Atlas / Models / Qwen / Qwen: Qwen3 VL 30B A3B Instruct

Qwen: Qwen3 VL 30B A3B Instruct✓ Catalog verified

qwen/qwen3-vl-30b-a3b-instruct

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.

Input price
$0.13 /1M
Output price
$0.52 /1M
Context
131K
Modalities
textimage
Released
Oct 6, 2025
Tool calling
✓ Yes
Atlas signal
83/100
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Overview

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.

Access: available through the official Qwen API. Context window: 131K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierqwen/qwen3-vl-30b-a3b-instruct
ProviderQwen
Model typeMultimodal LLM
Context window131K catalog
Input modalitiestext · image
Output modalitiestext
ReleasedOct 6, 2025
TokenizerQwen3
ModeratedNo
Architecture modalitytext+image->text
Supported parameters
frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_k": 20,
  "top_p": 0.8,
  "temperature": 0.7,
  "presence_penalty": null,
  "frequency_penalty": null,
  "repetition_penalty": 1
}
03

Pricing

Live pricing components for qwen/qwen3-vl-30b-a3b-instruct as published in the catalog.

$0.13
Input /1M
$0.52
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$1.3e-7$0.13 / 1MPer input token
Completion tokens$5.2e-7$0.52 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.17Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Qwen: Qwen3 VL 30B A3B Instruct
MMLU Signal (Reasoning)
79signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
79signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Qwen: Qwen3 VL 30B A3B Instruct through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen3-vl-30b-a3b-instruct",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

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

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Qwen: Qwen3 VL 30B A3B Instruct cost?

$0.13 per 1M input tokens and $0.52 per 1M output tokens on the official Qwen API.

What is the context window of Qwen: Qwen3 VL 30B A3B Instruct?

Qwen: Qwen3 VL 30B A3B Instruct supports up to 131K tokens of context.

Does Qwen: Qwen3 VL 30B A3B Instruct support tool / function calling?

Yes, Qwen: Qwen3 VL 30B A3B Instruct supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Qwen: Qwen3 VL 30B A3B Instruct?

Use the official Qwen API with the model id `qwen/qwen3-vl-30b-a3b-instruct`. See the Quick start section above for code examples.