per 1M tokens, with no data retention and no training on user data. Open weights are published on Hugging Face. Ideal for EU hosted coding agents, long context RAG, high throughput batch processing and multimodal assistants.

Modelo baseTodos los modelos de esta baseTodos los modelos del proveedoral proveedor

Lea también: Precio de la API de DeepSeek: V4 Pro y V4 Flash en cada proveedor

Todos los modelos de DeepSeek en todos los proveedores

Entrada, $/1M $0.50

Salida, $/1M $1.50

Lectura de caché $0.05

Escritura de caché —

Contexto 1 048 576

Salida máx. 393 216

Acepta imágenes, texto

Última comprobación 04.11.2026 12:00:14 UTC

Fuente página del proveedor

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API

API compatible con OpenAI: los SDK oficiales de OpenAI funcionan con esta URL base. Sustituye YOUR_API_KEY por tu clave del proveedor.

URL base de la API
https://router.requesty.ai/v1
Endpoint
https://router.requesty.ai/v1/chat/completions
ID del modelo
sference/deepseek-v4.1-flash
curl
curl https://router.requesty.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "sference/deepseek-v4.1-flash", "messages": [{"role": "user", "content": "Hello!"}], "max_tokens": 256}'
Python
import requests

r = requests.post(
    "https://router.requesty.ai/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
      "model": "sference/deepseek-v4.1-flash",
      "messages": [
        {
          "role": "user",
          "content": "Hello!"
        }
      ],
      "max_tokens": 256
    },
)
print(r.json())
JavaScript
const r = await fetch("https://router.requesty.ai/v1/chat/completions", {
  method: "POST",
  headers: {Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json"},
  body: JSON.stringify({
    "model": "sference/deepseek-v4.1-flash",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());
Solicitud (JSON)
{
  "model": "sference/deepseek-v4.1-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}
Respuesta (JSON)
{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "sference/deepseek-v4.1-flash",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hi! How can I help?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 9,
    "completion_tokens": 12,
    "total_tokens": 21
  }
}

La dirección se toma de la lista de modelos del proveedor; compruébala con su documentación.

Documentación de la API del proveedor

Source: AI Rate Card, https://airatecard.com/es/c/offer%3Arequesty%7Csference/deepseek-v4.1-flash, prices checked 2026-11-04; seller's page: https://www.requesty.ai/models/sference/deepseek-v4.1-flash

Datos técnicos

ID: offer:requesty|sference/deepseek-v4.1-flash