Blog

Qwen3.7 Flash API: Pricing, 1M Context, Model ID and How to Call It

Short answer

Qwen3.7 Flash (qwen3.7-flash) is the low-cost, fast model in Alibaba's Qwen3.7 family; the current snapshot is qwen3.7-flash-2026-07-15. Alibaba Cloud Model Studio prices it in three tiers by prompt length. On the international (Singapore) site, prompts up to 32K cost $0.030 per million input tokens and $0.130 per million output tokens; on the China (Beijing) site, ¥0.2 and ¥0.8. The context window is 1 million tokens, with up to 64K tokens of output. On TeamoRouter it uses the same model ID, and on the day of writing (October 22, 2026) the price matches Model Studio's Beijing price, with the same three tiers, which is slightly below the international list price. The live price is on the model page.

Paying with crypto? Click Pay with crypto in the top-up dialog and send USDT, USDC or ETH straight from Binance, OKX or any wallet, from $5 (BEP20), with no browser extension. Steps: how to pay with USDT.

What Qwen3.7 Flash is for

Flash is the budget tier of each Qwen generation. According to Model Studio's docs, Qwen3.7 Flash reads text, images and video, answers in text, supports both thinking and non-thinking modes, and supports function calling and structured output.

It suits high-volume work where each request is simple: labeling and classifying text, pulling fields out of text, bulk translation and summaries, first drafts of support replies. For hard reasoning and coding, Qwen3.8-Max or Claude are safer choices.

Specs at a glance

From Alibaba Cloud Model Studio's text generation and vision docs:

Qwen3.7 Flash
Model ID qwen3.7-flash (currently qwen3.7-flash-2026-07-15)
Context window 1M tokens
Max output 64K tokens
Input / output Text, images and video in; text out
Modes Thinking and non-thinking
Function calling, structured output Supported

Pricing

Model Studio list price (pricing page, per million tokens, same price with or without thinking):

Prompt length per request International (Singapore) China (Beijing)
Up to 32K $0.030 in / $0.130 out ¥0.2 in / ¥0.8 out
32K–256K $0.100 in / $0.400 out ¥0.6 in / ¥2.4 out
256K–1M $0.200 in / $0.800 out ¥1.2 in / ¥4.8 out

Output covers both reasoning and the answer. Model Studio's batch calls are half price.

TeamoRouter bills per token at the same price as Model Studio's Beijing rate on the day of writing, with the same 32K and 256K tiers and no monthly fee. That works out slightly below the international list price. Prices follow upstream changes; current numbers are on the model page and the pricing page.

A quick example: 10,000 requests with 2,000 input tokens and 500 output tokens each is 20 million input tokens and 5 million output tokens, ¥8 in total at the Beijing list price, which is also what TeamoRouter charges on the day of writing (roughly $1.14). Thinking mode adds a lot more output tokens.

Watch the tiers: past 32K of input the per-token price triples, and past 256K it is six times the base rate. Do the math before sending a whole book in one request.

Call it through TeamoRouter

Use the OpenAI-compatible endpoint; the base URL includes /v1. Create a key in the dashboard:

python
from openai import OpenAI

client = OpenAI(base_url="https://api.teamorouter.com/v1", api_key="YOUR_TEAMOROUTER_KEY")
resp = client.chat.completions.create(
    model="qwen3.7-flash",
    messages=[{"role": "user", "content": "Classify this review as positive, neutral or negative: ..."}],
)
print(resp.choices[0].message.content)

Or with curl:

bash
curl https://api.teamorouter.com/v1/chat/completions \
  -H "Authorization: Bearer YOUR_TEAMOROUTER_KEY" \
  -H "content-type: application/json" \
  -d '{
    "model": "qwen3.7-flash",
    "messages": [{"role": "user", "content": "Translate into Spanish: the meeting moved to 3 pm."}]
  }'

Full reference: API integration.

Use it in Cherry Studio

  1. Open Settings → Model Services, click Add at the bottom of the provider list and choose OpenAI as the provider type.
  2. Paste your TeamoRouter key and set the API URL to https://api.teamorouter.com (no /v1).
  3. Click Fetch model list, select qwen3.7-flash and switch the provider on.

Step-by-step with screenshots: Cherry Studio setup.

Paying for usage

No subscription: you top up a balance from $5 and pay only for the tokens you use, by card or Alipay. You can also pay with USDT, USDC or ETH from any exchange app: click Pay with crypto in the top-up dialog, and the checkout shows which networks your amount supports (BEP20 works from $5). No wallet extension needed. See how to pay with crypto. The same balance covers Claude, GPT and Gemini.

FAQ

Qwen3.7 Flash or Qwen3.8 Flash? At Model Studio's Beijing prices, 3.7 Flash is cheaper for short prompts up to 32K (¥0.2 in and ¥0.8 out, versus ¥0.8 and ¥2.7 for 3.8 Flash), while 3.8 Flash is cheaper for prompts over 256K because it has one price all the way to 1M. TeamoRouter currently offers 3.7 Flash.

Does thinking mode cost more? The per-token price is the same, but thinking uses more output tokens, so each request costs more in total.

Can I use it in Codex? No. Codex sends requests through the Responses API, and TeamoRouter's /v1/responses supports GPT models only. For a desktop app, use a client that speaks the OpenAI-compatible API, such as Cherry Studio.

Do I need an Alibaba Cloud account? No. One TeamoRouter key covers Qwen, Claude, GPT and Gemini.

Next steps

Ready to connect?Log in · top up · create an API key — three steps to start.