qwen3-vl-plus

Qwen3 VL Plus

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

qwen3-vl-plus has a 256,000 token context window. It supports up to 32,000 output tokens.

Q: How much does qwen3-vl-plus cost?

On AIHubMix, qwen3-vl-plus costs $0.137 per million input tokens and $1.37 per million output tokens. Cached input reads are billed at $0.027 per million tokens.

Q: What modalities does qwen3-vl-plus support?

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

Q: What capabilities does qwen3-vl-plus support?

qwen3-vl-plus supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.

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

qwen3-vl-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-vl-plus — no other code changes needed.

Q: Who created qwen3-vl-plus?

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

qwen3-vl-plus

Qwen

The Qwen3 series visual understanding model achieves an effective fusion of thinking and non-thinking modes. Its visual agent capabilities reach world-class levels on public test sets such as OS World. This version features comprehensive upgrades in visual coding, spatial perception, and multimodal reasoning; visual perception and recognition abilities are greatly enhanced, supporting ultra-long video understanding.

Pricing

Tier	Pricing	Cache Read
Tier	Pricing	Cache Read
Input<=32K	$0.137$1.370	-
32K<Input<=128K	$0.205$2.054	-
128K<Input<=2520K	$0.411$4.110	-

Input Modalities

Text
Vision
Video

Output Modalities

Text

Capabilities

Tools
Tool calling
Structured outputs

Try this model

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-vl-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-vl-plus?

What is the context length of qwen3-vl-plus?

How much does qwen3-vl-plus cost?

What modalities does qwen3-vl-plus support?

What capabilities does qwen3-vl-plus support?

How do I call qwen3-vl-plus via API?

Who created qwen3-vl-plus?

Compare qwen3-vl-plus

qwen3-vl-plusvsqwen3.8-max-preview qwen3-vl-plusvskimi-k3 qwen3-vl-plusvsglm-5.2 qwen3-vl-plusvsgrok-4.5

Qwen3 VL Plus

Pricing

Input Modalities

Output Modalities

Capabilities

Try this model

Frequently asked questions

What is qwen3-vl-plus?

What is the context length of qwen3-vl-plus?

How much does qwen3-vl-plus cost?

What modalities does qwen3-vl-plus support?

What capabilities does qwen3-vl-plus support?

How do I call qwen3-vl-plus via API?

Who created qwen3-vl-plus?

Compare qwen3-vl-plus

Product

Company

Developer

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Qwen3 VL Plus

Pricing

Input Modalities

Output Modalities

Capabilities

Try this model

Frequently asked questions

What is qwen3-vl-plus?

What is the context length of qwen3-vl-plus?

How much does qwen3-vl-plus cost?

What modalities does qwen3-vl-plus support?

What capabilities does qwen3-vl-plus support?

How do I call qwen3-vl-plus via API?

Who created qwen3-vl-plus?

Compare qwen3-vl-plus

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