Qwen: Qwen3 VL 30B A3B Instruct

Public pricingIntelligence 79/100Medium memoryविज़नटूल उपयोग

Qwen: Qwen3 VL 30B A3B Instruct एक मल्टीमॉडल मॉडल है, जिसे vision-language समझ के लिए बनाया गया है। यह multimodal input handling، छवि समझ, 131K tokens का context और कम लागत profile जोड़कर image and video understanding में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.13/1M

Output

$0.52/1M

Cached

$0.02/1M

Batch

$0.04/1M

Calculate your Qwen3 VL 30B A3B Instruct bill.

Set your workload — see cost at your exact volume.

What would Qwen3 VL 30B A3B Instruct cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Qwen3 VL 30B A3B Instruct at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

qwen3

Released

Oct 2025

Training cutoff

Apr 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Qwen3 VL 30B A3B Instruct

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Qwen3 VL 30B A3B Instruct — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Qwen3 VL 30B A3B Instruct costs roughly $31 per month. Input is $0.13 /1M tokens and output is $0.52 /1M tokens.
Qwen3 VL 30B A3B Instruct has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Qwen3 VL 30B A3B Instruct supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Qwen3 VL 30B A3B Instruct was released in October 2025, with training data cut off around April 2025.
Models in a similar class include Qwen3 VL 30B A3B Thinking, Qwen VL Plus, Qwen3 VL 8B Thinking. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Qwen3 VL 30B A3B Instruct against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard