qwen3-vl-30b-a3b-thinking

completions

byopenrouter

qwen3-vl-30b-a3b-thinking

completions

Published by: qwenProvider:

openrouter

Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels in perception of real-world/synthetic categories, 2D/3D spatial grounding, and long-form visual comprehension, achieving competitive multimodal benchmark results. For agentic use, it handles multi-image multi-turn instructions, video timeline alignments, GUI automation, and visual coding from sketches to debugged UI. Text performance matches flagship Qwen3 models, suiting document AI, OCR, UI assistance, spatial tasks, and agent research.

Released

Sep 22, 2025

Knowledge

Mar 26, 2025

License

Apache-2.0

Context

131072

Input

$0.24 / 1M tokens

Output

$1 / 1M tokens

Capabilities: tools, reasoning

Accepts: text, image

Returns: text

Released Sep 22, 2025Knowledge Cutoff: Mar 26, 2025License: Apache-2.0

Context: 131072 Input: $0.24 / 1M tokensOutput: $1 / 1M tokensCapabilities: tools, reasoningAccepts: text, imageReturns: text

Access qwen3-vl-30b-a3b-thinking through LangDB AI Gateway

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Benchmark Results for qwen3-vl-30b-a3b-thinking

Category Performance Scores:

Science: Score 77.07 (Top 11% - Rank #36)
Writing: Score 78.21 (Top 3% - Rank #10)

Overall Performance: 77.640625 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
GPQA	74.40	Top 30%	STEM (Physics, Chemistry, Biology)
MMLU	87.60	Top 29%	General Knowledge
MMLU-Pro	80.50	Top 37%	General Knowledge

MMLU Score: 87.60 - Massive Multitask Language Understanding benchmark

GPQA Score: 74.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 131072 tokens

Comparing against 322 models in the database

Category Scores

writing#6

Benchmark Tests

View Other Benchmarks

GPQA

74.4

STEM (Physics, Chemistry, Biology)

MMLU

87.6

General Knowledge

MMLU-Pro

80.5

General Knowledge

Metric	GPQA	MMLU	MMLU-Pro
Score	74.4	87.6	80.5

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Code Examples

Integration samples and API usage

Code Samples for qwen3-vl-30b-a3b-thinking

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai//projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="qwen3-vl-30b-a3b-thinking",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai//projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "qwen3-vl-30b-a3b-thinking",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai//projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-vl-30b-a3b-thinking",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: qwen3-vl-30b-a3b-thinking

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai/

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qwen3-vl-30b-a3b-thinking by openrouter - AI Model Details, Pricing, and Performance Metrics

qwen3-vl-30b-a3b-thinking

qwen3-vl-30b-a3b-thinking

Access qwen3-vl-30b-a3b-thinking through LangDB AI Gateway

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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