Qwen3 VL 30B A3B Thinking
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Qwen3 VL 30B A3B Thinking

qwen3-vl-30b-a3b-thinkingllms.txt
Qwen
The Qwen3-VL series’ second-largest MoE model Thinking version offers fast response speed, stronger multimodal understanding and reasoning, visual agent capabilities, and ultra-long context support for long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities, making it capable of handling complex real-world tasks.

Pricing

  • Input Tokens: $0.103 /M tokens
  • Output Tokens: $1.028 /M tokens

Input Modalities

  • Text
  • Vision
  • Video

Output Modalities

  • Text

Capabilities

  • Thinking
  • Tools
  • Tool calling
  • Structured outputs

Providers

Baidu qwen3-vl-30b-a3b-thinking
Pricing$0.103$1.028
Context128K
Max output32K
Latency1.5S
Throughput41.8TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today
Alibaba Cloud qwen3-vl-30b-a3b-thinking
Pricing$0.103$1.028
Context128K
Max output32K
Latency0.4S
Throughput113.9TPS
Uptime
0.00% uptime 2 days ago
100.00% uptime yesterday
0.00% uptime today

Performance for qwen3-vl-30b-a3b-thinking

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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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-30b-a3b-thinking",
    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 30B A3B Thinking?

The Qwen3-VL series’ second-largest MoE model Thinking version offers fast response speed, stronger multimodal understanding and reasoning, visual agent capabilities, and ultra-long context support for long videos and long documents; it features comprehensive upgrades in image/video understanding, spatial perception, and universal recognition abilities, making it capable of handling complex real-world tasks.