DeepSeek-V4-Flash-Vision-Exp

DeepSeek V4 Flash 视觉实验版，支持图片输入，1M 上下文

Model ID: deepseek-v4-flash-vision-exp · Type: chat · Provider: DeepSeek

Endpoints: /v1/chat/completions · /v1/messages

Pricing

Input (per 1M tokens)$0.242 USD
Output (per 1M tokens)$0.726 USD
Cache read (per 1M tokens)$0.0077 USD
from openai import OpenAI

client = OpenAI(api_key="sk-...", base_url="https://api.router.ai/v1")
resp = client.chat.completions.create(
    model="deepseek-v4-flash-vision-exp",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

FAQ

How much does DeepSeek-V4-Flash-Vision-Exp cost on 370.AI?

DeepSeek-V4-Flash-Vision-Exp (`deepseek-v4-flash-vision-exp`) is billed per usage at $0.242/1M in · $0.726/1M out, in USD. Current pricing is always listed at https://370.ai/models/deepseek-v4-flash-vision-exp.

How do I call DeepSeek-V4-Flash-Vision-Exp through 370.AI?

Send a request to https://api.router.ai/v1/v1/chat/completions with the header `Authorization: Bearer <your API key>` and `"model": "deepseek-v4-flash-vision-exp"`. The API is OpenAI-compatible, so any OpenAI SDK works by changing base_url to https://api.router.ai/v1 — no other code change.

Which endpoints does DeepSeek-V4-Flash-Vision-Exp support?

DeepSeek-V4-Flash-Vision-Exp can be called on: /v1/chat/completions; /v1/messages.

What is DeepSeek-V4-Flash-Vision-Exp's context window?

DeepSeek-V4-Flash-Vision-Exp accepts up to 1,048,576 input tokens and can return up to 393,216 output tokens. Requests exceeding the input limit are rejected before reaching the model.

What can DeepSeek-V4-Flash-Vision-Exp do?

DeepSeek-V4-Flash-Vision-Exp supports: vision, prompt_caching.

Who makes DeepSeek-V4-Flash-Vision-Exp?

DeepSeek-V4-Flash-Vision-Exp is a chat model from DeepSeek, available through the 370.AI gateway with the same API key as every other model.

Call it through the 370.AI OpenAI-compatible endpoint (API base: https://api.router.ai/v1). AI agents can discover and call every model on this gateway through MCP (https://mcp.router.ai/mcp) with no manual integration.

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