qwen3-vl-30b-a3b-instruct

completions

byopenrouter

qwen3-vl-30b-a3b-instruct

completions

Published by: qwenProvider:

openrouter

Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal 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

262144

Input

$0.17 / 1M tokens

Output

$0.63 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

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

Context: 262144 Input: $0.17 / 1M tokensOutput: $0.63 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

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

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

Category Performance Scores:

Maths: Score 29.00 (Top 64% - Rank #207)
Finance: Score 31.20 (Top 62% - Rank #200)
Science: Score 65.90 (Top 42% - Rank #136)
Writing: Score 45.84 (Top 52% - Rank #168)
Academia: Score 51.90 (Top 42% - Rank #136)
Marketing: Score 44.82 (Top 54% - Rank #174)
Programming: Score 27.40 (Top 61% - Rank #197)

Overall Performance: 42.29357142857142 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	4.00	Top 80%	General Knowledge
AIME	29.70	Top 48%	Mathematics
GPQA	70.40	Top 37%	STEM (Physics, Chemistry, Biology)
MMLU	85.00	Top 53%	General Knowledge
SciCode	27.80	Top 59%	Scientific
MATH-500	89.30	Top 44%	Mathematics
MMLU-Pro	77.80	Top 44%	General Knowledge
LiveCodeBench	40.30	Top 49%	Programming
AA Math Index	29.00	Top 64%	Mathematics
AA Coding Index	27.40	Top 61%	Programming
AAII	33.40	Top 51%	General

MMLU Score: 85.00 - Massive Multitask Language Understanding benchmark

GPQA Score: 70.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 262144 tokens

Comparing against 322 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

4.0

General Knowledge

AIME

29.7

Mathematics

GPQA

70.4

STEM (Physics, Chemistry, Biology)

MMLU

85.0

General Knowledge

SciCode

27.8

Scientific

MATH-500

89.3

Mathematics

MMLU-Pro

77.8

General Knowledge

LiveCodeBench

40.3

Programming

AA Math Index

29.0

Mathematics

AA Coding Index

27.4

Programming

AAII

33.4

General

Metric	HLE	AIME	GPQA	MMLU	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	4.0	29.7	70.4	85.0	27.8	89.3	77.8	40.3	29.0	27.4	33.4

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Code Examples

Integration samples and API usage

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

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-instruct",
    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-instruct",
    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-instruct",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

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

Provider: openrouter

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

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

qwen3-vl-30b-a3b-instruct

qwen3-vl-30b-a3b-instruct

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

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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