Qwen: Qwen3-VL-Plus

The Qwen3 series VL models effectively integrates thinking and non-thinking modes, achieving world-leading performance in visual agent capabilities on public benchmark datasets such as OS World. This version features comprehensive upgrades in areas like visual coding, spatial perception, and multimodal reasoning, significantly enhancing visual perception and recognition abilities, and supporting the understanding of ultra-long videos.

by Qwen
Input type Output type Publish time 2025-09-23

Recent activity on Qwen3-VL-Plus

Tokens processed per day

Throughput

Providers Min (tokens/s) Max (tokens/s) Avg (tokens/s)
Alibaba Cloud 7.91 46.09 27.23

First Token Latency

Providers Min (ms) Max (ms) Avg (ms)
Alibaba Cloud 827 19859 9216.00

Uptime stats for Qwen3-VL-Plus

Uptime stats for Qwen3-VL-Plus across all providers

Uptime

Alibaba Cloud

( Percent )

Providers for Qwen3-VL-Plus

ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Alibaba Cloud

Latency

26.85

s

Throughput

49.94 tps

Uptime

100.00

%

Recent uptime

Apr 30, 2026 6:00 PM-

Price

Tiered Pricing

0 ≤ Input < 32k

Input

$ 0.2/ M tokens

Output

$ 1.6/ M tokens

Cache read

implicit_cache

$ 0.04/ M tokens

Cache write 5m

Cache write 1h

Cache write

$ 0.25/ M tokens

Web search

Image

Image input

Image output

Image cache

reasoning

Video

Audio

Audio cache read

Audio input

Audio & Video

Image search

Web search image

Model limitation

Context

262.14K

Max output

32.77K

Supported Parameters

max_completion_tokens

temperature

top_p

frequency_penalty

  • presence_penalty

seed

  • logit_bias

  • logprobs

  • top_logprobs

  • response_format

stop

tools

tool_choice

  • parallel_tool_calls

Model Protocol Compatibility

OpenAI Chat Completions

OpenAI Responses

OpenAI Embeddings

Anthropic Messages

Google Gemini

Google Imagen

Google Video

Status Page

status page

Sample code and API for Qwen3-VL-Plus

ZenMux normalizes requests and responses across providers for you.

Create API Key

OpenAI: Python-SDK

OpenAI: cURL

from openai import OpenAI

client = OpenAI(
  base_url="https://zenmux.ai/api/v1",
  api_key="<ZENMUX_API_KEY>",
)

# Chat Completion
completion = client.chat.completions.create(
  model="qwen/qwen3-vl-plus",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)