Qwen3.7-Flash

通义千问 3.7 Flash 原生视觉语言模型: 多模态理解与 Agent 执行能力全面升级, 万物识别/空间智能增强, 多模态 Coding 优化, 1M 上下文 + 推理

Model ID: qwen3.7-flash · Type: chat · Provider: Alibaba

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

Pricing

Input (per 1M tokens)$0.021 USD
Output (per 1M tokens)$0.091 USD
Cache read (per 1M tokens)$0.0021 USD
Cache write 5m (per 1M tokens)$0.0266 USD

Context tiers

≤ 32000 tokens$0.021 / 1M in$0.091 / 1M out
≤ 256000 tokens$0.07 / 1M in$0.28 / 1M out
> 256000$0.14 / 1M in$0.56 / 1M out
from openai import OpenAI

client = OpenAI(api_key="sk-...", base_url="https://api.router.ai/v1")
resp = client.chat.completions.create(
    model="qwen3.7-flash",
    messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)

FAQ

How much does Qwen3.7-Flash cost on 聚合 AI 中转站?

Qwen3.7-Flash (`qwen3.7-flash`) is billed per usage at $0.021/1M in · $0.091/1M out, in USD. Current pricing is always listed at https://yigekey.com/models/qwen3.7-flash.

How do I call Qwen3.7-Flash through 聚合 AI 中转站?

Send a request to https://api.router.ai/v1/v1/chat/completions with the header `Authorization: Bearer <your API key>` and `"model": "qwen3.7-flash"`. 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 Qwen3.7-Flash support?

Qwen3.7-Flash can be called on: /v1/chat/completions; /v1/messages.

What is Qwen3.7-Flash's context window?

Qwen3.7-Flash accepts up to 1,000,000 input tokens and can return up to 65,536 output tokens. Requests exceeding the input limit are rejected before reaching the model.

What can Qwen3.7-Flash do?

Qwen3.7-Flash supports: vision.

Who makes Qwen3.7-Flash?

Qwen3.7-Flash is a chat model from Alibaba, available through the 聚合 AI 中转站 gateway with the same API key as every other model.

Call it through the 聚合 AI 中转站 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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