DeepSeek V4.1 Flash · requesty

Name: DeepSeek V4.1 Flash
Brand: DeepSeek
Price: 0.5 USD
Availability: InStock

DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on output from a 552B-parameter backbone, an asymmetric split that keeps per-token compute low relative to the model's total size. Image understanding is native to the architecture, with visual and text embeddings trained jointly from the start of pre-training rather than added afterward as in the earlier experimental V4 Flash Vision Exp. It is suited for coding, terminal, and computer-use agents, along with long-horizon tasks that must run to completion across many steps and long-context analysis. Compressed KV caching cuts cache memory to roughly a quarter of the previous Flash generation, significantly reducing costs on agentic workloads. DeepSeek positions it as the cost-efficient tier of the V4.1 family and reports that it exceeds V4 Pro on performance, speed, and task completion time.

Modelo base Todos los modelos de esta base Todos los modelos del proveedor al proveedor

Entrada, $/1M $0.50

Salida, $/1M $1.50

Lectura de caché $0.13

Escritura de caché —

Contexto 1 048 576

Salida máx. 65 536

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	`lyceum/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": "lyceum/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": "lyceum/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": "lyceum/deepseek-v4.1-flash",
    "messages": [
      {
        "role": "user",
        "content": "Hello!"
      }
    ],
    "max_tokens": 256
  }),
});
console.log(await r.json());

Solicitud (JSON)

{
  "model": "lyceum/deepseek-v4.1-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello!"
    }
  ],
  "max_tokens": 256
}

Respuesta (JSON)

{
  "id": "chatcmpl-...",
  "object": "chat.completion",
  "model": "lyceum/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%7Clyceum/deepseek-v4.1-flash, prices checked 2026-11-04; seller's page: https://www.requesty.ai/models/lyceum/deepseek-v4.1-flash

Datos técnicos

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