qwen3.7-plus

Qwen3.7 Plus

Q: What is the context length of qwen3.7-plus?

qwen3.7-plus has a 1,000,000 token context window. It supports up to 131,072 output tokens.

Q: How much does qwen3.7-plus cost?

On AIHubMix, qwen3.7-plus costs $0.282 per million input tokens and $1.128 per million output tokens. Cached input reads are billed at $0.056 per million tokens.

Q: What modalities does qwen3.7-plus support?

qwen3.7-plus accepts text, image and video input. It returns text output.

Q: What capabilities does qwen3.7-plus support?

qwen3.7-plus supports tool calling, function calling, structured outputs, web search, long context and thinking. Per-protocol parameter support is listed in the capability table on this page.

Q: How do I call qwen3.7-plus via API?

qwen3.7-plus is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to qwen3.7-plus — no other code changes needed.

Q: Who created qwen3.7-plus?

qwen3.7-plus is developed by Qwen. AIHubMix aggregates it alongside models from other providers behind one API and one bill.

qwen3.7-plus

Qwen

The Qwen 3.7 series' mid-to-high cost-performance "Plus" model builds on strong text capabilities with a comprehensive upgrade to vision-language abilities, while retaining full agent capabilities in coding, tool use, and productivity workflows. Its core features are multimodal interactive hybrid agent capabilities, able to perceive real-world scenes, read screens and operate GUIs, generate code based on visual references, and provide end-to-end navigation of mobile applications.

Pricing

Tier	Pricing	Web Search	Cache Write	Cache Read
Tier	Pricing	Web Search	Cache Write	Cache Read
0<Input<=256K	$0.282$1.128	$0.000548/request	$0.3525/M tokens	$0.0564/M tokens
256K<Input<=1000K	$0.845$3.380	$0.000548/request	$1.05625/M tokens	$0.169/M tokens

Input Modalities

Text
Vision
Video

Output Modalities

Text

Context length

1M tokens

Max output

131K tokens

Capabilities

Thinking
Streaming
Tool calling
Web search
URL context
Code interpreter
Computer use
File search
Memory tool
Structured outputs
Citations
Prompt caching
Background mode
Server-side sessions

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Chat Completions

Messages

Python

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="qwen3.7-plus",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is qwen3.7-plus?

What is the context length of qwen3.7-plus?

How much does qwen3.7-plus cost?

What modalities does qwen3.7-plus support?

What capabilities does qwen3.7-plus support?

How do I call qwen3.7-plus via API?

Who created qwen3.7-plus?

Compare qwen3.7-plus

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Qwen3.7 Plus

Pricing

Input Modalities

Output Modalities

Context length

Max output

Capabilities

Try this model

Frequently asked questions

What is qwen3.7-plus?

What is the context length of qwen3.7-plus?

How much does qwen3.7-plus cost?

What modalities does qwen3.7-plus support?

What capabilities does qwen3.7-plus support?

How do I call qwen3.7-plus via API?

Who created qwen3.7-plus?

Compare qwen3.7-plus

Product

Company

Developer

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Qwen3.7 Plus

Pricing

Input Modalities

Output Modalities

Context length

Max output

Capabilities

Try this model

Frequently asked questions

What is qwen3.7-plus?

What is the context length of qwen3.7-plus?

How much does qwen3.7-plus cost?

What modalities does qwen3.7-plus support?

What capabilities does qwen3.7-plus support?

How do I call qwen3.7-plus via API?

Who created qwen3.7-plus?

Compare qwen3.7-plus

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